Vijay Barve

3.9k citations
40 papers · 2.6k indexed · 3 hit papers · h-index 18

Vijay Barve

36 papers receiving 2.5k citations

Hit Papers

Observing the Observers: Ho...17120112026201620214008001.2k

Peers

Vijay Barve
Comparison fields: 5 of 97
  • Ecological Modeling 1.9k
  • Nature and Landscape Conservation 897
  • Ecology 1.1k
  • Ecology, Evolution, Behavior and Systematics 709
  • Paleontology 125
Replace Bruno Vilela with:
Bruno Vilela Brazil
Jamie M. Kass United States
Peter J. Galante United States
Aleksandar Radosavljević United States
Mariano Soley‐Guardia United States
Sean P. Maher United States
Rubén G. Mateo Spain
Jan O. Engler Germany
Huijie Qiao China
Pilar Adriana Rey Hernández Spain
Vijay Barve relative to Bruno Vilela Brazil Bruno Vilela's profile →
Citations per field
00.5×2.7×
Bruno Vilela · 1×
Citations per year

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

The 25 scholars most cited alongside Vijay Barve, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vijay Barve Line = papers co-authored together Vijay Barve links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20247
4 20241
5 20230
6 20232
7 20230
8 202220
9 20225
10 202226
11 202235
12 202118
13
Observing the Observers: How Participants Contribute Data to iNaturalist and Implications for Biodiversity Sciencebreakdown →
2021171
14 202128
15 20215
16 20214
17 20196
18 20192
19 201922
20 201716

About Vijay Barve

Vijay Barve is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (34 papers), Ecology and Vegetation Dynamics Studies (13 papers), Plant and animal studies (11 papers), Wildlife Ecology and Conservation (8 papers), Animal and Plant Science Education (8 papers), Environmental DNA in Biodiversity Studies (5 papers), Lepidoptera: Biology and Taxonomy (3 papers) and Data Analysis with R (3 papers). The work is most often cited by research in Ecological Modeling (1.9k citations), Nature and Landscape Conservation (897 citations) and Ecology (1.1k citations). Vijay Barve has collaborated with scholars based in United States, Mexico and Spain. Frequent 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. Their work appears in journals such as Bioinformatics, Scientific Reports and Global Change Biology.

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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