Michael Freed

1.4k total citations
58 papers, 621 citations indexed

About

Michael Freed is a scholar working on Social Psychology, Artificial Intelligence and Clinical Psychology. According to data from OpenAlex, Michael Freed has authored 58 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Social Psychology, 13 papers in Artificial Intelligence and 12 papers in Clinical Psychology. Recurrent topics in Michael Freed's work include Posttraumatic Stress Disorder Research (11 papers), Human-Automation Interaction and Safety (11 papers) and AI-based Problem Solving and Planning (11 papers). Michael Freed is often cited by papers focused on Posttraumatic Stress Disorder Research (11 papers), Human-Automation Interaction and Safety (11 papers) and AI-based Problem Solving and Planning (11 papers). Michael Freed collaborates with scholars based in United States and Czechia. Michael Freed's co-authors include Charles C. Engel, Lawrence Birnbaum, Bruce Krulwich, Gregg Collins, Roger W. Remington, Kristie L. Gore, Michael Matessa, Bradley E. Belsher, Alonso Vera and Bonnie E. John and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and Journal of Affective Disorders.

In The Last Decade

Michael Freed

53 papers receiving 518 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 Freed United States 14 187 166 121 108 52 58 621
Patrick Kenny United States 14 79 0.4× 184 1.1× 145 1.2× 47 0.4× 26 0.5× 36 664
Mehdi Boukhechba United States 17 134 0.7× 106 0.6× 116 1.0× 69 0.6× 20 0.4× 77 884
Krešimir Ćosić Croatia 14 205 1.1× 57 0.3× 150 1.2× 41 0.4× 15 0.3× 47 639
Michael Gillam United States 18 78 0.4× 67 0.4× 32 0.3× 58 0.5× 72 1.4× 51 847
Sandy H. Huang United States 11 457 2.4× 172 1.0× 129 1.1× 96 0.9× 69 1.3× 16 890
Éric Raufaste France 16 122 0.7× 104 0.6× 287 2.4× 46 0.4× 8 0.2× 44 921
Sofiane Hamrioui France 12 62 0.3× 118 0.7× 130 1.1× 48 0.4× 21 0.4× 37 630
Wenhao Zhang China 8 160 0.9× 33 0.2× 87 0.7× 23 0.2× 77 1.5× 35 681
Satinder Singh United States 13 29 0.2× 227 1.4× 23 0.2× 57 0.5× 89 1.7× 35 584
Scott D. Wood United States 10 33 0.2× 101 0.6× 117 1.0× 26 0.2× 26 0.5× 23 504

Countries citing papers authored by Michael Freed

Since Specialization
Citations

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

Fields of papers citing papers by Michael Freed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Freed

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Freed. A scholar is included among the top collaborators of Michael Freed 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 Freed. Michael Freed 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.
Humensky, Jennifer, Michael Freed, Agnes Rupp, Rachel Smith, & Patricia A. Areán. (2025). Managed Care in Mental Health Care. Medical Care. 63(5). 334–337.
2.
Belsher, Bradley E., Daniel P. Evatt, Michael Freed, et al.. (2018). Collaborative Care for Depression and Posttraumatic Stress Disorder: Evaluation of Collaborative Care Fidelity on Symptom Trajectories and Outcomes. Journal of General Internal Medicine. 33(7). 1124–1130. 3 indexed citations
3.
Freed, Michael, Jaime G. Carbonell, Geoff Gordon, et al.. (2018). RADAR: A Personal Assistant that Learns to Reduce Email Overload. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1287–1293. 10 indexed citations
4.
Freed, Michael, et al.. (2016). Rescaling the Post-Traumatic Stress Disorder Checklist for Use in Primary Care. Military Medicine. 181(9). 1002–1006. 4 indexed citations
5.
Engel, Charles C., Robert M. Bray, Lisa H. Jaycox, et al.. (2014). Implementing collaborative primary care for depression and posttraumatic stress disorder: Design and sample for a randomized trial in the U.S. military health system. Contemporary Clinical Trials. 39(2). 310–319. 31 indexed citations
6.
Engel, Charles C., David M. Benedek, Xian Liu, et al.. (2014). Randomized Effectiveness Trial of a Brief Course of Acupuncture for Posttraumatic Stress Disorder. Medical Care. 52(Supplement 5). S57–S64. 39 indexed citations
7.
Gore, Kristie L., et al.. (2013). Operating characteristics of the PTSD Checklist in a military primary care setting.. Psychological Assessment. 25(3). 1032–1036. 20 indexed citations
8.
Freed, Michael, et al.. (2011). Interactive bootstrapped learning for end-user programming. National Conference on Artificial Intelligence. 27–32. 2 indexed citations
9.
Yates, Brian T., et al.. (2011). Consumer-operated service programs: Monetary and donated costs and cost-effectiveness.. Psychiatric Rehabilitation Journal. 35(2). 91–99. 6 indexed citations
10.
Freed, Michael, Derik Yeager, Xian Liu, et al.. (2009). Preference-Weighted Health Status of PTSD Among Veterans: An Outcome for Cost-Effectiveness Analysis Using Clinical Data. Psychiatric Services. 60(9). 1230–1238. 9 indexed citations
11.
Freed, Michael, Kelly J. Rohan, & Brian T. Yates. (2006). Estimating health utilities and quality adjusted life years in seasonal affective disorder research. Journal of Affective Disorders. 100(1-3). 83–89. 4 indexed citations
12.
Freed, Michael, Robert N. Harris, & Michael Shafto. (2004). Comparing methods for UAV-based autonomous surveillance. National Conference on Artificial Intelligence. 5 indexed citations
13.
Zhang, Jiajie, Vimla L. Patel, Edward H. Shortliffe, Michael Freed, & Roger W. Remington. (2000). The Nature of Human Errors: An Emerging Interdisciplinary Perspective. eScholarship (California Digital Library). 22(22). 1 indexed citations
14.
Freed, Michael. (2000). Simulating human agents : papers from the 2000 AAAI Fall Symposium, November 3-5, North Falmouth, Massachusetts. 1 indexed citations
15.
Freed, Michael. (1998). Managing multiple tasks in complex, dynamic environments. National Conference on Artificial Intelligence. 921–927. 47 indexed citations
16.
Freed, Michael & Roger W. Remington. (1997). Managing decision resources in plan execution. International Joint Conference on Artificial Intelligence. 322–326. 7 indexed citations
17.
Freed, Michael & Gregg Collins. (1994). Adapting routines to improve task coordination. 255–260. 4 indexed citations
18.
Cox, Michael T. & Michael Freed. (1994). Using Knowledge of Cognitive Behavior to Learn from Failure. 3 indexed citations
19.
Collins, Gregg, Lawrence Birnbaum, Bruce Krulwich, & Michael Freed. (1991). Plan debugging in an intentional system. International Joint Conference on Artificial Intelligence. 353–358. 8 indexed citations
20.
Birnbaum, Lawrence, Gregg Collins, Michael Freed, & Bruce Krulwich. (1990). Model-based diagnosis of planning failures. National Conference on Artificial Intelligence. 318–323. 52 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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