Michael R. Winograd

517 citations
9 papers · 325 indexed · h-index 7
Topics
Deception detection and forensic psychology (7 papers)Psychopathy, Forensic Psychiatry, Sexual Offending (5 papers)Adversarial Robustness in Machine Learning (4 papers)

In The Last Decade

Michael R. Winograd

9 papers receiving 305 citations

Peers

Michael R. Winograd
Comparison fields: 5 of 25
  • Social Psychology 303
  • Cognitive Neuroscience 218
  • Artificial Intelligence 141
  • Clinical Psychology 120
  • Sociology and Political Science 23
Replace Elena Labkovsky with:
Elena Labkovsky United States
Dawn R. Weatherford United States
Florian Sense Netherlands
Travis M. Seale‐Carlisle United Kingdom
Katarzyna Zawadzka United Kingdom
Oliver Kliegl Germany
Nathaniel L. Foster United States
Liang Luo China
Evelyn P. Altenberg United States
Kalif E. Vaughn United States
Michael R. Winograd relative to Elena Labkovsky United States Elena Labkovsky's profile →
Citations per field
00.5×1.5×
Elena Labkovsky · 1×
Citations per year

Countries citing papers authored by Michael R. Winograd

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Winograd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Winograd

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Winograd. A scholar is included among the top collaborators of Michael R. Winograd 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 R. Winograd. Michael R. Winograd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 20
2 6
3 69
4 2
5 33
6 18
7 40
8 135
9 2

About Michael R. Winograd

Michael R. Winograd is a scholar working on Social Psychology, Clinical Psychology and Cognitive Neuroscience, having authored 9 papers that have together received 325 indexed citations. Recurring topics across this work include Deception detection and forensic psychology (7 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (5 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Social Psychology (303 citations), Cognitive Neuroscience (218 citations) and Clinical Psychology (120 citations). Michael R. Winograd has collaborated with scholars based in United States, Belgium and Philippines. Frequent co-authors include J. Peter Rosenfeld, Elena Labkovsky, Ming Lui, John B. Meixner, Xiaoqing Hu, Bruno Verschuère, Mónica Tang, Timothy M. Ullmann, Alexander W. Sokolovsky and Jan R. Wiersema. Their work appears in journals such as Psychophysiology, Physiology & Behavior and International Journal of Psychophysiology.

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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