Peter H. Ditto

16.4k total citations · 6 hit papers
98 papers, 8.8k citations indexed

About

Peter H. Ditto is a scholar working on Sociology and Political Science, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Peter H. Ditto has authored 98 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Sociology and Political Science, 35 papers in Cognitive Neuroscience and 21 papers in Social Psychology. Recurrent topics in Peter H. Ditto's work include Psychology of Moral and Emotional Judgment (34 papers), Social and Intergroup Psychology (30 papers) and Palliative Care and End-of-Life Issues (16 papers). Peter H. Ditto is often cited by papers focused on Psychology of Moral and Emotional Judgment (34 papers), Social and Intergroup Psychology (30 papers) and Palliative Care and End-of-Life Issues (16 papers). Peter H. Ditto collaborates with scholars based in United States, Canada and United Kingdom. Peter H. Ditto's co-authors include Jesse Graham, Spassena Koleva, Ravi Iyer, David F. Lopez, Jonathan Haidt, Brian A. Nosek, Joseph H. Danks, John B. Jemmott, William D. Smucker and Geoffrey D. Munro and has published in prestigious journals such as Science, Journal of Personality and Social Psychology and PLoS ONE.

In The Last Decade

Peter H. Ditto

97 papers receiving 8.3k citations

Hit Papers

Mapping the moral domain. 1992 2026 2003 2014 2011 1992 2020 2012 2012 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter H. Ditto 4.4k 2.7k 2.5k 1.4k 1.0k 98 8.8k
B. Keith Payne 5.5k 1.3× 2.4k 0.9× 3.6k 1.4× 460 0.3× 716 0.7× 104 9.5k
Laurie A. Rudman 7.7k 1.8× 946 0.3× 3.5k 1.4× 361 0.3× 516 0.5× 76 12.6k
Chris G. Sibley 10.1k 2.3× 1.4k 0.5× 6.8k 2.7× 445 0.3× 803 0.8× 440 15.9k
David K. Sherman 4.1k 0.9× 804 0.3× 4.3k 1.7× 293 0.2× 727 0.7× 113 9.4k
Clark McCauley 3.6k 0.8× 1.8k 0.7× 2.5k 1.0× 214 0.2× 398 0.4× 141 7.2k
Joachim I. Krueger 3.8k 0.9× 1.3k 0.5× 3.5k 1.4× 171 0.1× 413 0.4× 175 8.7k
Ronnie Janoff‐Bulman 3.4k 0.8× 1.1k 0.4× 4.2k 1.7× 362 0.3× 1.3k 1.2× 63 10.7k
James Price Dillard 4.3k 1.0× 479 0.2× 2.8k 1.1× 216 0.2× 418 0.4× 130 8.9k
Gordon B. Moskowitz 3.2k 0.7× 1.2k 0.4× 2.6k 1.0× 209 0.1× 250 0.2× 65 5.8k
Deborah A. Prentice 3.1k 0.7× 660 0.2× 2.0k 0.8× 156 0.1× 410 0.4× 48 6.5k

Countries citing papers authored by Peter H. Ditto

Since Specialization
Citations

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

Fields of papers citing papers by Peter H. Ditto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter H. Ditto. 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 Peter H. Ditto. The network helps show where Peter H. Ditto may publish in the future.

