David Nicholson
Impact in
- Developmental Biology top 10%
- Animal Vocal Communication and Behavior
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Animal Behavior and Reproduction 4
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- Animal Vocal Communication and Behavior 5
- Co-authors
- Samuel J. Sober (3 shared papers)Todd F. Roberts (1 shared paper)Stephen Roberts (2 shared papers)Astrid A. Prinz (2 shared papers)Conor Kelly (2 shared papers)Cara C. Manning (1 shared paper)Steven Reece (1 shared paper)J.H. Connick (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Communications of the ACM (1 paper)The Journal of Comparative Neurology (1 paper)Journal of Vision (1 paper)Trends in Pharmacological Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
David Nicholson
13 papers receiving 65 citations
Peers
Comparison fields: 5 of 43
- Developmental Biology 29
- Computer Science Applications 8
- Ecology, Evolution, Behavior and Systematics 23
- Ecology 19
- Artificial Intelligence 18
Countries citing papers authored by David Nicholson
This map shows the geographic impact of David Nicholson'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 David Nicholson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Nicholson more than expected).
Fields of papers citing papers by David Nicholson
This network shows the impact of papers produced by David Nicholson. 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 David Nicholson. The network helps show where David Nicholson may publish in the future.
Co-authors
The 15 scholars most cited alongside David Nicholson, 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 | 2018 | 17 | |
| 2 | Determining intent using hard/soft data and Gaussian process classifiers | 2011 | 9 |
| 3 | 2014 | 8 | |
| 4 | 2012 | 7 | |
| 5 | 2016 | 7 | |
| 6 | 2023 | 4 | |
| 7 | Crowdsourcing soft data for improved urban situation assessment | 2013 | 4 |
| 8 | 1990 | 3 | |
| 9 | 2016 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2019 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2021 | 1 |
About David Nicholson
David Nicholson is a scholar working on Ecology, Evolution, Behavior and Systematics, Developmental Biology, Artificial Intelligence, Ecology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 68 indexed citations. Recurring topics across this work include Animal Vocal Communication and Behavior (5 papers), Animal Behavior and Reproduction (4 papers), Visual perception and processing mechanisms (2 papers), Visual Attention and Saliency Detection (2 papers), Face Recognition and Perception (2 papers), Marine animal studies overview (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Developmental Biology (29 citations), Computer Science Applications (8 citations), Ecology, Evolution, Behavior and Systematics (23 citations), Ecology (19 citations) and Artificial Intelligence (18 citations). David Nicholson has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Samuel J. Sober, Todd F. Roberts, Stephen Roberts, Astrid A. Prinz, Conor Kelly, Cara C. Manning, Steven Reece, J.H. Connick, Nicholas R. Jennings and Barry Park. Their work appears in journals such as Journal of Visualized Experiments, Communications of the ACM, The Journal of Comparative Neurology, Journal of Vision and Trends in Pharmacological 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.