KA Nagy

620 citations
16 papers · 454 indexed · h-index 12

Impact in

  • Ecology top 5%
    • Wildlife Ecology and Conservation
    • Physiological and biochemical adaptations
    • Avian ecology and behavior
    • Animal Ecology and Behavior Studies
    • Bat Biology and Ecology Studies
    • Animal Behavior and Reproduction

Papers in

KA Nagy

16 papers receiving 382 citations

Peers

KA Nagy
Comparison fields: 5 of 62
  • Ecology 358
  • Ecology, Evolution, Behavior and Systematics 198
  • Ecological Modeling 42
  • Nature and Landscape Conservation 84
  • Paleontology 46
Replace Marienne S. de Villiers with:
Marienne S. de Villiers South Africa
David R. Martínez Chile
José L. Yáñez Chile
Michalina Pucek Poland
Christen Wemmer United States
Peter J. Dilks New Zealand
Juliana Quadros Brazil
Fred W. Koontz United States
R. A. Fordham New Zealand
F. M. Jaksi� Chile
KA Nagy relative to Marienne S. de Villiers South Africa Marienne S. de Villiers's profile →
Citations per field
00.5×2.7×
Marienne S. de Villiers · 1×
Citations per year

Countries citing papers authored by KA Nagy

Since Specialization
Citations

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

Fields of papers citing papers by KA Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside KA Nagy, 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 KA Nagy Line = papers co-authored together KA Nagy links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20201
2 20168
3
Head-started desert tortoises (Gopherus agassizii): Movements, survivorship and mortality causes following their release
201520
4 199472
5 199443
6 199138
7 199113
8 199129
9 199026
10 19903
11 199025
12 198911
13 198827
14 198569
15 198532
16 198237

About KA Nagy

KA Nagy is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics, Ecology, Paleontology and Virology, having authored 16 papers that have together received 454 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (10 papers), Wildlife Ecology and Conservation (10 papers), Physiological and biochemical adaptations (7 papers), Amphibian and Reptile Biology (4 papers), Fish Ecology and Management Studies (4 papers), Turtle Biology and Conservation (3 papers), Evolution and Paleontology Studies (2 papers) and Animal Ecology and Behavior Studies (1 paper). The work is most often cited by research in Ecology (358 citations), Ecology, Evolution, Behavior and Systematics (198 citations), Ecological Modeling (42 citations), Nature and Landscape Conservation (84 citations) and Paleontology (46 citations). KA Nagy has collaborated with scholars based in United States and Australia. Frequent co-authors include RW Martin, Don Bradshaw, Brian Green, A. P. Smith, Philip C. Withers, William J. Foley, A. J. Bradley, Brian T. Henen, Gerald Kuchling and M. Minagawa. Their work appears in journals such as Australian Journal of Zoology, Endangered Species Research, Marine Ecology Progress Series, Wildlife Research and Herpetological conservation and 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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2026