Co-authorship network of co-authors of Peter H. Ditto

This figure shows the co-authorship network connecting the top 25 collaborators of Peter H. Ditto. A scholar is included among the top collaborators of Peter H. Ditto 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 Peter H. Ditto. Peter H. Ditto 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.
Holman, E. Alison, et al.. (2023). Politicization of a Pathogen: A Prospective Longitudinal Study of COVID‐19 Responses in a Nationally Representative U.S. Sample. Political Psychology. 44(6). 1193–1213. 5 indexed citations
2.
Grady, Rebecca Hofstein, et al.. (2023). From primary to presidency: Fake news, false memory, and changing attitudes in the 2016 election. Journal of Social and Political Psychology. 11(1). 6–24. 2 indexed citations
3.
Celniker, Jared, et al.. (2022). The moralization of effort.. Journal of Experimental Psychology General. 152(1). 60–79. 25 indexed citations
4.
Grady, Rebecca Hofstein, Peter H. Ditto, & Elizabeth F. Loftus. (2021). Nevertheless, partisanship persisted: fake news warnings help briefly, but bias returns with time. Cognitive Research Principles and Implications. 6(1). 52–52. 29 indexed citations
5.
Dent, Amy L., et al.. (2020). Influencing Climate Change Attitudes in the United States: A Systematic Review and Meta-Analysis. OSF Preprints (OSF Preprints). 1 indexed citations
6.
Everett, Jim A. C., Connie J. Clark, Peter Meindl, et al.. (2020). Political differences in free will belief are associated with differences in moralization.. Journal of Personality and Social Psychology. 120(2). 461–483. 32 indexed citations
7.
Everett, Jim A. C., Connie J. Clark, Peter Meindl, et al.. (2019). Political differences in free will belief are driven by differences in moralization. PsyArXiv (OSF Preprints). 2 indexed citations
8.
Ditto, Peter H., et al.. (2019). The moralization of obesity. Social Science & Medicine. 237. 112399–112399. 49 indexed citations
9.
Clark, Connie J., et al.. (2018). Are morally good actions ever free?. Consciousness and Cognition. 63. 161–182. 9 indexed citations
10.
Ditto, Peter H., et al.. (2017). Partisan selective exposure: The role of party, ideology and ideological extremity over time.. Translational Issues in Psychological Science. 3(3). 254–271. 2 indexed citations
11.
Clark, Connie J., Roy F. Baumeister, & Peter H. Ditto. (2017). Making punishment palatable: Belief in free will alleviates punitive distress. Consciousness and Cognition. 51. 193–211. 32 indexed citations
12.
Clark, Connie J., Jamie B. Luguri, Peter H. Ditto, et al.. (2014). Free to punish: A motivated account of free will belief.. Journal of Personality and Social Psychology. 106(4). 501–513. 107 indexed citations
13.
Wojcik, Sean P. & Peter H. Ditto. (2014). Motivated Happiness: Self-Enhancement Inflates Self-Reported Subjective Well-Being. SSRN Electronic Journal. 3 indexed citations
14.
Glenn, Andrea L., Spassena Koleva, Ravi Iyer, Jesse Graham, & Peter H. Ditto. (2010). Moral identity in psychopathy. Judgment and Decision Making. 5(7). 497–505. 110 indexed citations
15.
Uhlmann, Eric Luis, David A. Pizarro, David Tannenbaum, & Peter H. Ditto. (2009). The motivated use of moral principles. Judgment and Decision Making. 4(6). 479–491. 147 indexed citations
16.
Coppola, Kristen M., Peter H. Ditto, Joseph H. Danks, & William D. Smucker. (2001). Accuracy of Primary Care and Hospital-Based Physicians' Predictions of Elderly Outpatients' Treatment Preferences With and Without Advance Directives. Archives of Internal Medicine. 161(3). 431–431. 143 indexed citations
17.
Smucker, William D., Renate Houts, Joseph H. Danks, et al.. (2000). Modal Preferences Predict Elderly Patients' Life-sustaining Treatment Choices as Well as Patients' Chosen Surrogates Do. Medical Decision Making. 20(3). 271–280. 43 indexed citations
18.
Ditto, Peter H., Jennifer A. Druley, Kate Moore, Joseph H. Danks, & William D. Smucker. (1996). Fates worse than death: The role of valued life activities in health-state evaluations.. Health Psychology. 15(5). 332–343. 103 indexed citations
19.
Croyle, Robert T. & Peter H. Ditto. (1990). Illness cognition and behavior: An experimental approach. Journal of Behavioral Medicine. 13(1). 31–52. 58 indexed citations
20.
Jemmott, John B., Robert T. Croyle, & Peter H. Ditto. (1988). Commonsense epidemiology: Self-based judgments from laypersons and physicians.. Health Psychology. 7(1). 55–73. 40 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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