Scott Friedman

41 papers receiving 407 citations

Peers

Scott Friedman
Comparison fields: 5 of 106
  • Transplantation 21
  • Health Informatics 10
  • Cardiology and Cardiovascular Medicine 138
  • Computer Vision and Pattern Recognition 69
  • Artificial Intelligence 105
Replace Sarah Hudson with:
Sarah Hudson United Kingdom
Tae Young Kim South Korea
Ghada Zamzmi United States
Rimma Perotte United States
Eva Pettersson Sweden
Lauren Ariniello United States
Mostafa A. Al‐Alusi United States
Felix Gräßer Germany
Edward Ramos United States
Vik Kheterpal United States
Scott Friedman relative to Sarah Hudson United Kingdom Sarah Hudson's profile →
Citations per field
00.5×5.3×
Sarah Hudson · 1×
Citations per year

Countries citing papers authored by Scott Friedman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Scott Friedman Line = papers co-authored together Scott Friedman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201281
2 200965
3 201556
4 201140
5 201725
6 201522
7
Learning concepts from sketches via analogical generalization and near-misses
201012
8 201012
9 201911
10 201010
11
Modeling structural priming in sentence production via analogical processes
20119
12 20179
13 20138
14
Edge-cycles: A qualitative sketch representation to support recognition
20118
15 20138
16 20178
17
Constructing and Revising Commonsense Science Explanations: A Metareasoning Approach
20116
18 20216
19
The Role of Positive Psychology in the Modern Medical Practice.
20166
20
Revising Domain Knowledge with Cross-Domain Analogy
20126

About Scott Friedman

Scott Friedman is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Signal Processing, General Health Professions and Sociology and Political Science, having authored 47 papers that have together received 472 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (8 papers), Topic Modeling (6 papers), Advanced Malware Detection Techniques (5 papers), Cognitive Science and Mapping (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Software Testing and Debugging Techniques (3 papers), Security and Verification in Computing (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Transplantation (21 citations), Health Informatics (10 citations), Cardiology and Cardiovascular Medicine (138 citations), Computer Vision and Pattern Recognition (69 citations) and Artificial Intelligence (105 citations). Scott Friedman has collaborated with scholars based in United States, South Sudan and United Kingdom. Frequent co-authors include Bruce W. Andrus, Kenneth D. Forbus, Robert T. Palac, Bryan Pardo, Thrasyvoulos N. Pappas, 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, Coronary Artery Disease and Clinical Journal of the American Society of Nephrology.

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.

Explore authors with similar magnitude of impact