Vijay Barve

3.9k total citations · 3 hit papers
40 papers, 2.6k citations indexed

About

Vijay Barve is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Vijay Barve has authored 40 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Ecological Modeling, 16 papers in Ecology and 13 papers in Nature and Landscape Conservation. Recurrent topics in Vijay Barve's work include Species Distribution and Climate Change (34 papers), Ecology and Vegetation Dynamics Studies (13 papers) and Plant and animal studies (11 papers). Vijay Barve is often cited by papers focused on Species Distribution and Climate Change (34 papers), Ecology and Vegetation Dynamics Studies (13 papers) and Plant and animal studies (11 papers). Vijay Barve collaborates with scholars based in United States, Mexico and Spain. Vijay Barve's co-authors include Narayani Barve, A. Townsend Peterson, Jorge Soberón, Andrés Lira‐Noriega, Alberto Jiménez‐Valverde, Fabricio Villalobos, Sean P. Maher, Robert Guralnick, Michael W. Belitz and Brian J. Stucky and has published in prestigious journals such as Bioinformatics, Scientific Reports and Global Change Biology.

In The Last Decade

Vijay Barve

36 papers receiving 2.5k citations

Hit Papers

The crucial role of the accessible area in ecological nic... 2011 2026 2016 2021 2011 2020 2021 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vijay Barve United States 18 1.9k 1.1k 897 709 456 40 2.6k
Bruno Vilela Brazil 15 1.5k 0.8× 1.0k 0.9× 744 0.8× 696 1.0× 450 1.0× 53 2.4k
Jamie M. Kass United States 17 2.0k 1.1× 1.4k 1.2× 829 0.9× 711 1.0× 570 1.3× 40 2.9k
Peter J. Galante United States 9 1.6k 0.8× 1.0k 0.9× 618 0.7× 552 0.8× 431 0.9× 12 2.2k
Aleksandar Radosavljević United States 8 2.1k 1.1× 1.4k 1.2× 962 1.1× 765 1.1× 538 1.2× 18 2.9k
Mariano Soley‐Guardia United States 7 1.5k 0.8× 988 0.9× 582 0.6× 540 0.8× 408 0.9× 9 2.1k
Sean P. Maher United States 14 1.5k 0.8× 1.1k 1.0× 831 0.9× 561 0.8× 421 0.9× 20 2.4k
Pilar Adriana Rey Hernández Spain 5 1.7k 0.9× 1.2k 1.0× 878 1.0× 492 0.7× 309 0.7× 9 2.3k
Huijie Qiao China 26 1.3k 0.7× 1.0k 0.9× 732 0.8× 492 0.7× 370 0.8× 79 2.5k
Jan O. Engler Germany 23 1.5k 0.8× 1.2k 1.0× 818 0.9× 527 0.7× 528 1.2× 57 2.4k
Narayani Barve United States 21 2.7k 1.4× 1.7k 1.5× 1.4k 1.5× 1.0k 1.4× 689 1.5× 47 4.0k

Countries citing papers authored by Vijay Barve

Since Specialization
Citations

This map shows the geographic impact of Vijay Barve's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vijay Barve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Barve more than expected).

Fields of papers citing papers by Vijay Barve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vijay Barve. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vijay Barve. The network helps show where Vijay Barve may publish in the future.

