Mapping, evolution, and application trends in co-citation analysis: a scientometric approach
DOI:
https://doi.org/10.19053/20278306.v13.n1.2023.16070Palabras clave:
cienciometría;, co-citaciones;, documento;, autorResumen
Este estudio tiene como objetivo explorar el mapeo, la evolución y las tendencias de aplicación del análisis de citas conjuntas. Se realizó una búsqueda utilizando Scopus y Web of Science, lo que resultó en 1298 estudios relevantes. Se realizó un análisis adicional sobre la producción científica, el país, el autor, la revista y los datos de la red. Se aplicó el algoritmo Tree of Science para demostrar el desarrollo del análisis de cocitación. Los resultados hacen tres contribuciones significativas a la investigación cienciométrica: se presenta un mapeo científico destacando la producción científica, las principales revistas y los investigadores clave; los avances del análisis de cocitación se presentan a través de la metáfora del Árbol de la Ciencia; también se identifican los tres subtemas principales dentro del análisis de citas conjuntas a través del análisis de citas. Estos hallazgos ayudarán a los investigadores y bibliotecarios a reconocer las contribuciones y aplicaciones cruciales del análisis de citas conjuntas.
Descargas
Referencias
Grisales-Aguirre, A. M., Robledo, S., & Zuluaga, M. (2023). Topic Modeling: Perspectives From a Literature Review. IEEE Access, 11, 4066–4078. https://doi.org/10.1109/ACCESS.2022.3232939
Araújo, P. C., & Bufrem, L. S. (2021). The intellectual foundation of the elite of Brazilian researchers on knowledge organization domain. Transinformação, 33. https://doi.org/10.1590/2318-0889202133e200068
Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11 (4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
Barrera-Rubaceti, N. A., Robledo-Giraldo, S., & Zarela-Sepulveda, M. (2021). Una revisión bibliográfica del Fintech y sus principales subáreas de estudio. Económicas CUC, 43 (1), 83–100. https://doi.org/10.17981/econcuc.43.1.2022.econ.4
Blaizot, A., Veettil, S. K., Saidoung, P., Moreno-Garcia, C. F., Wiratunga, N., Aceves-Martins, M., Lai, N. M., & Chaiyakunapruk, N. (2022). Using artificial intelligence methods for systematic review in health sciences: A systematic review. Research Synthesis Methods, 13 (3), 353–362. https://doi.org/10.1002/jrsm.1553
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008 (10), P10008. https://doi.org/10.1088/1742-5468/2008/10/p10008
Boiko, K. (2021). R&D activity and firm performance: mapping the field. Management Review Quarterly, 1–37. https://doi.org/10.1007/s11301-021-00220-1
Boyack, K. W., & Klavans, R. (2010). Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? Journal of the American Society for Information Science and Technology, 61 (12), 2389–2404. https://doi.org/10.1002/asi.21419
Bu, Y., Wang, B., Chinchilla-Rodríguez, Z., Sugimoto, C. R., Huang, Y., & Huang, W.-B. (2020). Considering author sequence in all-author co-citation analysis. Information Processing & Management, 57 (6), 102300. https://doi.org/10.1016/j.ipm.2020.102300
Cardona-Arbeláez, D. A., Del Río-Cortina, J. L., Romero-Severiche, A. K., & Lora-Guzmán, H. (2019). La curva de aprendizaje y su contribución al desempeño del talento humano en las organizaciones: una revisión teórica. Revista de Investigación, Desarrollo e Innovación, 10 (1), 37–51. https://doi.org/10.19053/20278306.v10.n1.2019.10010
Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57 (3), 359–377. https://doi.org/10.1002/asi.20317
Chen, C., Ibekwe-SanJuan, F., & Hou, J. (2010). The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis. Journal of the American Society for Information Science and Technology, 61 (7), 1386–1409. https://doi.org/10.1002/asi.21309
Clavijo-Tapia, F. J., Duque-Hurtado, P. L., Arias-Cerquera, G., & Alejandra, Tolosa-Castañeda Maria. (2021). Organizational communication: a bibliometric analysis from 2005 to 2020. Clío América, 15 (29), 621–640. https://doi.org/10.21676/23897848.4311
Diez, D., Díaz-Ospina, J., Robledo, S., & Rodríguez-Córdoba, M. del P. (2022). Tendencias teóricas y desafíos en la comunicación de la responsabilidad social corporativa. Anagramas -
Rumbos Y Sentidos de La Comunicación, 20 (40), 146–176. https://dialnet.unirioja.es/servlet/articulo?codigo=8419182
