John Pearson

24.5k total citations · 6 hit papers
318 papers, 17.5k citations indexed

About

John Pearson is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, John Pearson has authored 318 papers receiving a total of 17.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Nuclear and High Energy Physics, 53 papers in Astronomy and Astrophysics and 42 papers in Cellular and Molecular Neuroscience. Recurrent topics in John Pearson's work include Nuclear physics research studies (84 papers), Pulsars and Gravitational Waves Research (44 papers) and Technology Adoption and User Behaviour (38 papers). John Pearson is often cited by papers focused on Nuclear physics research studies (84 papers), Pulsars and Gravitational Waves Research (44 papers) and Technology Adoption and User Behaviour (38 papers). John Pearson collaborates with scholars based in United States, Canada and Belgium. John Pearson's co-authors include S. Goriely, N. Chamel, F. Tondeur, Michael L. Platt, Piers C. Emson, Elizabeth E. Grandón, Benjamin Y. Hayden, M. Samyn, Leslie Brandeis and S. Goriely and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

John Pearson

306 papers receiving 16.6k citations

Hit Papers

Chemical Neuroanatomy 1984 2026 1998 2012 1984 2004 2003 2010 2009 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Pearson United States 68 5.5k 3.3k 2.4k 2.3k 1.9k 318 17.5k
Richard P. Feynman United States 55 6.2k 1.1× 197 0.1× 2.1k 0.9× 439 0.2× 16.9k 9.1× 164 32.8k
John P. Hughes United States 50 3.0k 0.5× 719 0.2× 4.5k 1.9× 367 0.2× 131 0.1× 388 14.4k
Gaël Varoquaux France 37 570 0.1× 267 0.1× 3.0k 1.2× 5.0k 2.1× 666 0.4× 137 14.8k
Roger Penrose United Kingdom 69 11.4k 2.1× 497 0.1× 14.0k 5.8× 1.6k 0.7× 6.0k 3.2× 212 28.7k
Rodney A. Brooks United States 70 376 0.1× 835 0.2× 220 0.1× 3.0k 1.3× 465 0.3× 240 23.3k
Per Bak United States 59 474 0.1× 324 0.1× 973 0.4× 1.8k 0.8× 3.8k 2.0× 165 26.1k
Robert E. Kass United States 50 359 0.1× 1.9k 0.6× 1.0k 0.4× 4.8k 2.1× 193 0.1× 158 23.8k
David Böhm United Kingdom 39 901 0.2× 86 0.0× 1.9k 0.8× 634 0.3× 13.3k 7.2× 107 22.4k
Ilya Prigogine Belgium 47 231 0.0× 457 0.1× 1.8k 0.7× 1.2k 0.5× 3.4k 1.9× 297 23.3k
Richard H. Price United States 49 3.4k 0.6× 146 0.0× 5.0k 2.0× 156 0.1× 583 0.3× 239 13.1k

Countries citing papers authored by John Pearson

Since Specialization
Citations

This map shows the geographic impact of John Pearson'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 John Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Pearson more than expected).

Fields of papers citing papers by John Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Pearson. 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 John Pearson. The network helps show where John Pearson may publish in the future.

Co-authorship network of co-authors of John Pearson

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

All Works

20 of 20 papers shown
1.
Pearson, John, et al.. (2025). Dual neuromodulatory dynamics underlie birdsong learning. Nature. 641(8063). 690–698.
2.
Pearson, John, et al.. (2023). Health literacy and social determinants of health. The Southwest Respiratory and Critical Care Chronicles. 11(47). 26–32. 4 indexed citations
3.
Mohl, Jeff T., John Pearson, & Jennifer M. Groh. (2020). Monkeys and humans implement causal inference to simultaneously localize auditory and visual stimuli. Journal of Neurophysiology. 124(3). 715–727. 17 indexed citations
5.
Iqbal, Shariq, et al.. (2019). Latent goal models for dynamic strategic interaction. PLoS Computational Biology. 15(3). e1006895–e1006895. 4 indexed citations
6.
Pearson, John & Ann Pearson. (2016). An Exploratory Study into Determining the Relative Importance of Key Criteria in Web Usability: A Multi-Criteria Approach. Journal of Computer Information Systems. 48(4). 115–127. 17 indexed citations
7.
Chamel, N., A. F. Fantina, John Pearson, & S. Goriely. (2013). Phase transitions in dense matter and the maximum mass of neutron stars. Springer Link (Chiba Institute of Technology). 28 indexed citations
8.
Pearson, John, et al.. (2013). Bases of Intra‑Organizational Power: An Analysis of the Information Technology Department. 16(2). 3 indexed citations
9.
Pearson, John, et al.. (2011). Social influence and willingness to pay for online video games. International Conference on Information Systems. 53. 4 indexed citations
10.
Hayden, Benjamin Y., Sarah R. Heilbronner, John Pearson, & Michael L. Platt. (2011). Surprise Signals in Anterior Cingulate Cortex: Neuronal Encoding of Unsigned Reward Prediction Errors Driving Adjustment in Behavior. Journal of Neuroscience. 31(11). 4178–4187. 281 indexed citations
11.
Pearson, John, et al.. (2009). The Examination of Two Web Site Usability Instruments for Use in B2C E-Commerce Organizations. Journal of Computer Information Systems. 49(4). 19–32. 31 indexed citations
12.
Pearson, Ann, John Pearson, & Chris Griffin. (2009). Innovating with Technology: The Impact of Overload, Autonomy, and Work and Family Conflict. Journal of the Association for Information Systems. 9(4). 5. 13 indexed citations
13.
Pearson, John, et al.. (2008). Risky Group Decision Making: A Comparative Analysis of FTF and CMC Teams in Stock-Trak Investment Simulations. Journal of the Association for Information Systems. 239. 1 indexed citations
14.
Jia, Ronnie, et al.. (2007). Can Computer Playfulness and Cognitive Absorption Lead to Problematic Technology Usage. Journal of the Association for Information Systems. 22. 21 indexed citations
15.
Pearson, John, et al.. (2004). The Impact Of Culture On Training Methods And Computer Self-Efficacy. Journal of the Association for Information Systems. 64. 1 indexed citations
16.
Pearson, John, et al.. (2003). Effects of Two Information Privacy Concerns on Students' Feeling of Alienation. Journal of the Association for Information Systems. 222. 4 indexed citations
17.
Pearson, John, et al.. (2003). An Empirical Investigation into the Relationship between Organizational Culture and Computer Efficacy as Moderated by Age and Gender. Journal of Computer Information Systems. 43(2). 58–70. 34 indexed citations
18.
Pearson, John, et al.. (1997). An Empirical Investigation into the Validity of SERVQUAL in the Public Sector. Public Administration Quarterly. 21(1). 54. 38 indexed citations
19.
Pearson, John & J. P. Shim. (1992). An empirical investigation into decision support environments: findings and considerations. Journal of the Association for Information Systems. 59–69. 1 indexed citations
20.
Pearson, John. (1982). A Comprehensive Software Subsystem for Anatomic Pathology and Cytology.. PubMed Central. 274–281. 1 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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