Vol. 22 Núm. 4 (2023): Revista UIS Ingenierías
Artículos

Tendencias de investigación en los estudios de colaboración científica sobre el COVID-19

Constanza Beatriz Pérez-Martelo
Universidad Central
Astrid Jaime
Corporación Universitaria Minuto de Dios
Jorge Enrique Mejía-Quiroga
Universidad Central
Nubia Isolina Patarroyo-Durán
Universidad El Bosque
Yamile Adriana Jaime-Arias
Universidad de La Salle

Publicado 2023-12-01

Palabras clave

  • análisis de redes sociales,
  • bibliometría,
  • colaboración científica,
  • COVID-19,
  • pandemia,
  • tendencias de investigación
  • ...Más
    Menos

Cómo citar

Pérez-Martelo , C. B. ., Jaime, A., Mejía-Quiroga, J. E., Patarroyo-Durán , N. I. ., & Jaime-Arias, Y. A. . (2023). Tendencias de investigación en los estudios de colaboración científica sobre el COVID-19 . Revista UIS Ingenierías, 22(4), 165–180. https://doi.org/10.18273/revuin.v22n4-2023014

Resumen

Este artículo tiene como propósito identificar las tendencias de investigación en los estudios de colaboración científica sobre el COVID-19, y la presencia que han tenido en esas contribuciones distintos países, enfoques, áreas de conocimiento y tópicos.  Se utilizan métodos bibliométricos, de análisis de redes sociales y de contenido con un corpus de 63 documentos indexados en Scopus, publicados entre enero del 2020 y junio del 2021. Se encuentra que los países con un mayor número de publicaciones son el Reino Unido y Estados Unidos, seguidos de China y Canadá.  En cuanto a las revistas, resaltan las del área de medicina.  Se evidencia que las Ciencias Sociales están poco representadas en los contextos de colaboración analizados, y predomina la bibliometría como enfoque metodológico. Los estudios sobre prácticas de colaboración tienen menor presencia, y se concentran principalmente en análisis de experiencias y retos de cooperación desde las áreas de la salud para enfrentar la pandemia.

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Referencias

  1. K. Chen, Y. Zhang, y X. Fu, “International research collaboration: An emerging domain of innovation studies?”, Research Policy, vol. 48, n.º 1, pp. 149-168, 2019, doi: https://doi.org/10.1016/j.respol.2018.08.005
  2. L. Leydesdorff y C. S. Wagner, “International collaboration in science and the formation of a core group”, Journal of Informetrics, vol. 2, n.o 4, pp. 317-325, oct. 2008, doi: https://doi.org/10.1016/j.joi.2008.07.003
  3. C. S. Wagner, “Science in the Age of Knowledge Abundance”, en The Collaborative Era in Science, Cham: Springer International Publishing, 2018, pp. 1-17. doi: https://doi.org/10.1007/978-3-319-94986-4_1
  4. J. S. Katz y B. R. Martin, “What is research collaboration?”, Research Policy, vol. 26, n.o 1, pp. 1-18, 1997, doi: https://doi.org/10.1016/S0048-7333(96)00917-1
  5. A. Feld y P. Kreimer, “Latinoamericanos en proyectos europeos: asimetrías en la cooperación científica internacional”, CTyP, vol. 3, n.o 4, p. 035, 2020, doi: https://doi.org/10.24215/26183188e035
  6. M. Kleiche-Dray, D. Villavicencio (Coords.), Cooperación, colaboración científica y movilidad internacional en América Latina. Buenos Aires: CLACSO, 2014. [En línea]. Disponible en: http://biblioteca.clacso.edu.ar/clacso/posgrados/20141028014136/cooperacion.pdf
  7. M. Suárez Estrada, Nanotechnology, Governance, and Knowledge Networks in the Global South. Cham: Springer International Publishing, 2018. doi: https://doi.org/10.1007/978-3-319-69514-3
  8. G. Ordóñez‐Matamoros, M. Vernot‐López, O. Moreno‐Mattar, y L. A. Orozco, “Exploring the Effects of North–South and South–South Research Collaboration in Emerging Economies, the Colombian Case”, Rev Policy Res, vol. 37, n.o 2, pp. 174-200, 2020, doi: https://doi.org/10.1111/ropr.12378
  9. E. Romero-Riaño, C. D. Guerrero-Santander, H. E. Martínez-Ardila, “Agronomy research co-authorship networks in agricultural innovation systems,” Rev. UIS Ing., vol. 20, no. 1, pp. 161-176, 2021, doi: https://doi.org/10.18273/revuin.v20n1-2021015
  10. M. G. D’Onofrio y R. Barrere, M. Fernández Esquinas y D. De Filippo, “Motivaciones y dinámica de la cooperación científica bilateral entre Argentina y España: la perspectiva de los investigadores”, Revista Iberoamericana de Ciencia Tecnología y Sociedad, vol. 6, n.o 16, pp. 213-236, 2010.