Duque, P., Meza, O. E., Giraldo, D., & Barreto, K. (2021). Economía Social y Economía Solidaria: un análisis bibliométrico y revisión de literatura. REVESCO. Revista de Estudios Cooperativos, 138, e75566. https://doi.org/10.5209/reve.75566
Durán-Aranguren, D. D., Robledo, S., Gomez-Restrepo, E., Arboleda-Valencia, J. W., & Tarazona, N. A. (2021). Scientometric Overview of Coffee By-Products and Their Applications. Molecules, 26 (24), 7605. https://doi.org/10.3390/molecules26247605
Eggers, F., Risselada, H., Niemand, T., & Robledo, S. (2022). Referral campaigns for software startups: The impact of network characteristics on product adoption. Journal of Business Research, 145, 309–324. https://doi.org/10.1016/j.jbusres.2022.03.007
Fire, M., & Guestrin, C. (2019). Over-optimization of academic publishing metrics: observing Goodhart’s Law in action. GigaScience, 8 (6). https://doi.org/10.1093/gigascience/giz053
Ghane, R., Alizade-Zowj, H., & Ehsanifar, F. (2019). Identifying Information Retrieval Research Trends Using Author Co-Citation Network. International Journal of Information Science and Management, 17 (2), 99–117. https://ssrn.com/abstract=3674027
Gmür, M. (2003). Co-citation analysis and the search for invisible colleges: A methodological evaluation. Scientometrics, 57 (1), 27–57. https://doi.org/10.1023/A:1023619503005
Gómez-Tabares, A. S. (2021). Perspectivas de estudio sobre el comportamiento suicida en niños y adolescentes: Una revisión sistemática de la literatura utilizando la teoría de grafos. Psicología Desde El Caribe, 38 (3), 408–451. https://doi.org/10.14482/psdc.38.3.362.28
González-Valiente, C. L., León-Santos, M., Arencibia-Jorge, R., Noyons, E., & Costas, R. (2021). Mapping the Evolution of Intellectual Structure in Information Management Using Author Co-citation Analysis. Mobile Networks and Applications, 26 (6), 2374–2388. https://doi.org/10.1007/s11036-019-01231-9
Hadj-Taieb, M. A., Ben-Aouicha, M., & Turki, H. (2021). Paper co-citation analysis using semantic similarity measures. In A. Abraham, P. and Siarry, K. Ma., & A. Kaklauskas (Eds.), Advances in Intelligent Systems and Computing, 264–277. Springer International Publishing. https://doi.org/10.1007/978-3-030-49342-4_26
He, Y., & Cheung Hui, S. (2002). Mining a Web Citation Database for author co-citation analysis. Information Processing & Management, 38 (4), 491–508. https://doi.org/10.1016/S0306-4573(01)00046-2
Hurtado-Marín, V. A., Agudelo-Giraldo, J. D., Robledo, S., & Restrepo-Parra, E. (2021). Analysis of dynamic networks based on the Ising model for the case of study of co-authorship of scientific articles. Scientific Reports, 11 (1), 5721. https://doi.org/10.1038/s41598-021-85041-8
Jeong, Y. K., Song, M., & Ding, Y. (2014). Content-based author co-citation analysis. Journal of Informetrics, 8 (1), 197–211. https://doi.org/10.1016/j.joi.2013.12.001
Karaulova, M., Nedeva, M., & Thomas, D. A. (2020). Mapping research fields using co-nomination: the case of hyper-authorship heavy flavour physics. Scientometrics, 124 (3), 2229–2249. https://doi.org/10.1007/s11192-020-03538-x
Köseoglu, M. A. (2020). Identifying the intellectual structure of fields: introduction of the MAK approach. Scientometrics, 125 (3), 2169–2197. https://doi.org/10.1007/s11192-020-03719-8
Li, P., Yang, G., & Wang, C. (2019). Visual topical analysis of library and information science. Scientometrics, 121 (3), 1753–1791. https://doi.org/10.1007/s11192-019-03239-0
Lo, K., Wang, L. L., Neumann, M., Kinney, R., & Weld, D. (2020). S2ORC: The semantic scholar open research corpus. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Online. https://doi.org/10.18653/v1/2020.acl-main.447
López-Rubio, P., Roig-Tierno, N., & Mas-Verdú, F. (2021). Assessing the Origins, Evolution and Prospects of National Innovation Systems. Journal of the Knowledge Economy, 13 (1), 161–184. https://doi.org/10.1007/s13132-020-00712-7
Macías-Quiroga, I. F., Henao-Aguirre, P. A., Marín-Flórez, A., Arredondo-López, S. M., & Sanabria-González, N. R. (2021). Bibliometric analysis of advanced oxidation processes (AOPs) in wastewater treatment: global and Ibero-American research trends. Environmental Science and Pollution Research International, 28 (19), 23791–23811. https://doi.org/10.1007/s11356-020-11333-7
Macías-Rojas, M., Caro, E. O., & Fernández-Morales, F. H. (2022). Las mediaciones TIC en la resolución de problemas matemáticos, un abordaje documental. Gestión y Desarrollo Libre, 7 (14).
