Michael D. Biderman

1.9k total citations
56 papers, 1.4k citations indexed

About

Michael D. Biderman is a scholar working on Clinical Psychology, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael D. Biderman has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Clinical Psychology, 13 papers in Social Psychology and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael D. Biderman's work include Personality Traits and Psychology (25 papers), Personality Disorders and Psychopathology (7 papers) and Cognitive Abilities and Testing (7 papers). Michael D. Biderman is often cited by papers focused on Personality Traits and Psychology (25 papers), Personality Disorders and Psychopathology (7 papers) and Cognitive Abilities and Testing (7 papers). Michael D. Biderman collaborates with scholars based in United States, Canada and Iran. Michael D. Biderman's co-authors include P. J. Watson, Nhung Nguyen, Donald D. Dorfman, Nima Ghorbani, Michael A. McDaniel, Christopher J. L. Cunningham, Patricia L. Lewis, Joseph B. Cofer, Samuel T. McAbee and Zhuo Job Chen and has published in prestigious journals such as Journal of Business Ethics, Personality and Individual Differences and Life Sciences.

In The Last Decade

Michael D. Biderman

55 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Biderman United States 19 771 466 239 228 136 56 1.4k
Benedikt Hell Germany 13 350 0.5× 467 1.0× 218 0.9× 549 2.4× 82 0.6× 49 1.4k
P. Alex Mabe United States 17 366 0.5× 352 0.8× 196 0.8× 174 0.8× 48 0.4× 43 1.4k
Siegfried Macho Switzerland 9 299 0.4× 533 1.1× 377 1.6× 151 0.7× 44 0.3× 15 1.1k
Silvia Moscoso Spain 17 332 0.4× 426 0.9× 209 0.9× 249 1.1× 123 0.9× 51 1.2k
Barbara A. Fritzsche United States 20 266 0.3× 330 0.7× 245 1.0× 216 0.9× 100 0.7× 35 1.2k
David J. Armor United States 20 392 0.5× 280 0.6× 466 1.9× 166 0.7× 77 0.6× 66 2.2k
Cheong Austria 4 290 0.4× 319 0.7× 309 1.3× 152 0.7× 50 0.4× 7 1.3k
Brian S. Connelly United States 19 985 1.3× 642 1.4× 481 2.0× 513 2.3× 115 0.8× 36 1.9k
Eva Traut‐Mattausch Austria 22 448 0.6× 472 1.0× 419 1.8× 398 1.7× 53 0.4× 56 1.8k
Shawn M. Bergman United States 18 367 0.5× 343 0.7× 473 2.0× 143 0.6× 69 0.5× 40 1.2k

Countries citing papers authored by Michael D. Biderman

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Biderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Biderman. 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 Michael D. Biderman. The network helps show where Michael D. Biderman may publish in the future.

Co-authorship network of co-authors of Michael D. Biderman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Biderman. A scholar is included among the top collaborators of Michael D. Biderman 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 Michael D. Biderman. Michael D. Biderman 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.
2.
Krammer, Georg, et al.. (2020). Using bifactor models to identify faking on Big Five questionnaires. International Journal of Selection and Assessment. 29(1). 81–99. 8 indexed citations
3.
Biderman, Michael D., et al.. (2018). Assessing the Evaluative Content of Personality Questionnaires Using Bifactor Models. Journal of Personality Assessment. 100(4). 375–388. 21 indexed citations
4.
Chen, Zhuo, P. J. Watson, Michael D. Biderman, & Nima Ghorbani. (2015). Investigating the Properties of the General Factor (M) in Bifactor Models Applied to Big Five or HEXACO Data in Terms of Method or Meaning. Imagination Cognition and Personality. 35(3). 216–243. 18 indexed citations
5.
Biderman, Michael D., Nhung Nguyen, Christopher J. L. Cunningham, Zhuo Chen, & P. J. Watson. (2013). Method factors, bifactors, and item valence. 1 indexed citations
6.
Biderman, Michael D., Nhung Nguyen, Christopher J. L. Cunningham, & Nima Ghorbani. (2011). The ubiquity of common method variance: The case of the Big Five. Journal of Research in Personality. 45(5). 417–429. 72 indexed citations
7.
Biderman, Michael D., et al.. (2011). The Relationship of Reliability and Validity of Personality Tests to Frame-of-Reference Instructions and Within-Person Inconsistency. International Journal of Selection and Assessment. 19(2). 119–131. 23 indexed citations
8.
Nguyen, Nhung & Michael D. Biderman. (2007). Studying Ethical Judgments and Behavioral Intentions Using Structural Equations: Evidence from the Multidimensional Ethics Scale*. Journal of Business Ethics. 83(4). 627–640. 71 indexed citations
9.
Biderman, Michael D.. (2007). Method Variance and Big Five Correlations. 1 indexed citations
10.
Allen, Richard S., Michael D. Biderman, & Charles S. White. (2004). Emotional Intelligence and Its Relation to Equity Sensitivity and Responses to Under-Reward Situations. Journal of Behavioral and Applied Management. 5(2). 114–136. 2 indexed citations
11.
Cofer, Joseph B., et al.. (2004). Is there declining interest in general surgery training?. Current Surgery. 61(2). 231–235. 40 indexed citations
12.
Cofer, Joseph B., Michael D. Biderman, Patricia L. Lewis, et al.. (2001). Is the quality of surgical residency applicants deteriorating?. The American Journal of Surgery. 181(1). 44–49. 44 indexed citations
13.
Biderman, Michael D., et al.. (2000). Responses of School Psychologists and Special Education Teachers to Administrative Pressures to Practice Unethically. Special Services in the Schools. 16(1-2). 111–134. 10 indexed citations
14.
Watson, P. J., et al.. (1996). Self-Reported Narcissism and Perceived Parental Permissiveness and Authoritarianism. The Journal of Genetic Psychology. 157(2). 227–238. 33 indexed citations
15.
Watson, P. J. & Michael D. Biderman. (1993). Narcissistic Personality Inventory Factors, Splitting, and Self-Consciousness. Journal of Personality Assessment. 61(1). 41–57. 126 indexed citations
16.
Watson, P. J., et al.. (1992). Narcissism and Object Relations. Psychological Reports. 71(3). 799–808. 7 indexed citations
17.
Biderman, Michael D., et al.. (1992). Narcissism and parenting styles.. Psychoanalytic Psychology. 9(2). 231–244. 1 indexed citations
18.
Watson, P. J., et al.. (1985). Variables related to body-weight status of mentally retarded adults.. PubMed. 90(1). 34–9. 9 indexed citations
19.
Watson, P. J., et al.. (1984). Glucoprivic responsivity after insulin in hypodipsic and in water deficit rats. Life Sciences. 34(7). 625–630. 4 indexed citations
20.
Watson, P. J., et al.. (1982). Body weight reduction prior to quinine adulteration of water: Interactive complexities in measures of ingestive behavior. Bulletin of the Psychonomic Society. 20(2). 97–100. 2 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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