  11. M. Hubert, A. Spivak, “Integrarse en redes de cooperación en nanociencias y nanotecnologías: El rol de los dispositivos instrumentales”, Redes, vol. 15, n.o 29, pp. 69-91, 2009.
  12. E. Robles-Belmont, “Las redes científicas como respuesta a la emergencia de las nanociencias y nanotecnologías”, Redes, 15(29), pp. 93-111, 2009.
  13. B. Bozeman, D. Fay, C. P. Slade, “Research collaboration in universities and academic entrepreneurship: the-state-of-the-art”, J Technol Transf, vol. 38, n.o 1, pp. 1-67, 2013, doi: https://doi.org/10.1007/s10961-012-9281-8
  14. B. Bozeman, M. Gaughan, J. Youtie, C. P. Slade, y H. Rimes, “Research collaboration experiences, good and bad: Dispatches from the front lines”, Science and Public Policy, vol. 43, n.o 2, pp. 226-244, abr. 2016, doi: https://doi.org/10.1093/scipol/scv035
  15. T. Luukkonen, O. Persson, y G. Sivertsen, “Understanding Patterns of International Scientific Collaboration”, Science, Technology, & Human Values, vol. 17, n.o 1, pp. 101-126, 1992, [En línea]. Disponible en: http://www.jstor.org/stable/689852
  16. M. A. Ynalvez y W. M. Shrum, “Professional networks, scientific collaboration, and publication productivity in resource-constrained research institutions in a developing country”, Research Policy, vol. 40, n.o 2, pp. 204-216, mar. 2011, doi: https://doi.org/10.1016/j.respol.2010.10.004
  17. C. H. Liao, “How to improve research quality? Examining the impacts of collaboration intensity and member diversity in collaboration networks”, Scientometrics, vol. 86, n.o 3, pp. 747-761, mar. 2011, doi: https://doi.org/10.1007/s11192-010-0309-2
  18. L.A. Orozco (2015). Diversidad y heterogeneidad en redes de colaboración científica: Un estudio de las escuelas de administración de América Latina. Bogotá: Universidad Externado de Colombia.
  19. B. Maher y R. Van Noorden, “The Challenges Facing Research Collaborations,” Nature, vol. 594, pp. 316-319, 2021.
  20. F. von Delft et al., “A white-knuckle ride of open COVID drug discovery”, Nature, vol. 594, n.o 7863, pp. 330-332, jun. 2021, doi: https://doi.org/10.1038/d41586-021-01571-1
  21. C. V. Fry, X. Cai, Y. Zhang, y C. S. Wagner, “Consolidation in a crisis: Patterns of international collaboration in early COVID-19 research”, PLoS ONE, vol. 15, n.o 7, p. e0236307, jul. 2020, doi: https://doi.org/10.1371/journal.pone.0236307
  22. M. Haghani y M. C. J. Bliemer, “Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature”, Scientometrics, vol. 125, n.o 3, pp. 2695-2726, dic. 2020, doi: https://doi.org/10.1007/s11192-020-03706-z
  23. L. Zhang, W. Zhao, B. Sun, Y. Huang, y W. Glänzel, “How scientific research reacts to international public health emergencies: a global analysis of response patterns”, Scientometrics, vol. 124, n.º 1, pp. 747-773, jul. 2020, doi: https://doi.org/10.1007/s11192-020-03531-4
  24. J. Homolak, I. Kodvanj, y D. Virag, “Preliminary analysis of COVID-19 academic information patterns: a call for open science in the times of closed borders”, Scientometrics, jun. 2020, doi: https://doi.org/10.1007/s11192-020-03587-2
  25. Y. Zhang, Xiaojing Cai, C. V. Fry, Mengjia Wu, y C. S. Wagner, “Topic Evolution, Disruption and Resilience in Early COVID-19 Research”, 2020, doi: https://doi.org/10.13140/RG.2.2.14365.95201
  26. M. Liu et al., “Can pandemics transform scientific novelty? Evidence from COVID-19”. https://doi.org/https://arxiv.org/abs/2009.12500
  27. C. Chen, “A Glimpse of the First Eight Months of the COVID-19 Literature on Microsoft Academic Graph: Themes, Citation Contexts, and Uncertainties”, Frontiers in Research Metrics and Analytics, vol. 5, p. 15, 2020.
