Michael E. Doherty

404 total citations
26 papers, 278 citations indexed

About

Michael E. Doherty is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Michael E. Doherty has authored 26 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 9 papers in Experimental and Cognitive Psychology and 4 papers in Social Psychology. Recurrent topics in Michael E. Doherty's work include Visual perception and processing mechanisms (10 papers), Visual and Cognitive Learning Processes (5 papers) and Aesthetic Perception and Analysis (3 papers). Michael E. Doherty is often cited by papers focused on Visual perception and processing mechanisms (10 papers), Visual and Cognitive Learning Processes (5 papers) and Aesthetic Perception and Analysis (3 papers). Michael E. Doherty collaborates with scholars based in United States. Michael E. Doherty's co-authors include Stuart M. Keeley, Patricia C. Smith, Olin W. Smith, Dale S. Klopfer, Kenneth M. Shemberg, Patrick H. Raymark, Karen Warren, Thomas G. Tape, William K. Balzer and Ryan D. Tweney and has published in prestigious journals such as Psychological Bulletin, PLoS ONE and Psychological Review.

In The Last Decade

Michael E. Doherty

22 papers receiving 238 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 E. Doherty United States 9 80 57 49 34 31 26 278
Dan Lehman United States 5 74 0.9× 26 0.5× 69 1.4× 64 1.9× 22 0.7× 5 362
Raymond F. Sletto 4 28 0.3× 44 0.8× 95 1.9× 50 1.5× 64 2.1× 5 508
Frederick J. Todd United States 9 51 0.6× 57 1.0× 65 1.3× 145 4.3× 99 3.2× 11 527
Nancy Wiggins United States 10 12 0.1× 114 2.0× 42 0.9× 54 1.6× 99 3.2× 20 420
Tse-Chi Hsu United States 9 19 0.2× 44 0.8× 51 1.0× 9 0.3× 41 1.3× 23 436
John Ciardi Netherlands 6 24 0.3× 19 0.3× 37 0.8× 11 0.3× 15 0.5× 16 243
Brian R. Taylor India 5 55 0.7× 28 0.5× 69 1.4× 70 2.1× 67 2.2× 9 237
Valerie Thompson United States 12 80 1.0× 20 0.4× 69 1.4× 97 2.9× 22 0.7× 36 397
Rebecca Wilkinson United Kingdom 5 47 0.6× 56 1.0× 36 0.7× 38 1.1× 48 1.5× 10 299
Jeffrey A. Slinde United States 8 21 0.3× 73 1.3× 27 0.6× 5 0.1× 41 1.3× 9 472

Countries citing papers authored by Michael E. Doherty

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael E. Doherty

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Doherty. A scholar is included among the top collaborators of Michael E. Doherty 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 E. Doherty. Michael E. Doherty 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.
Doherty, Michael E., et al.. (2019). Use of high-content analysis and machine learning to characterize complex microbial samples via morphological analysis. PLoS ONE. 14(9). e0222528–e0222528. 5 indexed citations
2.
Doherty, Michael E., Kenneth M. Shemberg, Richard B. Anderson, & Ryan D. Tweney. (2012). Exploring unexplained variation. Theory & Psychology. 23(1). 81–97. 4 indexed citations
3.
Raymark, Patrick H., William K. Balzer, Michael E. Doherty, et al.. (1995). Advance Directives. Medical Decision Making. 15(3). 217–226. 8 indexed citations
4.
Klopfer, Dale S. & Michael E. Doherty. (1992). The Janus Illusion. Teaching of Psychology. 19(1). 37–40. 4 indexed citations
5.
Doherty, Michael E., et al.. (1982). ‘Pseudodiagnosticity’ in an idealized medical problem-solving environment. Academic Medicine. 57(2). 100–4. 47 indexed citations
6.
Doherty, Michael E., et al.. (1979). The influence of negation and task complexity on illusory correlation.. Journal of Abnormal Psychology. 88(3). 334–337.
7.
Doherty, Michael E., et al.. (1978). Can we learn anything about interviewing real people from “interviews” of paper people? Two studies of the external validity of a paradigm. Organizational Behavior and Human Performance. 22(2). 165–192. 100 indexed citations
8.
Doherty, Michael E. & Kenneth M. Shemberg. (1977). Asking Questions About Behavior: An Introduction to What Psychologists Do. Medical Entomology and Zoology. 1 indexed citations
9.
Smith, Patricia C., et al.. (1974). The effect of memory color on form identification. Perception & Psychophysics. 16(1). 1–3. 11 indexed citations
10.
Doherty, Michael E., et al.. (1974). Visual masking by light offset: An experiment in reply to Hogben and DiLollo.. Journal of Experimental Psychology. 103(4). 815–816. 2 indexed citations
11.
Doherty, Michael E. & Stuart M. Keeley. (1973). Stimulus dimensionality and temporal repetition. Perception & Psychophysics. 13(1). 60–64.
12.
Keeley, Stuart M. & Michael E. Doherty. (1971). Probabilistic and multiple regression modeling of the biologist’s decision processes and its implications for medical diagnosis. Bulletin of Mathematical Biology. 33(3). 439–449. 3 indexed citations
13.
Doherty, Michael E., et al.. (1971). A test of the clarity interpretation of the repetition effect. Cognitive Psychology. 2(4). 386–399. 2 indexed citations
14.
Doherty, Michael E., et al.. (1971). Visual masking by light offset. Perception & Psychophysics. 10(5). 327–330. 8 indexed citations
15.
Keeley, Stuart M. & Michael E. Doherty. (1971). A Bayesian prediction of multiple-look identification performance from one-look data: The effect of unequal prior probabilities. Perception & Psychophysics. 10(2). 119–122. 7 indexed citations
16.
Keeley, Stuart M., et al.. (1970). A Bayesian prediction of four-look recognition performance from one-look data: II. Perception & Psychophysics. 7(4). 218–220. 14 indexed citations
17.
Doherty, Michael E. & Stuart M. Keeley. (1969). A Bayesian prediction of four-look recognition performance from one-look data. Perception & Psychophysics. 5(6). 362–364. 12 indexed citations
18.
Keeley, Stuart M. & Michael E. Doherty. (1969). A note on the parallel processing of single-featured forms. Perception & Psychophysics. 6(2). 81–82. 2 indexed citations
19.
Keeley, Stuart M. & Michael E. Doherty. (1968). Simultaneous and successive presentations of single-featured and multi-featured visual forms: Implications for the parallel processing hypothesis. Perception & Psychophysics. 4(5). 296–298. 14 indexed citations
20.
Doherty, Michael E.. (1966). Response bias and Murdock's D scale.. Psychological Bulletin. 66(4). 289–290. 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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