Co-authorship network of co-authors of Vijay Barve

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Barve. A scholar is included among the top collaborators of Vijay Barve based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vijay Barve. Vijay Barve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Boydston, Erin E., Michael E. Akresh, Jennifer S. Briggs, et al.. (2025). Biodiversity on public lands: How community science can help. Conservation Science and Practice. 7(5).
2.
Musinguzi, Laban, et al.. (2024). Initiatives to the Global Representation of Scientific Collections. Biodiversity Information Science and Standards. 8.
3.
Soriano‐Redondo, Andrea, Ricardo A. Correia, Vijay Barve, et al.. (2024). Harnessing online digital data in biodiversity monitoring. PLoS Biology. 22(2). e3002497–e3002497. 7 indexed citations
4.
Barve, Narayani, Uzma Ashraf, Vijay Barve, et al.. (2024). Revisiting plant hardiness zones to include multiple climatic stress dimensions. iScience. 27(10). 110824–110824. 1 indexed citations
5.
Tucker, Erika M., Julie M. Allen, Vijay Barve, et al.. (2023). Building a community-based taxonomic resource for digitization of parasites and their hosts. Insect Systematics and Diversity. 7(6).
6.
Barve, Vijay. (2023). Elevating the Fitness of Use of GBIF Occurrence Datasets: A proposal for peer review. Biodiversity Information Science and Standards. 7. 2 indexed citations
7.
Barve, Vijay, et al.. (2023). DiversityIndia Meets: Pioneering citizen science through collaborative data mobilization. Biodiversity Information Science and Standards. 7.
8.
Nuñez‐Penichet, Claudia, Marlon E. Cobos, Jorge Soberón, et al.. (2022). Selection of sampling sites for biodiversity inventory: Effects of environmental and geographical considerations. Methods in Ecology and Evolution. 13(7). 1595–1607. 20 indexed citations
9.
Barve, Vijay, et al.. (2022). Best Practices for Data Management in Citizen Science - An Indian Outlook. Macedonian Journal of Medical Sciences (University of Skopje). 17. 5 indexed citations
10.
Pinkert, Stefan, Vijay Barve, Robert Guralnick, & Walter Jetz. (2022). Global geographical and latitudinal variation in butterfly species richness captured through a comprehensive country‐level occurrence database. Global Ecology and Biogeography. 31(5). 830–839. 26 indexed citations
11.
Shirey, Vaughn, Elise A. Larsen, Michael W. Belitz, et al.. (2022). LepTraits 1.0 A globally comprehensive dataset of butterfly traits. Scientific Data. 9(1). 382–382. 35 indexed citations
12.
Belitz, Michael W., Vijay Barve, Maggie M. Hantak, et al.. (2021). Climate drivers of adult insect activity are conditioned by life history traits. Ecology Letters. 24(12). 2687–2699. 18 indexed citations
13.
Cecco, Grace J. Di, Vijay Barve, Michael W. Belitz, et al.. (2021). Observing the Observers: How Participants Contribute Data to iNaturalist and Implications for Biodiversity Science. BioScience. 71(11). 1179–1188. 171 indexed citations breakdown →
14.
Earl, Chandra, Michael W. Belitz, Shawn W. Laffan, et al.. (2021). Spatial phylogenetics of butterflies in relation to environmental drivers and angiosperm diversity across North America. iScience. 24(4). 102239–102239. 28 indexed citations
15.
Owens, Hannah L., Cory Merow, Brian Maitner, et al.. (2021). occCite: Tools for querying and managing large biodiversity occurrence datasets. Ecography. 44(8). 1228–1235. 5 indexed citations
16.
Brenskelle, Laura, Vijay Barve, Lucas C. Majure, Rob Guralnick, & Daijiang Li. (2021). Analyzing a phenological anomaly in Yucca of the southwestern United States. Scientific Reports. 11(1). 20819–20819. 4 indexed citations
17.
Stucky, Brian J., James P. Balhoff, Narayani Barve, et al.. (2019). Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions. Biodiversity Data Journal. 7. e33303–e33303. 6 indexed citations
18.
Rajagopal, Prabhakar, et al.. (2019). Global Biodiversity Knowledge Commons and Civil Society of the Global South. Biodiversity Information Science and Standards. 3. 2 indexed citations
19.
Jiménez‐Valverde, Alberto, et al.. (2019). Photo‐sharing platforms key for characterising niche and distribution in poorly studied taxa. Insect Conservation and Diversity. 12(5). 389–403. 22 indexed citations
20.
Ingenloff, Kate, Christopher Michael Hensz, Vijay Barve, et al.. (2017). Predictable invasion dynamics in North American populations of the Eurasian collared dove Streptopelia decaocto. Proceedings of the Royal Society B Biological Sciences. 284(1862). 20171157–20171157. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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