  28. D. Duan y Q. Xia, “Evolution of scientific collaboration on COVID ‐19: A bibliometric analysis”, Learned Publishing, vol. 34, n.o 3, pp. 429-441, jul. 2021, doi: https://doi.org/10.1002/leap.1382
  29. O. Gregorio-Chaviano, C. H. Limaymanta, y E. K. López-Mesa, “Análisis bibliométrico de la producción científica latinoamericana sobre COVID-19”, biomedica, vol. 40, n.o Supl. 2, may 2020, doi: https://doi.org/10.7705/biomedica.5571
  30. L. Leydesdorff, I. Ràfols, y S. Milojević, “Bridging the divide between qualitative and quantitative science studies”, Quantitative Science Studies, vol. 1, n.o 3, pp. 918-926, sep. 2020, doi: https://doi.org/10.1162/qss_e_00061
  31. A.-W. Harzing y S. Alakangas, “Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison”, Scientometrics, vol. 106, n.o 2, pp. 787-804, feb. 2016, doi: https://doi.org/10.1007/s11192-015-1798-9
  32. P. Mongeon y A. Paul-Hus, “The journal coverage of Web of Science and Scopus: a comparative analysis”, Scientometrics, vol. 106, n.o 1, pp. 213-228, ene. 2016, doi: https://doi.org/10.1007/s11192-015-1765-5
  33. T. Bartol, G. Budimir, D. Dekleva-Smrekar, M. Pusnik, y P. Juznic, “Assessment of research fields in Scopus and Web of Science in the view of national research evaluation in Slovenia”, Scientometrics, vol. 98, n.o 2, pp. 1491-1504, feb. 2014, doi: https://doi.org/10.1007/s11192-013-1148-8
  34. S. P. Borgatti, M. G. Everett, y L. C. Freeman, “Ucinet 6 for Windows: Software for Social Network Analysis”. Harvard, MA: Analytic Technologies, 2002.
  35. S.P. Borgatti, “NetDraw Software for Network Visualization”. Harvard, MA: Analytic Technologies, 2002.
  36. S. Wasserman y K. Faust, Social Network Analysis: Methods and Applications, Cambridge, United Kingdom: Cambridge University Press., 1994.
  37. D. Resiere et al., “Covid-19 in the Caribbean: lessons learned from the ongoing international medical and scientific cooperation”, Global Health, vol. 17, n.o 1, p. 55, dic. 2021, doi: https://doi.org/10.1186/s12992-021-00706-3
  38. S. V. Gill, D. Shin, M. Ayoub, L. Keegan, P. C. Desrochers, y C. A. Helfrich, “Pivoting in Context: Using the Forging Alliances in Interdisciplinary Rehabilitation Research Model to Collaborate During COVID-19”, Am J Phys Med Rehabil, vol. 100, n.o 6, pp. 519-525, jun. 2021, doi: https://doi.org/10.1097/PHM.0000000000001749
  39. R. Kayano, S. Nomura, J. Abrahams, Q. Huda, E. Y. Y. Chan, y V. Murray, “Progress towards the Development of Research Agenda and the Launch of Knowledge Hub: The WHO Thematic Platform for Health Emergency and Disaster Risk Management Research Network”, IJERPH, vol. 18, n.o 9, p. 4959, may 2021, doi: https://doi.org/10.3390/ijerph18094959
  40. P. C. Robinson, J. Yazdany, y P. M. Machado, “Global research collaboration in a pandemic-challenges and opportunities: the COVID-19 Global Rheumatology Alliance”, Current Opinion in Rheumatology, vol. 33, n.o 2, pp. 111-116, mar. 2021, doi: https://doi.org/10.1097/BOR.0000000000000783
  41. B. X. Tran et al., “Studies of Novel Coronavirus Disease 19 (COVID-19) Pandemic: A Global Analysis of Literature”, IJERPH, vol. 17, n.o 11, p. 4095, jun. 2020, doi: https://doi.org/10.3390/ijerph17114095
  42. N. Liu et al., “Coronavirus disease 2019 (COVID-19): an evidence map of medical literature”, BMC Med Res Methodol, vol. 20, n.o 1, p. 177, dic. 2020, doi: https://doi.org/10.1186/s12874-020-01059-y
  43. Y. Chen, L. Cheng, R. Lian, Z. Song, y J. Tian, “COVID-19 vaccine research focusses on safety, efficacy, immunoinformatics, and vaccine production and delivery: a bibliometric analysis based on VOSviewer”, BioScience Trends., p. 10.
