Daniel Schofield
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
- Social Psychology top 10%
- Primate Behavior and Ecology
Papers in
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- Primate Behavior and Ecology 4
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- Animal Vocal Communication and Behavior 3
- Co-authors
- Misato Hayashi (4 shared papers)Dora Biro (4 shared papers)Tetsuro Matsuzawa (4 shared papers)Susana Carvalho (3 shared papers)Arsha Nagrani (2 shared papers)Andrew Zisserman (2 shared papers)Satoshi Hirata (1 shared paper)Akiko Takahashi (1 shared paper)
- Journals
- Science Advances (2 papers)Primates (1 paper)PeerJ (1 paper)Methods in Ecology and Evolution (1 paper)Duo Research Archive (University of Oslo) (1 paper)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Daniel Schofield
5 papers receiving 243 citations
Peers
Comparison fields: 5 of 65
- Developmental Biology 63
- Social Psychology 100
- Ecological Modeling 18
- Computer Vision and Pattern Recognition 62
- Small Animals 18
Countries citing papers authored by Daniel Schofield
This map shows the geographic impact of Daniel Schofield'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 Daniel Schofield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schofield more than expected).
Fields of papers citing papers by Daniel Schofield
This network shows the impact of papers produced by Daniel Schofield. 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 Daniel Schofield. The network helps show where Daniel Schofield may publish in the future.
Co-authors
The 16 scholars most cited alongside Daniel Schofield, 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 | 2019 | 146 | |
| 2 | 2021 | 46 | |
| 3 | 2017 | 43 | |
| 4 | 2023 | 11 | |
| 5 | 2024 | 6 | |
| 6 | 2018 | 0 |
About Daniel Schofield
Daniel Schofield is a scholar working on Social Psychology, Developmental Biology, Computer Vision and Pattern Recognition, Developmental and Educational Psychology and Sociology and Political Science, having authored 6 papers that have together received 252 indexed citations. Recurring topics across this work include Primate Behavior and Ecology (4 papers), Animal Vocal Communication and Behavior (3 papers), Face and Expression Recognition (1 paper), Human Pose and Action Recognition (1 paper), Education and Critical Thinking Development (1 paper), Language and cultural evolution (1 paper), Educational Innovations and Challenges (1 paper) and Evolutionary Psychology and Human Behavior (1 paper). The work is most often cited by research in Developmental Biology (63 citations), Social Psychology (100 citations), Ecological Modeling (18 citations), Computer Vision and Pattern Recognition (62 citations) and Small Animals (18 citations). Daniel Schofield has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Misato Hayashi, Dora Biro, Tetsuro Matsuzawa, Susana Carvalho, Arsha Nagrani, Andrew Zisserman, Satoshi Hirata, Akiko Takahashi, William C. McGrew and Joana Bessa. Their work appears in journals such as Science Advances, Primates, PeerJ, Methods in Ecology and Evolution and Duo Research Archive (University of Oslo).
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.