David S. March

526 total citations
26 papers, 188 citations indexed

About

David S. March is a scholar working on Sociology and Political Science, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, David S. March has authored 26 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 13 papers in Social Psychology and 12 papers in Cognitive Neuroscience. Recurrent topics in David S. March's work include Social and Intergroup Psychology (15 papers), Psychology of Moral and Emotional Judgment (10 papers) and Cultural Differences and Values (8 papers). David S. March is often cited by papers focused on Social and Intergroup Psychology (15 papers), Psychology of Moral and Emotional Judgment (10 papers) and Cultural Differences and Values (8 papers). David S. March collaborates with scholars based in United States and Hungary. David S. March's co-authors include Michael A. Olson, Lowell Gaertner, Reiko Graham, Russell H. Fázio, James K. McNulty, Thomas E. Joiner, Megan L. Rogers, Andrea L. Meltzer, Nicholas P. Allan and Kevin G. Saulnier and has published in prestigious journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and Psychological Review.

In The Last Decade

David S. March

24 papers receiving 180 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 S. March United States 8 93 84 67 44 31 26 188
Thomas Strandberg Sweden 6 76 0.8× 116 1.4× 55 0.8× 18 0.4× 13 0.4× 8 217
Luisa Batalha Australia 7 102 1.1× 61 0.7× 89 1.3× 36 0.8× 49 1.6× 12 236
Jeroen M. van Baar United States 7 70 0.8× 122 1.5× 57 0.9× 46 1.0× 18 0.6× 10 206
Hans‐Ferdinand Angel Austria 10 48 0.5× 120 1.4× 107 1.6× 30 0.7× 41 1.3× 27 260
Ashwini Ashokkumar United States 6 83 0.9× 54 0.6× 74 1.1× 23 0.5× 18 0.6× 9 157
Cláudia Simão Portugal 8 126 1.4× 56 0.7× 95 1.4× 21 0.5× 31 1.0× 23 238
Christine L. Ruva United States 9 81 0.9× 84 1.0× 105 1.6× 18 0.4× 26 0.8× 19 242
Christopher L. Suhler United States 5 78 0.8× 129 1.5× 104 1.6× 48 1.1× 18 0.6× 8 240
Müjde Peker Türkiye 6 107 1.2× 46 0.5× 81 1.2× 17 0.4× 47 1.5× 11 171
Panos Paris United Kingdom 8 40 0.4× 96 1.1× 62 0.9× 17 0.4× 13 0.4× 13 218

Countries citing papers authored by David S. March

Since Specialization
Citations

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

Fields of papers citing papers by David S. March

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. March. 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 S. March. The network helps show where David S. March may publish in the future.

Co-authorship network of co-authors of David S. March

This figure shows the co-authorship network connecting the top 25 collaborators of David S. March. A scholar is included among the top collaborators of David S. March 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 S. March. David S. March 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.
March, David S.. (2024). Ignorance Is Not Bliss: On Issues Measuring the Awareness of Suboptimal Stimuli. Social Cognition. 42(1). 27–60.
2.
March, David S., et al.. (2024). The threat sensitivity scale: A brief self-report measure of dispositional sensitivity toward perceiving threats to physical harm. Scientific Reports. 14(1). 11304–11304. 1 indexed citations
3.
March, David S., et al.. (2023). Leveraging impression management motives to increase the use of face masks. The Journal of Social Psychology. 164(6). 930–946. 1 indexed citations
4.
Maranges, Heather M., et al.. (2023). The unique roles of threat perception and misinformation accuracy judgments in the relationship between political orientation and COVID‐19 health behaviors. Journal of Applied Social Psychology. 53(6). 508–518. 3 indexed citations
5.
Zsidó, András N., et al.. (2023). Threatening stimuli have differential effects on movement preparation and execution—A study on snake fear. People and Nature. 6(3). 973–986. 6 indexed citations
6.
March, David S., et al.. (2023). The civilian’s dilemma: Civilians exhibit automatic defensive responses to the police.. Journal of Personality and Social Psychology. 126(5). 841–851. 1 indexed citations
7.
March, David S., Lowell Gaertner, & Michael A. Olson. (2022). On the Automatic Nature of Threat: Physiological and Evaluative Reactions to Survival-Threats Outside Conscious Perception. Affective Science. 3(1). 135–144. 7 indexed citations
8.
March, David S.. (2022). Perceiving a Danger Within: Black Americans Associate Black Men With Physical Threat. Social Psychological and Personality Science. 14(8). 942–951. 4 indexed citations
9.
Schmidt, Norman B., Alex Martin, Nicholas P. Allan, et al.. (2021). Actual versus perceived infection rates of COVID-19: Impact on distress, behavior and disability. Journal of Psychiatric Research. 137. 525–533. 5 indexed citations
10.
March, David S. & Lowell Gaertner. (2021). A method for estimating the time of initiating correct categorization in mouse-tracking. Behavior Research Methods. 53(6). 2439–2449. 5 indexed citations
11.
March, David S., et al.. (2021). White civilians’ implicit danger evaluation of police officers underlies explicit perception of police. Cognitive Research Principles and Implications. 6(1). 81–81. 1 indexed citations
12.
Olson, Michael A., et al.. (2021). Automatic and controlled antecedents of suicidal ideation and action: A dual-process conceptualization of suicidality.. Psychological Review. 129(2). 388–414. 18 indexed citations
13.
March, David S., Lowell Gaertner, & Michael A. Olson. (2021). Danger or dislike: Distinguishing threat from negative valence as sources of automatic anti-Black bias.. Journal of Personality and Social Psychology. 121(5). 984–1004. 13 indexed citations
14.
March, David S., et al.. (2019). I Know (What) You Are, But What Am I? The Effect of Recategorization Threat and Perceived Immutability on Prejudice. Personality and Social Psychology Bulletin. 46(1). 94–108. 5 indexed citations
15.
March, David S., Lowell Gaertner, & Michael A. Olson. (2018). Clarifying the Explanatory Scope of the Dual Implicit Process Model. Psychological Inquiry. 29(1). 38–43. 7 indexed citations
16.
March, David S., Michael A. Olson, & Lowell Gaertner. (2018). On Logical and Mathematical Boxes: Does the Attitudinal Entropy Framework Expand Our Understanding of Attitudes?. Psychological Inquiry. 29(4). 196–199. 2 indexed citations
17.
March, David S., et al.. (2018). The Implicit Misattribution Model of Evaluative Conditioning. SHILAP Revista de lepidopterología. 13(3). 20 indexed citations
18.
March, David S., Lowell Gaertner, & Michael A. Olson. (2017). In Harm’s Way: On Preferential Response to Threatening Stimuli. Personality and Social Psychology Bulletin. 43(11). 1519–1529. 31 indexed citations
19.
Meltzer, Andrea L., et al.. (2016). Strangers With Benefits. Personality and Social Psychology Bulletin. 43(2). 204–217. 6 indexed citations
20.
March, David S.. (2005). The Relationship Between Self-disclosure, Self-efficacy, And The Supervisory Working Alliance Of Counselor Education Practicum A. Journal of International Crisis and Risk Communication Research.

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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