Ágnes Vári
Impact in
- Environmental Chemistry top 5%
- Aquatic Ecosystems and Phytoplankton Dynamics
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services
- Conservation, Biodiversity, and Resource Management
Papers in
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- Land Use and Ecosystem Services 11
- Conservation, Biodiversity, and Resource Management 9
- Forest Management and Policy 3
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- Aquatic Ecosystems and Phytoplankton Dynamics 9
- Sustainable Agricultural Systems Analysis 3
- Co-authors
- Viktor R. Tóth (4 shared papers)Bálint Czúcz (6 shared papers)Zsolt Pinke (3 shared papers)István Tátrai (3 shared papers)Gergely Boros (3 shared papers)Ildikó Arany (5 shared papers)András Zlinszky (2 shared papers)Werner Mücke (1 shared paper)
In The Last Decade
Ágnes Vári
28 papers receiving 514 citations
Peers
Comparison fields: 5 of 69
- Environmental Chemistry 129
- Global and Planetary Change 215
- Ecological Modeling 36
- Nature and Landscape Conservation 88
- Ecology 183
Countries citing papers authored by Ágnes Vári
This map shows the geographic impact of Ágnes Vári'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 Ágnes Vári with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ágnes Vári more than expected).
Fields of papers citing papers by Ágnes Vári
This network shows the impact of papers produced by Ágnes Vári. 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 Ágnes Vári. The network helps show where Ágnes Vári may publish in the future.
Co-authors
The 25 scholars most cited alongside Ágnes Vári, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 115 | |
| 2 | 2014 | 70 | |
| 3 | 2011 | 38 | |
| 4 | 2022 | 35 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 31 | |
| 7 | 2013 | 30 | |
| 8 | 2020 | 20 | |
| 9 | 2024 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2011 | 11 | |
| 15 | 2011 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2009 | 9 | |
| 18 | 2010 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2019 | 7 |
About Ágnes Vári
Ágnes Vári is a scholar working on Global and Planetary Change, Environmental Chemistry, Ecology, Nature and Landscape Conservation and Oceanography, having authored 30 papers that have together received 537 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (11 papers), Aquatic Ecosystems and Phytoplankton Dynamics (9 papers), Conservation, Biodiversity, and Resource Management (9 papers), Soil erosion and sediment transport (4 papers), Forest Management and Policy (3 papers), Marine and coastal ecosystems (3 papers), Hydrology and Watershed Management Studies (3 papers) and Sustainable Agricultural Systems Analysis (3 papers). The work is most often cited by research in Environmental Chemistry (129 citations), Global and Planetary Change (215 citations), Ecological Modeling (36 citations), Nature and Landscape Conservation (88 citations) and Ecology (183 citations). Ágnes Vári has collaborated with scholars based in Hungary, Canada and Romania. Frequent co-authors include Viktor R. Tóth, Bálint Czúcz, Zsolt Pinke, István Tátrai, Gergely Boros, Ildikó Arany, András Zlinszky, Werner Mücke, Adam Kania and Almut Gerhardt. Their work appears in journals such as Ecosystem Services, Ecological Indicators, AMBIO, Frontiers in Ecology and Evolution and Journal of Ethnobiology and Ethnomedicine.
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.