  44. D. Lee, Y. Heo, y K. Kim, “A Strategy for International Cooperation in the COVID-19 Pandemic Era: Focusing on National Scientific Funding Data”, Healthcare, vol. 8, n.o 3, p. 204, jul. 2020, doi: https://doi.org/10.3390/healthcare8030204
  45. Y. Wang y H. Zhao, “Digital data-based strategies: A novel form of better understanding COVID-19 pandemic and international scientific collaboration”, PLoS ONE, vol. 16, n.o 4, p. e0249280, abr. 2021, doi: https://doi.org/10.1371/journal.pone.0249280
  46. Y. Gao et al., “Research Collaboration and Outcome Measures of Interventional Clinical Trial Protocols for COVID-19 in China”, Front. Public Health, vol. 8, p. 554247, sep. 2020, doi: https://doi.org/10.3389/fpubh.2020.554247
  47. A. Norton, A. Bucher, E. Antonio et al. A living mapping review for COVID-19 funded research projects: six-month update [version 3; peer review: 2 approved]. Wellcome Open Res 2021, 5:209, pp. 1-30, doi: https://doi.org/10.12688/wellcomeopenres.16259.3
  48. J. J. Lee y J. P. Haupt, “Scientific globalism during a global crisis: research collaboration and open access publications on COVID-19”, High Educ, vol. 81, n.o 5, pp. 949-966, may 2021, doi: https://doi.org/10.1007/s10734-020-00589-0
  49. R. Zhao, Z. Liu, X. Zhang, J. Wang, y Z. Zhang, “Mapping World Scientific Collaboration on the Research of COVID-19: Authors, Journals, Institutions, and Countries”, Hawaii International Conference on System Sciences, 2021. doi: https://doi.org/10.24251/HICSS.2021.059
  50. J. Thavorn, C. Gowanit, V. Muangsin, y N. Muangsin, “Collaboration Network and Trends of Global Coronavirus Disease Research: A Scientometric Analysis”, IEEE Access, vol. 9, pp. 45001-45016, 2021, doi: https://doi.org/10.1109/ACCESS.2021.3066450
  51. M. Okhovati y H. Arshadi, “COVID-19 research progress: Bibliometrics and visualization analysis”, mjiri, abr. 2021, doi: https://doi.org/10.47176/mjiri.35.20
  52. J. J. Lee y J. P. Haupt, “Scientific Collaboration on COVID-19 Amidst Geopolitical Tensions between the US and China”, The Journal of Higher Education, vol. 92, n.o 2, pp. 303-329, feb. 2021, doi: https://doi.org/10.1080/00221546.2020.1827924
  53. D. Duan, Y. Chen, y Y. Zhang, “Who is contributing? Scientific collaborations on COVID-19”, Environ Plan A, vol. 52, n.o 8, pp. 1487-1489, nov. 2020, doi: https://doi.org/10.1177/0308518X20931105
  54. J. Wang y N. Hong, “The COVID-19 research landscape: Measuring topics and collaborations using scientific literature”, Medicine, vol. 99, n.o 43, p. e22849, oct. 2020, doi: https://doi.org/10.1097/MD.0000000000022849
  55. S. Belli, R. Mugnaini, J. Baltà, y E. Abadal, “Coronavirus mapping in scientific publications: When science advances rapidly and collectively, is access to this knowledge open to society?”, Scientometrics, vol. 124, n.o 3, pp. 2661-2685, 2020, doi: https://doi.org/10.1007/s11192-020-03590-7
  56. M. Wang, P. Liu, R. Zhang, Z. Li, y X. Li, “A Scientometric Analysis of Global Health Research”, IJERPH, vol. 17, n.o 8, p. 2963, abr. 2020, doi: https://doi.org/10.3390/ijerph17082963
  57. M. Surulinathi, R. Balasubramani, N. Amsaveni “COVID-19 research output in 2020: The Global Perspective using Scientometric Study”, Library Philosophy and Practice (e-journal). 4196, https://digitalcommons.unl.edu/libphilprac/4196
  58. R. Ortiz-Núñez, “Análisis métrico de la producción científica sobre COVID-19 en SCOPUS”, Revista Cubana de Información en Ciencias de la Salud. 2020; vol. 31, no (3): e1587.