Ramos-Enríquez, V., Duque, P., & Salazar, J. A. V. (2021). Responsabilidad Social Corporativa y Emprendimiento: evolución y tendencias de investigación. Desarrollo Gerencial, 13 (1), 1–34. https://doi.org/10.17081/dege.13.1.4210
Robledo, S., Duque, P., & Grisale-Aguirre, A. M. (2023). Word of Mouth Marketing: A Scientometric Analysis. Journal of Scientometric Research, 11 (3), 436–446. https://doi.org/10.5530/jscires.11.3.47
Robledo, S., Eider, V. J., Darío, D.-M. N., & Duque-Uribe, V. (2022). Networking as an entrepreneurial marketing tool: the link between effectuation and word of mouth. Journal of Research in Marketing and Entrepreneurship, ahead-of-print. https://doi.org/10.1108/JRME-08-2020-0112
Robledo, S., Grisales-Aguirre, A. M., Hughes, M., & Eggers, F. (2021). “Hasta la vista, baby” – will machine learning terminate human literature reviews in entrepreneurship? Journal of Small Business Management, 1–30. https://doi.org/10.1080/00472778.2021.1955125
Robledo, S., Zuluaga, M., Valencia, L. A., Arbelaez-Echeverri, O., Duque, P., & Alzate-Cardona, J.-D. (2022). Tree of Science with Scopus: A Shiny Application. Issues in Science and Technology Librarianship, 100. https://doi.org/10.29173/istl2698
Rousseau, R., & Zuccala, A. (2004). A classification of author co-citations: Definitions and search strategies. Journal of the American Society for Information Science and Technology, 55 (6), 513–529. https://doi.org/10.1002/asi.10401
Sanguri, K., Bhuyan, A., & Patra, S. (2020). A semantic similarity adjusted document co-citation analysis: a case of tourism supply chain. Scientometrics, 125 (1), 233–269. https://doi.org/10.1007/s11192-020-03608-0
Schneider, J. W., Larsen, B., & Ingwersen, P. (2009). A comparative study of first and all-author co-citation counting, and two different matrix generation approaches applied for author co-citation analyses. Scientometrics, 80 (1), 103–130. https://doi.org/10.1007/s11192-007-2019-y
Sepúlveda-López, J. J., Ramírez-Castañeda, L. A., Bautista-Sáenz, D. P., Marín-Florez, A., & Arredondo-López, S. M. (2021). Revisión de literatura sobre modelamiento y simulación de fenómenos sociotecnológicos mediante minería de datos en bases de datos académicas. Revista Interamericana de Bibliotecología, 44 (2), e339215. https://doi.org/10.17533/udea.rib.v44n2e339215
Simao, L. B., Carvalho, L. C., & Madeira, M. J. (2021). Intellectual structure of management innovation: bibliometric analysis. Management Review Quarterly, 71 (3), 651–677. https://doi.org/10.1007/s11301-020-00196-4
Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science. American Society for Information Science, 24 (4), 265–269. https://doi.org/10.1002/asi.4630240406
Sud, A., Cheng, D. K., Moineddin, R., Zlahtic, E., & Upshur, R. (2021). Time series-based bibliometric analysis of a systematic review of multidisciplinary care for opioid dose reduction: exploring the origins of the North American opioid crisis. Scientometrics, 126 (11), 8935–8955. https://doi.org/10.1007/s11192-021-04154-z
Sun, L., Wu, L., & Qi, P. (2020). Global characteristics and trends of research on industrial structure and carbon emissions: a bibliometric analysis. Environmental Science and Pollution Research International, 27 (36), 44892–44905. https://doi.org/10.1007/s11356-020-10915-9
