Gábor Vida

804 citations
35 papers · 544 · h-index 13

Impact in

Papers in

Gábor Vida

34 papers receiving 490 citations

Peers

Gábor Vida
Comparison fields: 5 of 102
  • Ecology, Evolution, Behavior and Systematics 227
  • Plant Science 179
  • Ecology 82
  • Molecular Biology 189
  • Cell Biology 33
Replace Karlene V. Schwartz with:
Karlene V. Schwartz United States
WILLIAM C. SUMMERS United States
Morgan R. Gostel United States
Keiko Kosuge Japan
Béatrice Albert France
Peter Schols Belgium
M. B. E. Godward United Kingdom
Sven Snogerup Sweden
Riccardo M. Baldini Italy
Rajendra P. Kandpal United States
Gábor Vida relative to Karlene V. Schwartz United States Karlene V. Schwartz's profile →
Citations per field
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Karlene V. Schwartz · 1×
Citations per year

Countries citing papers authored by Gábor Vida

Since Specialization
Citations

This map shows the geographic impact of Gábor Vida'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 Gábor Vida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Vida more than expected).

Fields of papers citing papers by Gábor Vida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gábor Vida. 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 Gábor Vida. The network helps show where Gábor Vida may publish in the future.

Co-authors

The 25 scholars most cited alongside Gábor Vida, 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 Gábor Vida Line = papers co-authored together Gábor Vida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199888
2 199987
3 196846
4 197138
5 197332
6 200228
7 197526
8 199424
9 197022
10 197720
11 201718
12 197916
13 196714
14 198312
15 199910
16 19709
17 19788
18 19817
19 20205
20 19525

About Gábor Vida

Gábor Vida is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Molecular Biology, Automotive Engineering and Sociology and Political Science, having authored 35 papers that have together received 544 indexed citations. Recurring topics across this work include Fern and Epiphyte Biology (11 papers), Lichen and fungal ecology (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Plant and animal studies (4 papers), Botany and Plant Ecology Studies (3 papers), Genomics and Phylogenetic Studies (2 papers), Evolution and Genetic Dynamics (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (227 citations), Plant Science (179 citations), Ecology (82 citations), Molecular Biology (189 citations) and Cell Biology (33 citations). Gábor Vida has collaborated with scholars based in Hungary, Switzerland and United Kingdom. Frequent co-authors include Tibor Vellai, T. Reichstein, Krisztina Takács, Irene Manton, Carl‐Johan Widén, J. v. Euw, Mauri Lounasmaa, Ferenc Jordán, István Scheuring and Alice F. Tryon. Their work appears in journals such as Environmental Conservation, Helvetica Chimica Acta, Proceedings of the Royal Society B Biological Sciences, Botanical Journal of the Linnean Society and Theoretical and Applied Genetics.

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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