  59. E. Sachini, K. Sioumalas-Christodoulou, C. Chrysomallidis, G. Siganos, N. Bouras, y N. Karampekios, “COVID-19 enabled co-authoring networks: a country-case analysis”, Scientometrics, vol. 126, n.o 6, pp. 5225-5244, jun. 2021, doi: https://doi.org/10.1007/s11192-021-03952-9
  60. H. Dong, Q. Wu, Y. Pang, y B. Wu, “A comparative analysis on risk communication between international and Chinese literature from the perspective of knowledge domain visualization”, Environ Health Prev Med, vol. 26, n.o 1, p. 60, dic. 2021, doi: https://doi.org/10.1186/s12199-021-00981-x
  61. J. Li et al., “A comparative study of international and Chinese public health emergency management from the perspective of knowledge domains mapping”, Environ Health Prev Med, vol. 25, n.o 1, p. 57, 2020, doi: https://doi.org/10.1186/s12199-020-00896-z
  62. I. E. Corrales-Reyes, F. Hernández-García, y C. R. Mejia, “COVID-19 and diabetes: Analysis of the scientific production indexed in Scopus”, Diabetes & Metabolic Syndrome: Clinical Research & Reviews, vol. 15, n.o 3, pp. 765-770, may 2021, doi: https://doi.org/10.1016/j.dsx.2021.03.002
  63. J. Jacimovic, A. Jakovljevic, V. Nagendrababu, H. F. Duncan, y P. M. H. Dummer, “A bibliometric analysis of the dental scientific literature on COVID-19”, Clin Oral Invest, abr. 2021, doi: https://doi.org/10.1007/s00784-021-03916-6
  64. R. O. Núñez, “Producción científica sobre COVID-19 y pediatría en Scopus”, Revista Cubana de Pediatría. 92(Supl. especial), e1269, 2020.
