Don Ross

5.9k total citations · 2 hit papers
149 papers, 3.3k citations indexed

About

Don Ross is a scholar working on Economics and Econometrics, Cellular and Molecular Neuroscience and General Decision Sciences. According to data from OpenAlex, Don Ross has authored 149 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Economics and Econometrics, 22 papers in Cellular and Molecular Neuroscience and 21 papers in General Decision Sciences. Recurrent topics in Don Ross's work include Neuroscience and Neuropharmacology Research (21 papers), Decision-Making and Behavioral Economics (21 papers) and Experimental Behavioral Economics Studies (20 papers). Don Ross is often cited by papers focused on Neuroscience and Neuropharmacology Research (21 papers), Decision-Making and Behavioral Economics (21 papers) and Experimental Behavioral Economics Studies (20 papers). Don Ross collaborates with scholars based in United States, South Africa and Ireland. Don Ross's co-authors include James Ladyman, H. Lee Cardenas, Glenn W. Harrison, David Spurrett, J.W. Schultze, M.M. Lohrengel, Chandrashekhar R. Gandhi, Carla Sharp, Andre Hofmeyr and D. R. Gabe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Don Ross

137 papers receiving 3.0k citations

Hit Papers

Every Thing Must Go 2007 2026 2013 2019 2007 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Don Ross United States 27 825 511 442 417 385 149 3.3k
Carl F. Craver United States 29 2.8k 3.5× 929 1.8× 1.2k 2.7× 175 0.4× 166 0.4× 62 5.7k
William Bechtel United States 34 2.0k 2.5× 718 1.4× 1.0k 2.3× 119 0.3× 83 0.2× 151 4.9k
James Woodward United States 29 2.0k 2.5× 669 1.3× 470 1.1× 20 0.0× 174 0.5× 80 3.7k
Christopher Cherniak United States 15 152 0.2× 438 0.9× 95 0.2× 173 0.4× 284 0.7× 26 4.0k
Lindley Darden United States 17 1.9k 2.3× 283 0.6× 870 2.0× 53 0.1× 106 0.3× 37 3.3k
Peter Machamer United States 13 1.2k 1.4× 260 0.5× 405 0.9× 33 0.1× 94 0.2× 51 2.2k
Paul M. Churchland United States 29 1.3k 1.6× 1.8k 3.5× 84 0.2× 50 0.1× 96 0.2× 89 5.1k
R. I. G. Hughes United Kingdom 20 594 0.7× 77 0.2× 323 0.7× 106 0.3× 116 0.3× 98 2.2k
John R. Platt United States 29 109 0.1× 268 0.5× 368 0.8× 253 0.6× 58 0.2× 102 5.0k
Nick Bostrom United Kingdom 27 205 0.2× 166 0.3× 82 0.2× 51 0.1× 90 0.2× 66 3.5k

Countries citing papers authored by Don Ross

Since Specialization
Citations

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

Fields of papers citing papers by Don Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Don Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Don Ross. A scholar is included among the top collaborators of Don Ross 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 Don Ross. Don Ross 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.
Ross, Don, Wynn C. Stirling, & Luca Tummolini. (2024). Modeling Norm-Governed Communities with Conditional Games: Sociological Game-Determination and Economic Equilibria. OEconomia. 14-2. 349–398. 1 indexed citations
2.
Harrison, Glenn W. & Don Ross. (2023). Models of Risk Preferences: Descriptive and Normative Challenges. 10 indexed citations
3.
Ross, Don. (2023). Scientific metaphysics and social science. Synthese. 202(5). 1 indexed citations
4.
Harrison, Glenn W., et al.. (2022). Subjective beliefs and economic preferences during the COVID-19 pandemic. Experimental Economics. 25(3). 795–823. 23 indexed citations
5.
Harrison, Glenn W., et al.. (2021). A case study of an experiment during the COVID-19 pandemic: online elicitation of subjective beliefs and economic preferences. RePEc: Research Papers in Economics. 7(2). 194–209. 1 indexed citations
6.
Ross, Don. (2019). Consciousness, language, and the possibility of non-human personhood: reflections on elephants. Journal of Consciousness Studies. 26. 227–251. 5 indexed citations
7.
Harrison, Glenn W., Morten I. Lau, & Don Ross. (2019). The Risk of Gambling Problems in the General Population: A Reconsideration. Journal of Gambling Studies. 36(4). 1133–1159. 13 indexed citations
8.
Harrison, Glenn W., et al.. (2017). Disordered Gambling Prevalence: Methodological Innovations in a General Danish Population Survey. Journal of Gambling Studies. 34(1). 225–253. 12 indexed citations
9.
Spurrett, David, et al.. (2012). Gambling Participation and Problem Gambling Severity among Rural and Peri-Urban Poor South African Adults in KwaZulu-Natal. Journal of Gambling Studies. 29(3). 417–433. 19 indexed citations
10.
Kincaid, Harold, Reza Che Daniels, Andre Hofmeyr, et al.. (2012). A Taxometric Analysis of Problem Gambling Data from a South African National Urban Sample. Journal of Gambling Studies. 29(3). 377–392. 12 indexed citations
11.
Ross, Don, Carla Sharp, Rudy E. Vuchinich, & David Spurrett. (2008). Midbrain Mutiny: The Picoeconomics and Neuroeconomics of Disordered Gambling: Economic Theory and Cognitive Science. RePEc: Research Papers in Economics. 1. 6 indexed citations
12.
Ross, Don. (2007). Economic Theory and Cognitive Science: Microexplanation. RePEc: Research Papers in Economics. 1. 68 indexed citations
13.
Ross, Don, et al.. (2007). Distributed Cognition and the Will: Individual Volition and Social Context. MIT Press eBooks. 33 indexed citations
14.
Ross, Don, et al.. (2005). Development dilemmas : the methods and political ethics of growth policy. Routledge eBooks. 9 indexed citations
15.
Ross, Don & David Spurrett. (2004). What to say to a skeptical metaphysician: A defense manual for cognitive and behavioral scientists. Behavioral and Brain Sciences. 27(5). 603–627. 37 indexed citations
16.
Ross, Don. (1999). What people want : the concept of utility from Bentham to game theory. 12 indexed citations
17.
Ross, Don. (1995). Minimal Strong Functionalism. Journal of Philosophical Research. 20. 237–268.
18.
Gandhi, Chandrashekhar R. & Don Ross. (1989). Microwave induced stimulation of32Pi incorporation into phosphoinositides of rat brain synaptosomes. Radiation and Environmental Biophysics. 28(3). 223–234. 14 indexed citations
19.
Ross, Don, et al.. (1988). Regional and Subcellular Distribution of [3H]Nitrendipine Binding Sites in SHR and WKY Rats. Journal of Cardiovascular Pharmacology. 12. S94–S97. 7 indexed citations
20.
Ross, Don, et al.. (1987). A novel kappa agonist inhibits [3H]nimodipine binding to a Ca++ channel receptor protein in rat brain. Biochemical and Biophysical Research Communications. 149(3). 1042–1048. 11 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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