Robin Ryder
Impact in
- Developmental Biology top 2%
- Animal Vocal Communication and Behavior
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
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- Animal Vocal Communication and Behavior 6
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- Primate Behavior and Ecology 4
- Co-authors
- Pierre Pudlo (1 shared paper)Christian P. Robert (1 shared paper)Jean‐Michel Marin (1 shared paper)Johann‐Mattis List (1 shared paper)Guillaume Jacques (1 shared paper)Yunfan Lai (1 shared paper)Laurent Sagart (1 shared paper)Simon J. Greenhill (1 shared paper)
- Journals
- Theoretical Linguistics (2 papers)Linguistics and Philosophy (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Robin Ryder
12 papers receiving 765 citations
Robin Ryder's Hit Papers
Peers
Comparison fields: 5 of 106
- Developmental Biology 128
- Statistics and Probability 255
- Cultural Studies 159
- Linguistics and Language 63
- Statistics, Probability and Uncertainty 78
Countries citing papers authored by Robin Ryder
This map shows the geographic impact of Robin Ryder'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 Robin Ryder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Ryder more than expected).
Fields of papers citing papers by Robin Ryder
This network shows the impact of papers produced by Robin Ryder. 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 Robin Ryder. The network helps show where Robin Ryder may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Ryder, 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 | Approximate Bayesian computational methods Hit paper breakdown → | 2011 | 443 |
| 2 | Dated language phylogenies shed light on the ancestry of Sino-Tibetan Hit paper breakdown → | 2019 | 149 |
| 3 | 2014 | 68 | |
| 4 | 2016 | 65 | |
| 5 | 2016 | 27 | |
| 6 | 2016 | 22 | |
| 7 | 2010 | 18 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2025 | 1 | |
| 11 | 2022 | 1 | |
| 12 | TraitLab: A MatLab package for fitting and simulating binary tree-like data | 2011 | 1 |
About Robin Ryder
Robin Ryder is a scholar working on Developmental Biology, Social Psychology, Cultural Studies, Paleontology and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 804 indexed citations. Recurring topics across this work include Animal Vocal Communication and Behavior (6 papers), Language and cultural evolution (4 papers), Primate Behavior and Ecology (4 papers), Evolution and Paleontology Studies (3 papers), Bayesian Methods and Mixture Models (2 papers), Animal Behavior and Reproduction (2 papers), Hand Gesture Recognition Systems (1 paper) and Linguistic Variation and Morphology (1 paper). The work is most often cited by research in Developmental Biology (128 citations), Statistics and Probability (255 citations), Cultural Studies (159 citations), Linguistics and Language (63 citations) and Statistics, Probability and Uncertainty (78 citations). Robin Ryder has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Pierre Pudlo, Christian P. Robert, Jean‐Michel Marin, Johann‐Mattis List, Guillaume Jacques, Yunfan Lai, Laurent Sagart, Simon J. Greenhill, Emmanuel Chemla and Klaus Zuberbühler. Their work appears in journals such as Theoretical Linguistics, Linguistics and Philosophy, Journal of the Royal Statistical Society Series C (Applied Statistics), Scientific Reports and Proceedings of the National Academy of Sciences.
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.