The vital role of scientometrics in modern research

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Publicado: may. 31, 2024
DOI: https://doi.org/10.21676/23897848.6020

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Sebastian Robledo-Giraldo
National university of Colombia
https://orcid.org/0000-0003-4357-4402

Resumen

The study of scientometrics has increasingly become vital in mapping the trajectory of scientific progress and understanding the dynamics of academic research (Rivera et al., 2024). Scientometrics, the quantitative study of science, technology, and innovation, plays a crucial role in comprehending the development and dissemination of scientific knowledge (Xu et al., 2024). By analyzing publication patterns, citation networks, and research trends, scientometric studies provide essential insights into the dynamics of scientific progress and the impact of research on society (Cortés, 2023). This special issue of Clío América is dedicated to presenting a series of scientometric reviews that shed light on various aspects, including agricultural and environmental sustainability, organic coffee production, avocado cultivation, entrepreneurship, inclusive marketing, dynamic capabilities, e-leadership, and sustainable tourism. Despite its importance, scientometric research faces several challenges. Data accessibility and quality are often limited, making comprehensive analyses difficult (Chi & Glänzel, 2024; Cortés, 2023). The complexity of integrating data from multiple sources, such as Scopus and Web of Science, poses additional hurdles (Lin, Y et al., 2023). Moreover, the rapid growth of scientific literature necessitates advanced tools and methodologies to effectively analyze and interpret vast amounts of information (Bornmann & Lepori, 2024; Sourati & Evans, 2023).

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Robledo-Giraldo, S. (2024). The vital role of scientometrics in modern research. Clío América, 18(35), 1–3. https://doi.org/10.21676/23897848.6020
Número
Vol. 18 Núm. 35 (2024): enero - junio 2024 Volumen Temático - Artículos Cienciométricos. Editor Invitado - PhD. Sebastián Robledo Giraldo
Sección
Editorial
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.

Esta revista proporciona un acceso abierto a su contenido, basado en el principio de ofrecer al público un acceso libre a las investigaciones ayuda a un mayor intercambio global del conocimiento. De igual forma su versión impresa es de libre acceso y no tiene costos asociados por publicación.

Biografía del autor/a

Sebastian Robledo-Giraldo, National university of Colombia

PhD.

Citas

Bornmann, L. & Lepori, B. (2024). The use of ChatGPT to find similar institutions for institutional benchmarking. Scientometrics. https://doi.org/10.1007/s11192-024-05039-7

Chi, P.-S. & Glänzel, W. (2024). Two sides of the same coin? Citation obsolescence and impact of different publication types and subject fields. Scientometrics. https://doi.org/10.1007/s11192-023-04926-9

Cortés, J. D. (2023). Industry-research fronts – Private sector collaboration with research institutions in Latin America and the Caribbean. Journal of Information Science and Engineering, 016555152211317. https://doi.org/10.1177/01655515221131796

Lin, Y., Frey, C. B. & Wu, L. (2023). Remote collaboration fuses fewer breakthrough ideas. Nature, 623(7989), 987–991. https://doi.org/10.1038/s41586-023-06767-1

Lin, Z., Yin, Y., Liu, L. & Wang, D. (2023). SciSciNet: A large-scale open data lake for the science of science research. Scientific Data, 10(1), 315. https://doi.org/10.1038/s41597-023-02198-9

Rivera, R. G., Orellana Fantoni, C., Gálvez, E., Jimenez-Pazmino, P., Vaca Ruiz, C. K. & Fitz Herbert, A. (2024). Using scientometrics to mapping Latin American research networks in emerging fields: the field networking index. Scientometrics, 129(4), 2309–2335. https://doi.org/10.1007/s11192-024-04970-z

Sourati, J. & Evans, J. A. (2023). Accelerating science with human-aware artificial intelligence. Nature Human Behaviour, 7(10), 1682–1696. https://doi.org/10.1038/s41562-023-01648-z

Xu, H., Liu, M., Bu, Y., Sun, S., Zhang, Y., Zhang, C., Acuna, D. E., Gray, S., Meyer, E. & Ding, Y. (2024). The impact of heterogeneous shared leadership in scientific teams. Information Processing & Management, 61(1), 103542. https://doi.org/10.1016/j.ipm.2023.103542