Judit Ungvári
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
- Parasitology top 10%
- Bird parasitology and diseases
Papers in
- Ecology 7
- Wildlife Ecology and Conservation 5
- Avian ecology and behavior 5
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- Data Quality and Management 4
- Co-authors
- Gustavo A. Londoño (3 shared papers)Scott K. Robinson (1 shared paper)Douglas J. Levey (1 shared paper)John R. Poulsen (1 shared paper)Jill E. Jankowski (1 shared paper)Christine M. Stracey (1 shared paper)Keith A. Hobson (2 shared papers)Randall Breitwisch (2 shared papers)
- Journals
- Ecology and Evolution (2 papers)Data Science Journal (1 paper)G3 Genes Genomes Genetics (1 paper)The Lancet Planetary Health (1 paper)Journal of Biogeography (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Judit Ungvári
16 papers receiving 327 citations
Peers
Comparison fields: 5 of 72
- Developmental Biology 44
- Parasitology 33
- Ecological Modeling 21
- Information Systems and Management 33
- Ecology, Evolution, Behavior and Systematics 87
Countries citing papers authored by Judit Ungvári
This map shows the geographic impact of Judit Ungvári'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 Judit Ungvári with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judit Ungvári more than expected).
Fields of papers citing papers by Judit Ungvári
This network shows the impact of papers produced by Judit Ungvári. 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 Judit Ungvári. The network helps show where Judit Ungvári may publish in the future.
Co-authors
The 25 scholars most cited alongside Judit Ungvári, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 103 | |
| 2 | 2017 | 58 | |
| 3 | 2018 | 35 | |
| 4 | 2019 | 35 | |
| 5 | 2019 | 27 | |
| 6 | 2012 | 11 | |
| 7 | 2005 | 11 | |
| 8 | 2011 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2016 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2012 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2018 | 1 |
About Judit Ungvári
Judit Ungvári is a scholar working on Ecology, Management Science and Operations Research, Information Systems, Information Systems and Management and Genetics, having authored 16 papers that have together received 334 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (5 papers), Avian ecology and behavior (5 papers), Data Quality and Management (4 papers), Research Data Management Practices (3 papers), Scientific Computing and Data Management (3 papers), Modern American Literature Studies (2 papers), Genetic diversity and population structure (2 papers) and Climate Change Communication and Perception (1 paper). The work is most often cited by research in Developmental Biology (44 citations), Parasitology (33 citations), Ecological Modeling (21 citations), Information Systems and Management (33 citations) and Ecology, Evolution, Behavior and Systematics (87 citations). Judit Ungvári has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Gustavo A. Londoño, Scott K. Robinson, Douglas J. Levey, John R. Poulsen, Jill E. Jankowski, Christine M. Stracey, Keith A. Hobson, Randall Breitwisch, Kim C. Derrickson and Tina Lee. Their work appears in journals such as Ecology and Evolution, Data Science Journal, G3 Genes Genomes Genetics, The Lancet Planetary Health and Journal of Biogeography.
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.