Scott Friedman
Impact in
- Transplantation top 10%
Papers in
-
- AI-based Problem Solving and Planning 10
- Topic Modeling 6
- Cognitive Science and Mapping 4
- Semantic Web and Ontologies 3
- Advanced Text Analysis Techniques 3
- Co-authors
- Bruce W. Andrus (2 shared papers)Kenneth D. Forbus (10 shared papers)Robert T. Palac (7 shared papers)Thrasyvoulos N. Pappas (1 shared paper)Bryan Pardo (1 shared paper)Alan Kono (2 shared papers)Mark Greenberg (1 shared paper)Michael Chobanian (1 shared paper)
- Journals
- Cognitive Science (3 papers)Circulation (2 papers)Journal of the American College of Cardiology (2 papers)Journal of Racial and Ethnic Health Disparities (1 paper)Pacing and Clinical Electrophysiology (1 paper)
- Partner nations
- United StatesPhilippinesSouth Sudan
In The Last Decade
Scott Friedman
45 papers receiving 465 citations
Peers
Comparison fields: 5 of 107
- Transplantation 18
- Health Informatics 9
- Cardiology and Cardiovascular Medicine 116
- Computer Vision and Pattern Recognition 86
- Artificial Intelligence 131
Countries citing papers authored by Scott Friedman
This map shows the geographic impact of Scott Friedman'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 Scott Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Friedman more than expected).
Fields of papers citing papers by Scott Friedman
This network shows the impact of papers produced by Scott Friedman. 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 Scott Friedman. The network helps show where Scott Friedman may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Friedman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 88 | |
| 2 | 2009 | 77 | |
| 3 | 2015 | 58 | |
| 4 | 2011 | 41 | |
| 5 | 2017 | 27 | |
| 6 | 2015 | 24 | |
| 7 | 2019 | 17 | |
| 8 | Learning concepts from sketches via analogical generalization and near-misses | 2010 | 16 |
| 9 | 2010 | 15 | |
| 10 | 2019 | 12 | |
| 11 | 2017 | 10 | |
| 12 | 2010 | 10 | |
| 13 | Modeling structural priming in sentence production via analogical processes | 2011 | 9 |
| 14 | Edge-cycles: A qualitative sketch representation to support recognition | 2011 | 9 |
| 15 | 2017 | 8 | |
| 16 | 2013 | 8 | |
| 17 | 2013 | 8 | |
| 18 | 2021 | 7 | |
| 19 | Constructing and Revising Commonsense Science Explanations: A Metareasoning Approach | 2011 | 6 |
| 20 | Learning Naïve Physics Models and Misconceptions | 2009 | 6 |
About Scott Friedman
Scott Friedman is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Signal Processing, Computer Networks and Communications and Sociology and Political Science, having authored 51 papers that have together received 533 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (10 papers), Topic Modeling (6 papers), Advanced Malware Detection Techniques (5 papers), Cognitive Science and Mapping (4 papers), Semantic Web and Ontologies (3 papers), Software Testing and Debugging Techniques (3 papers), Pulmonary Hypertension Research and Treatments (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Transplantation (18 citations), Health Informatics (9 citations), Cardiology and Cardiovascular Medicine (116 citations), Computer Vision and Pattern Recognition (86 citations) and Artificial Intelligence (131 citations). Scott Friedman has collaborated with scholars based in United States, Philippines and South Sudan. Frequent co-authors include Bruce W. Andrus, Kenneth D. Forbus, Robert T. Palac, Thrasyvoulos N. Pappas, Bryan Pardo, Alan Kono, Mark Greenberg, Michael Chobanian, Salvatore P. Costa and David M. Zlotnick. Their work appears in journals such as Cognitive Science, Circulation, Journal of the American College of Cardiology, Journal of Racial and Ethnic Health Disparities and Pacing and Clinical Electrophysiology.
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.