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Science in Mexico: a bibliometric analysis

Author

Listed:
  • Bárbara S. Lancho-Barrantes

    (Tecnologico de Monterrey)

  • Francisco J. Cantú-Ortiz

    (Tecnologico de Monterrey)

Abstract

We can find several studies analyzing the scientific production of Latin American countries, such as Argentina, Brazil, Colombia, Cuba, Guatemala, Peru, Venezuela etc throughout the scientific literature. There are many papers focusing on scientific disciplines, institutions and journals from these countries. However, to the best of our knowledge, we have not found any article that analyzes the scientific production of Mexico, global or recent and with Scopus as a specific database, nor the production in collaboration with its strategic countries in science and technology. For this reason, the present work intends to give Mexico the prominence it deserves by studying its productivity in research by using a bibliometric approach. To perform this study, the international bibliographic database Scopus was used within a ten year publication window from 2007 to 2016. With this sample, we analyzed the production in general, the scientific production in scientific disciplines, and production in collaboration with its strategic countries in science and technology, without forgetting the variables of the citations received from Scival as a parameter of impact on research. This study aims to serve as a precedent for later studies and contribute as a reference of Mexican production to the scientific community and as a tool to elaboration of national public policy in science and technology.

Suggested Citation

  • Bárbara S. Lancho-Barrantes & Francisco J. Cantú-Ortiz, 2019. "Science in Mexico: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 499-517, February.
    • Handle: RePEc:spr:scient:v:118:y:2019:i:2:d:10.1007_s11192-018-2985-2
    DOI: 10.1007/s11192-018-2985-2
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    References listed on IDEAS

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    2. Sein León-Silva & Fabián Fernández-Luqueño & Edgar Záyago-Lau & Fernando López-Valdez, 2020. "Silver nanoparticles, research and development in Mexico: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 31-49, April.
    3. Fabio Lorensi Canto & Adilson Luiz Pinto & Edson Mário Gavron & Marcos Talau, 2022. "Latin American and Caribbean journals indexed in Google Scholar Metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 763-783, February.
    4. J. Antonio Río & J. M. Russell & Daniela Juárez, 2020. "Applied physics in Mexico: mining the past to predict the future," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 187-212, October.
    5. Xochitl Flores-Vargas & Claudia Noemí González-Brambila & Miguel Ángel Pérez-Angón, 2023. "Geographical characterization of the scientific performance in Mexico (1995–2015)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1785-1799, March.
    6. Mehmet Pinar, 2023. "Do research performances of universities and disciplines in England converge or diverge? An assessment of the progress between research excellence frameworks in 2014 and 2021," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5731-5766, October.
    7. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann, 2022. "Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5879-5930, October.
    8. Cesar H. Limaymanta & Rosalía Quiroz-de-García & Jesús A. Rivas-Villena & Andrea Rojas-Arroyo & Orlando Gregorio-Chaviano, 2022. "Relationship between collaboration and normalized scientific impact in South American public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6391-6411, November.
    9. Sandro Tarkhan-Mouravi, 2020. "Traditional indicators inflate some countries’ scientific impact over 10 times," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 337-356, April.
    10. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.
    11. Daniela Aguirre-Guerrero & Roberto Bernal-Jaquez, 2023. "A Methodology for the Analysis of Collaboration Networks with Higher-Order Interactions," Mathematics, MDPI, vol. 11(10), pages 1-17, May.

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