David Nicholson

11.7k total citations
13 papers, 68 citations indexed

About

David Nicholson is a scholar working on Ecology, Evolution, Behavior and Systematics, Developmental Biology and Artificial Intelligence. According to data from OpenAlex, David Nicholson has authored 13 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, Evolution, Behavior and Systematics, 5 papers in Developmental Biology and 4 papers in Artificial Intelligence. Recurrent topics in David Nicholson's work include Animal Vocal Communication and Behavior (5 papers), Animal Behavior and Reproduction (4 papers) and Marine animal studies overview (2 papers). David Nicholson is often cited by papers focused on Animal Vocal Communication and Behavior (5 papers), Animal Behavior and Reproduction (4 papers) and Marine animal studies overview (2 papers). David Nicholson collaborates with scholars based in United States, United Kingdom and Sweden. David Nicholson's co-authors include Samuel J. Sober, Todd F. Roberts, Stephen Roberts, Cara C. Manning, Steven Reece, Conor Kelly, Astrid A. Prinz, Nicholas R. Jennings, Luc Moreau and Sarvapali D. Ramchurn and has published in prestigious journals such as The Journal of Comparative Neurology, Communications of the ACM and Trends in Pharmacological Sciences.

In The Last Decade

David Nicholson

13 papers receiving 65 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Nicholson United States 5 29 23 19 18 8 13 68
Simon Mercer United Kingdom 4 8 0.3× 48 2.1× 31 1.6× 12 0.7× 4 0.5× 7 116
Agata Budzillo United States 5 18 0.6× 17 0.7× 11 0.6× 4 0.2× 5 96
Mario Lasseck Germany 8 98 3.4× 24 1.0× 58 3.1× 9 0.5× 13 171
Yannic Kilcher Switzerland 4 54 1.9× 5 0.2× 24 1.3× 58 3.2× 1 0.1× 6 129
Tom Denton United States 6 90 3.1× 11 0.5× 55 2.9× 11 0.6× 9 127
Willem-Pier Vellinga Netherlands 3 33 1.1× 10 0.4× 16 0.8× 2 0.1× 6 48
Nivretta Thatra United States 4 42 1.4× 38 1.7× 25 1.3× 4 76
Samantha R. Friedrich United States 5 34 1.2× 35 1.5× 23 1.2× 8 64
Max Bain United Kingdom 5 15 0.5× 6 0.3× 9 0.5× 68 3.8× 8 159
Julia Wang United States 4 5 0.2× 3 0.1× 57 3.0× 5 0.3× 6 114

Countries citing papers authored by David Nicholson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Nicholson

This figure shows the co-authorship network connecting the top 25 collaborators of David Nicholson. A scholar is included among the top collaborators of David Nicholson 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 David Nicholson. David Nicholson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Nicholson, David. (2023). Crowsetta: A Python tool to work with any format forannotating animal vocalizations and bioacoustics data.. The Journal of Open Source Software. 8(84). 5338–5338. 4 indexed citations
2.
Nicholson, David & Astrid A. Prinz. (2022). Could simplified stimuli change how the brain performs visual search tasks? A deep neural network study. Journal of Vision. 22(7). 3–3. 3 indexed citations
3.
Nicholson, David. (2021). NickleDave/hybrid-vocal-classifier:. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
5.
Nicholson, David, Todd F. Roberts, & Samuel J. Sober. (2018). Thalamostriatal and cerebellothalamic pathways in a songbird, the Bengalese finch. The Journal of Comparative Neurology. 526(9). 1550–1570. 17 indexed citations
6.
Manning, Cara C. & David Nicholson. (2016). gas_toolbox: MATLAB code used in Manning et al. GTWS-7 proceedings. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
7.
Nicholson, David. (2016). Comparison of machine learning methods applied to birdsong element classification. Proceedings of the Python in Science Conferences. 57–61. 7 indexed citations
8.
Jennings, Nicholas R., Luc Moreau, David Nicholson, et al.. (2014). Human-agent collectives. Communications of the ACM. 57(12). 80–88. 8 indexed citations
9.
Park, Barry, et al.. (2013). Crowdsourcing soft data for improved urban situation assessment. 669–675. 4 indexed citations
10.
Kelly, Conor, et al.. (2012). A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds. Journal of Visualized Experiments. e50027–e50027. 7 indexed citations
11.
Kelly, Conor, et al.. (2012). A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds. Journal of Visualized Experiments. 1 indexed citations
12.
Reece, Steven, et al.. (2011). Determining intent using hard/soft data and Gaussian process classifiers. Oxford University Research Archive (ORA) (University of Oxford). 1–8. 9 indexed citations
13.
Connick, J.H., Philip C. Fox, & David Nicholson. (1990). Psychotimimetic effects and stigma ligands. Trends in Pharmacological Sciences. 11(7). 274–275. 3 indexed citations

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.

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