Katalin Csilléry
- Genetics top 2%
- Ecology top 5%
- Nature and Landscape Conservation top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Molecular Biology
- Co-authors
- Olivier FrançoisMichaël G. B. BlumOscar E. GaggiottiFrédéric GuillaumeBruno FadyGöran SpongJosephine M. PembertonToby Johnson
- Topics
- Genetic diversity and population structure (12 papers)Genetic and phenotypic traits in livestock (9 papers)Species Distribution and Climate Change (6 papers)
- Partner nations
- SwitzerlandFranceGermany
In The Last Decade
Katalin Csilléry
24 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Genetics 1.1k
- Ecology 492
- Nature and Landscape Conservation 448
- Ecology, Evolution, Behavior and Systematics 397
- Molecular Biology 384
Countries citing papers authored by Katalin Csilléry
This map shows the geographic impact of Katalin Csilléry'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 Katalin Csilléry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin Csilléry more than expected).
Fields of papers citing papers by Katalin Csilléry
This network shows the impact of papers produced by Katalin Csilléry. 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 Katalin Csilléry. The network helps show where Katalin Csilléry may publish in the future.
Co-authorship network of co-authors of Katalin Csilléry
This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Csilléry. A scholar is included among the top collaborators of Katalin Csilléry 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 Katalin Csilléry. Katalin Csilléry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 24 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 53 | |
| 11 | 12 | |
| 12 | 40 | |
| 13 | 31 | |
| 14 | 55 | |
| 15 | 101 | |
| 16 | 57 | |
| 17 | 34 | |
| 18 | abc: an R package for approximate Bayesian computation (ABC)breakdown → | 508 |
| 19 | Approximate Bayesian Computation (ABC) in practicebreakdown → | 868 |
| 20 | 216 |
About Katalin Csilléry
Katalin Csilléry is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Genetics, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Genetic and phenotypic traits in livestock (9 papers) and Species Distribution and Climate Change (6 papers). The work is most often cited by research in Ecological Modeling (266 citations), Genetics (1.1k citations) and Nature and Landscape Conservation (448 citations). Katalin Csilléry has collaborated with scholars based in Switzerland, France and Germany. Frequent co-authors include Olivier François, Michaël G. B. Blum, Oscar E. Gaggiotti, Frédéric Guillaume, Bruno Fady, Göran Spong, Josephine M. Pemberton, Toby Johnson, David W. Coltman and Bengt Hansson. Their work appears in journals such as Trends in Ecology & Evolution, Genetics and Global Change 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.