Vera Vasas

1.1k citations
21 papers · 701 indexed · h-index 13

Vera Vasas

20 papers receiving 685 citations

Peers

Vera Vasas
Comparison fields: 5 of 92
  • Astronomy and Astrophysics 287
  • Cellular and Molecular Neuroscience 154
  • Ecology, Evolution, Behavior and Systematics 120
  • Ecology 115
  • Molecular Biology 291
Replace András Szilágyi with:
András Szilágyi Hungary
Derek Caetano-Anollés United States
Eörs Szathmáry Hungary
Jay E. Mittenthal United States
Péter Szabó Hungary
Sandra Álvarez-Carretero United Kingdom
James Clark United Kingdom
Yoshihiro Mogami Japan
Arnaud Pocheville France
M. W. Ho United Kingdom
Vera Vasas relative to András Szilágyi Hungary András Szilágyi's profile →
Citations per field
00.5×1.5×1.8×
András Szilágyi · 1×
Citations per year

Countries citing papers authored by Vera Vasas

Since Specialization
Citations

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

Fields of papers citing papers by Vera Vasas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20244
3 20243
4 20248
5 202312
6 20198
7 201830
8 201711
9 201714
10 201713
11 20175
12 201516
13 201242
14 2012253
15 201112
16 2010115
17 200920
18 200943
19 200646
20 20068

About Vera Vasas

Vera Vasas is a scholar working on Ecology, Evolution, Behavior and Systematics, Sensory Systems, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Insect Science, having authored 21 papers that have together received 701 indexed citations. Recurring topics across this work include Plant and animal studies (7 papers), Insect and Arachnid Ecology and Behavior (4 papers), Visual perception and processing mechanisms (3 papers), Neurobiology and Insect Physiology Research (3 papers), Origins and Evolution of Life (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Photoreceptor and optogenetics research (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Astronomy and Astrophysics (287 citations), Cellular and Molecular Neuroscience (154 citations), Ecology, Evolution, Behavior and Systematics (120 citations), Ecology (115 citations) and Molecular Biology (291 citations). Vera Vasas has collaborated with scholars based in United Kingdom, Hungary and Spain. Frequent co-authors include Eörs Szathmáry, Mauro Santos, Chrisantha Fernando, Stuart Kauffman, Ferenc Jordán, Lars Chıttka, Tibor Magura, Béla Tóthmérész, Phil Husbands and Simon McGregor. Their work appears in journals such as iScience, Journal of Theoretical Biology, Landscape Ecology, Behavioral Ecology and Scientific Reports.

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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