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Characteristics of the top-cited papers in species distribution predictive models

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  • Barbosa, Fabiana G.
  • Schneck, Fabiana

Abstract

In this study, we analyzed the characteristics of the most cited papers regarding species distribution predictive models (SDPMs). We found 173 papers on SDPMs that received at least 100 citations until 2013, according to the Thomson Reuters Web of Science database. These papers were published between 1991 and 2012, with the majority published between 2002 and 2012, indicating the rapid development of this field of research. The papers were published mainly in journals listed in the ecology category on the Web of Science. Almost half of the top-cited papers were methodological, introducing novel modeling methods and software. Applied papers on species conservation and biodiversity management, climate change, phylogeography, and biosecurity also figured out among the top-cited papers. Researchers from 174 institutions in 27 countries, with 51% of the papers being internationally collaborative and 69% inter-institutionally collaborative, published the papers. Among all 173 papers, seven papers stood out as having a great impact on the field, receiving more than 1000 citations each. Finally, the results found by analyzing the top-cited SDPMs papers support the view of a growing interest and rapid development of this research field over the past two decades. The top-cited papers primarily focused on the development and evaluation of novel methods to improve the performance of the models, and thus, to better predict the environmental suitability for species in applied studies.

Suggested Citation

  • Barbosa, Fabiana G. & Schneck, Fabiana, 2015. "Characteristics of the top-cited papers in species distribution predictive models," Ecological Modelling, Elsevier, vol. 313(C), pages 77-83.
    • Handle: RePEc:eee:ecomod:v:313:y:2015:i:c:p:77-83
    DOI: 10.1016/j.ecolmodel.2015.06.014
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    Cited by:

    1. Rodrigues, Lucas dos Santos & Daudt, Nicholas Winterle & Cardoso, Luis Gustavo & Kinas, Paul Gerhard & Conesa, David & Pennino, Maria Grazia, 2023. "Species distribution modelling in the Southwestern Atlantic Ocean: A systematic review and trends," Ecological Modelling, Elsevier, vol. 486(C).
    2. Xinmin Zhang & Ronald C Estoque & Hualin Xie & Yuji Murayama & Manjula Ranagalage, 2019. "Bibliometric analysis of highly cited articles on ecosystem services," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-16, February.
    3. Quan-Hoang Vuong & Huyen Thanh T. Nguyen & Thanh-Hang Pham & Manh-Toan Ho & Minh-Hoang Nguyen, 2021. "Assessing the ideological homogeneity in entrepreneurial finance research by highly cited publications," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    4. Nguyen, Minh-Hoang & Pham, Thanh-Hang & Huyen, Nguyen Thanh Thanh & Ho, Manh-Toan & Vuong, Quan-Hoang, 2020. "Western ideological homogeneity in entrepreneurial finance research: Evidence from highly cited publications," OSF Preprints sk3e6, Center for Open Science.
    5. Youssef Elomari & Masoud Norouzi & Marc Marín-Genescà & Alberto Fernández & Dieter Boer, 2022. "Integration of Solar Photovoltaic Systems into Power Networks: A Scientific Evolution Analysis," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    6. Citores, L. & Ibaibarriaga, L. & Lee, D.-J. & Brewer, M.J. & Santos, M. & Chust, G., 2020. "Modelling species presence–absence in the ecological niche theory framework using shape-constrained generalized additive models," Ecological Modelling, Elsevier, vol. 418(C).

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