Trejos-Salazar, D. F., Duque-Hurtado, P. L., Montoya-Restrepo, L. A., & Montoya-Restrepo, I. A. (2021). Neuroeconomía: una revisión basada en técnicas de mapeo científico. Revista de Investigación, Desarrollo e Innovación, 11 (2), 243–260. https://doi.org/10.19053/20278306.v11.n2.2021.12754
Valencia-Hernandez, D. S., Robledo, S., Pinilla, R., Duque-Méndez, N. D., & Olivar-Tost, G. (2020). SAP algorithm for citation analysis: An improvement to tree of Science. Ingeniería E Investigación, 40 (1), 45–49. https://doi.org/10.15446/ing.investig.v40n1.77718
Van-Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023). ChatGPT: five priorities for research. Nature, 614 (7947), 224–226. https://doi.org/10.1038/d41586-023-00288-7
Van-Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84 (2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
Vargas-Zapata, M., Medina-Sierra, M., Galeano-Vasco, L. F., & Cerón-Muñoz, M. F. (2022). Algoritmos de aprendizaje de máquina para la predicción de propiedades fisicoquímicas del suelo mediante información espectral: una revisión sistemática. Revista de Investigación, Desarrollo e Innovación, 12 (1), 107–120. https://doi.org/10.19053/20278306.v12.n1.2022.14206
White, H. D., & Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32 (3), 163–171. https://doi.org/10.1002/asi.4630320302
Zhao, D. (2006). Towards all-author co-citation analysis. Information Processing & Management, 42 (6), 1578–1591. https://doi.org/10.1016/j.ipm.2006.03.022
Zhao, D., & Strotmann, A. (2008). Comparing all-author and first-author co-citation analyses of information science. Journal of Informetrics, 2 (3), 229–239. https://doi.org/10.1016/j.joi.2008.05.004
Zhao, D., & Strotmann, A. (2020). Telescopic and panoramic views of library and information science research 2011–2018: a comparison of four weighting schemes for author co-citation analysis. Scientometrics, 124 (1), 255–270. https://doi.org/10.1007/s11192-020-03462-0
Zheng, J., Zhou, R., Meng, B., Li, F., Liu, H., & Wu, X. (2021). Knowledge framework and emerging trends in intracranial aneurysm magnetic resonance angiography: a scientometric analysis from 2004 to 2020. Quantitative Imaging in Medicine and Surgery, 11 (5), 1854–1869. https://doi.org/10.21037/qims-20-729
Zuluaga, M., Robledo, G., Osorio-Zuluaga, G. A., Yathe, L., Gonzalez, D., & Taborda, G. (2016). Metabolomics and pesticides: systematic literature review using graph theory for analysis of references. Nova, 14 (25), 121–138. https://doi.org/10.22490/24629448.1735
Zuluaga, M., Robledo, S., Arbelaez-Echeverri, O., Osorio-Zuluaga, G. A., & Duque-Méndez, N. (2022). Tree of Science - ToS: A Web-based Tool for Scientific Literature Recommendation. Search Less, Research More! Issues in Science and Technology Librarianship, 100. https://doi.org/10.29173/istl2696
Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18 (3), 429–472. https://doi.org/10.1177/1094428114562629
Descargas
Publicado
-
Resumen117
-
PDF 171
Cómo citar
Número
Sección
Licencia
Los artículos aquí publicados están protegidos bajo una licencia Licencia Creative Commons Atribución 4.0 Internacional. El contenido de los artículos es responsabilidad de cada autor y no compromete, de ninguna manera, a la revista o a la institución. Se permite la divulgación y reproducción de títulos, resúmenes y contenido total, con fines académicos, científicos, culturales y/o comerciales, siempre y cuando se cite la respectiva fuente.