Tanya Berger‐Wolf
- Statistical and Nonlinear Physics top 0.5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Ecology top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Chayant TantipathananandhArun S. MaiyaMayank LahiriJared SaiaDavid KempeDaniel I. RubensteinCharles V. StewartMargaret C. Crofoot
- Topics
- Complex Network Analysis Techniques (24 papers)Opinion Dynamics and Social Influence (15 papers)Data Visualization and Analytics (10 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Tanya Berger‐Wolf
100 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Statistical and Nonlinear Physics 845
- Artificial Intelligence 516
- Computer Vision and Pattern Recognition 451
- Ecology 439
- Computer Networks and Communications 428
Countries citing papers authored by Tanya Berger‐Wolf
This map shows the geographic impact of Tanya Berger‐Wolf'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 Tanya Berger‐Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanya Berger‐Wolf more than expected).
Fields of papers citing papers by Tanya Berger‐Wolf
This network shows the impact of papers produced by Tanya Berger‐Wolf. 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 Tanya Berger‐Wolf. The network helps show where Tanya Berger‐Wolf may publish in the future.
Co-authorship network of co-authors of Tanya Berger‐Wolf
This figure shows the co-authorship network connecting the top 25 collaborators of Tanya Berger‐Wolf. A scholar is included among the top collaborators of Tanya Berger‐Wolf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tanya Berger‐Wolf. Tanya Berger‐Wolf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 35 | |
| 6 | 7 | |
| 7 | Perspectives in machine learning for wildlife conservationbreakdown → | 348 |
| 8 | 3 | |
| 9 | Animal population censusing at scale with citizen science and photographic identification | 17 |
| 10 | 2 | |
| 11 | Social information improves location prediction in the wild | 8 |
| 12 | 104 | |
| 13 | 9 | |
| 14 | 12 | |
| 15 | 36 | |
| 16 | 6 | |
| 17 | Consensus methods for reconstruction of sibling relationships from genetic data | 2 |
| 18 | 3 | |
| 19 | 48 | |
| 20 | Optimal multichannel communication under failure | 2 |
About Tanya Berger‐Wolf
Tanya Berger‐Wolf is a scholar working on Developmental Biology, Statistical and Nonlinear Physics and Ecological Modeling, having authored 103 papers that have together received 2.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (24 papers), Opinion Dynamics and Social Influence (15 papers) and Data Visualization and Analytics (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (845 citations), Developmental Biology (115 citations) and Ecological Modeling (199 citations). Tanya Berger‐Wolf has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Chayant Tantipathananandh, Arun S. Maiya, Mayank Lahiri, Jared Saia, David Kempe, Daniel I. Rubenstein, Charles V. Stewart, Margaret C. Crofoot, Iain D. Couzin and Siva R. Sundaresan. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.