  65. A. Aristovnik, D. Ravšelj, y L. Umek, “A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape”, Sustainability, vol. 12, n.o 21, p. 9132, nov. 2020, doi: https://doi.org/10.3390/su12219132
  66. D. Resiere, D. Resiere, y H. Kallel, “Implementation of Medical and Scientific Cooperation in the Caribbean Using Blockchain Technology in Coronavirus (Covid-19) Pandemics”, J Med Syst, vol. 44, n.o 7, p. 123, jul. 2020, doi: https://doi.org/10.1007/s10916-020-01589-4
  67. D. H. Feng y A. Garg, “India and China Scientific Collaborations at Grass-Root Level: A New Era”, en Proceedings of the 1st Indo-China Research Series in Geotechnical and Geoenvironmental Engineering, vol. 123, A. Garg, C. H. Solanki, C. Bogireddy, y J. Liu, Eds. Singapore: Springer Singapore, 2021, pp. 175-194. doi: https://doi.org/10.1007/978-981-33-4324-5_12
  68. L. Dron, A. Dillman, M. J. Zoratti, J. Haggstrom, E. J. Mills, y J. J. H. Park, “Clinical Trial Data Sharing for COVID-19–Related Research”, J Med Internet Res, vol. 23, n.o 3, p. e26718, mar. 2021, doi: https://doi.org/10.2196/26718
  69. M. Goutaki et al., “The BEAT-PCD (Better Experimental Approaches to Treat Primary Ciliary Dyskinesia) Clinical Research Collaboration”, Eur Respir J, vol. 57, n.o 2, p. 2004601, feb. 2021, doi: https://doi.org/10.1183/13993003.04601-2020
  70. G. Cantelli et al., “The European Bioinformatics Institute: empowering cooperation in response to a global health crisis”, Nucleic Acids Research, vol. 49, n.o D1, pp. D29-D37, ene. 2021, doi: https://doi.org/10.1093/nar/gkaa1077
  71. J. W. Liew et al., “The COVID-19 Global Rheumatology Alliance: evaluating the rapid design and implementation of an international registry against best practice”, Rheumatology, vol. 60, n.o 1, pp. 353-358, ene. 2021, doi: https://doi.org/10.1093/rheumatology/keaa483
  72. P. Veepanattu et al., “Building resilient and responsive research collaborations to tackle antimicrobial resistance—Lessons learnt from India, South Africa, and UK”, International Journal of Infectious Diseases, vol. 100, pp. 278-282, nov. 2020, doi: https://doi.org/10.1016/j.ijid.2020.08.057
  73. J. B. Nachega et al., “Effect of SARS-CoV-2 Infection in Pregnancy on Maternal and Neonatal Outcomes in Africa: An AFREhealth Call for Evidence through Multicountry Research Collaboration”, The American Journal of Tropical Medicine and Hygiene, dic. 2020, doi: https://doi.org/10.4269/ajtmh.20-1553
  74. R. W. Peeling, D. Boeras, A. Wilder-Smith, A. Sall, y J. Nkengasong, “Need for sustainable biobanking networks for COVID-19 and other diseases of epidemic potential”, The Lancet Infectious Diseases, vol. 20, n.o 10, pp. e268-e273, oct. 2020, doi: https://doi.org/10.1016/S1473-3099(20)30461-8
  75. A. Thorogood, “Policy-aware data lakes: a flexible approach to achieve legal interoperability for global research collaborations”, Journal of Law and the Biosciences, vol. 7, n.o 1, p. lsaa065, jul. 2020, doi: https://doi.org/10.1093/jlb/lsaa065
  76. A. Norton et al., “Preparing for a pandemic: highlighting themes for research funding and practice—perspectives from the Global Research Collaboration for Infectious Disease Preparedness (GloPID-R)”, BMC Med, vol. 18, n.o 1, p. 273, dic. 2020, doi: https://doi.org/10.1186/s12916-020-01755-y
  77. N. Rehill, A. Begley, K. Mantell, y C. M. Roberts, “Clinical academic leadership in COVID-19: a rapid response to sharing emerging insights in intensive care”, leader, vol. 4, n.o 4, pp. 228-230, dic. 2020, doi: https://doi.org/10.1136/leader-2020-000292
  78. D. Rempel, “Scientific Collaboration During the COVID-19 Pandemic: N95DECON.org”, Annals of Work Exposures and Health, vol. 64, n.o 8, pp. 775-777, oct. 2020, doi: https://doi.org/10.1093/annweh/wxaa057
  79. H. Slomp Junior, K. S. C. Coelho, D. M. Barros, T. B. Franco, y K. T. da Cruz, “Haciendo, planeando, “planhaciendo”: una experiencia de pragmatismo municipal en la pandemia del Covid-19 en cooperación con la universidad”, SC, vol. 17, p. e3341, may 2021, doi: https://doi.org/10.18294/sc.2021.3341
  80. A. Wild et al., “Communicating COVID-19 health information to culturally and linguistically diverse communities: insights from a participatory research collaboration”, Public Health Res Pract, vol. 31, n.o 1, 2021, doi: https://doi.org/10.17061/phrp3112105
  81. B. Yao, “International Research Collaboration: Challenges and Opportunities”, Journal of Diagnostic Medical Sonography, vol. 37, n.o 2, pp. 107-108, mar. 2021, doi: https://doi.org/10.1177/8756479320976130
  82. “Scientific Collaboration and Communication in the Time of COVID-19: A Chat with Christine Mummery”, Cell Stem Cell, vol. 27, n.o 6, pp. 856-858, 2020, doi: https://doi.org/10.1016/j.stem.2020.11.007
  83. “Early Action, Applied Research & Collaboration to Combat COVID-19: María Guadalupe Guzmán MD PhD DSc Director, Reference Center for Research & Diagnosis, Pedro Kourí Tropical Medicine Institute, Havana”, MEDICC Review, vol. 22, n.o 4, 2020, doi: https://doi.org/10.37757/MR2020.V22.N4.4
  84. J. Guimón y R. Narula, “Ending the COVID-19 Pandemic Requires More International Collaboration”, Research-Technology Management, vol. 63, n.o 5, pp. 38-41, sep. 2020, doi: https://doi.org/10.1080/08956308.2020.1790239
  85. N. Ellemers, “Science as collaborative knowledge generation”, Br. J. Soc. Psychol., vol. 60, n.o 1, pp. 1-28, ene. 2021, doi: https://doi.org/10.1111/bjso.12430
  86. T. Barrientos-Gutiérrez, C. Alpuche-Aranda, E. Lazcano-Ponce, C. Pérez-Ferrer, y J. Rivera-Dommarco, “La salud pública en la primera ola: una agenda para la cooperación ante Covid-19”, Salud Publica Mex, vol. 62, n.o 5, sep-oct, pp. 598-606, ago. 2020, doi: https://doi.org/10.21149/11606
  87. P. Hunter, “The growth of social media in science: Social media has evolved from a mere communication channel to an integral tool for discussion and research collaboration”, EMBO Rep, vol. 21, n.o 5, may 2020, doi: https://doi.org/10.15252/embr.202050550
  88. A. S. Metcalfe y G. L. Blanco, ““Love is calling”: Academic friendship and international research collaboration amid a global pandemic”, Emotion, Space and Society, vol. 38, p. 100763, feb. 2021, doi: https://doi.org/10.1016/j.emospa.2021.100763
  89. S. Knudson, K. Bird-Naytowhow, y T. Baldhead Pearl, “Finding our ‘good way’: critical reflections on researching disability, connection, and community from an Indigenous perspective”, Reflective Practice, vol. 22, n.o 3, pp. 306-318, may 2021, doi: https://doi.org/10.1080/14623943.2021.1878124
  90. N. Kanakaris, N. Giarelis, I. Siachos, y N. Karacapilidis, “Shall I Work with Them? A Knowledge Graph-Based Approach for Predicting Future Research Collaborations”, Entropy, vol. 23, n.o 6, p. 664, may 2021, doi: https://doi.org/10.3390/e23060664
  91. N. Giarelis, N. Kanakaris, y N. Karacapilidis, “On the Utilization of Structural and Textual Information of a Scientific Knowledge Graph to Discover Future Research Collaborations: A Link Prediction Perspective”, en Discovery Science, vol. 12323, A. Appice, G. Tsoumakas, Y. Manolopoulos, y S. Matwin, Eds. Cham: Springer International Publishing, 2020, pp. 437-450. doi: https://doi.org/10.1007/978-3-030-61527-7_29
  92. D. Floros, T. Liu, N. Pitsianis, y X. Sun, “Using Graphlet Spectrograms for Temporal Pattern Analysis of Virus-Research Collaboration Networks”, arXiv:2009.00477 [physics], sep. 2020. [En línea]. Disponible en: http://arxiv.org/abs/2009.00477
  93. Z. Dang, L. Li, H. Peng, y J. Zhang, “Impact of Sudden Global Events on Cross-Field Research Cooperation”, Information, vol. 12, n.o 1, p. 26, 2021, doi: https://doi.org/10.3390/info12010026
  94. J. Yang, J. Zhang, y D. Zeng, “Scientific collaboration networks and firm innovation: the contingent impact of a dynamic environment”, Management Decision, vol. ahead-of-print, n.o ahead-of-print, 2021, doi: https://doi.org/10.1108/MD-08-2020-1050
  95. D. Essers, F. Grigoli, E. Pugacheva, “Network effects and research collaborations: evidence from IMF Working Paper co-authorship”, Scientometrics, 2022, doi: https://doi.org/10.1007/s11192-022-04335-4