Scott Friedman

811 total citations
47 papers, 472 citations indexed

About

Scott Friedman is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Signal Processing. According to data from OpenAlex, Scott Friedman has authored 47 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Cardiology and Cardiovascular Medicine and 6 papers in Signal Processing. Recurrent topics in Scott Friedman's work include AI-based Problem Solving and Planning (8 papers), Topic Modeling (6 papers) and Advanced Malware Detection Techniques (5 papers). Scott Friedman is often cited by papers focused on AI-based Problem Solving and Planning (8 papers), Topic Modeling (6 papers) and Advanced Malware Detection Techniques (5 papers). Scott Friedman collaborates with scholars based in United States, Philippines and United Kingdom. Scott Friedman's co-authors include Bruce W. Andrus, Kenneth D. Forbus, Robert T. Palac, Bryan Pardo, Thrasyvoulos N. Pappas, Alan Kono, Mark Greenberg, Salvatore P. Costa, Michael Chobanian and David M. Zlotnick and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Scott Friedman

41 papers receiving 407 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Scott Friedman United States 10 138 105 95 69 55 47 472
Sarah Hudson United Kingdom 10 257 1.9× 22 0.2× 94 1.0× 40 0.6× 88 1.6× 18 579
Ghada Zamzmi United States 16 63 0.5× 127 1.2× 85 0.9× 92 1.3× 32 0.6× 54 649
Tae Young Kim South Korea 12 124 0.9× 59 0.6× 59 0.6× 36 0.5× 26 0.5× 47 320
Otilia Kocsis Greece 13 36 0.3× 151 1.4× 46 0.5× 80 1.2× 19 0.3× 39 476
Nimit S. Sohoni United States 5 283 2.1× 81 0.8× 17 0.2× 29 0.4× 22 0.4× 6 475
Dani Kiyasseh United States 8 68 0.5× 73 0.7× 21 0.2× 29 0.4× 102 1.9× 11 327
Sorayya Rezayi Iran 12 41 0.3× 180 1.7× 21 0.2× 216 3.1× 38 0.7× 45 659
Mostafa A. Al‐Alusi United States 11 276 2.0× 22 0.2× 25 0.3× 32 0.5× 41 0.7× 24 625
Lauren Ariniello United States 8 367 2.7× 33 0.3× 41 0.4× 23 0.3× 44 0.8× 15 780
Jeremy Irvin United States 10 29 0.2× 109 1.0× 31 0.3× 18 0.3× 37 0.7× 18 504

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-authorship network of co-authors of Scott Friedman

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Friedman. A scholar is included among the top collaborators of Scott Friedman 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 Scott Friedman. Scott Friedman 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.
Singh, Kuldeep, et al.. (2024). Soft Measures for Extracting Causal Collective Intelligence. 99–116. 1 indexed citations
2.
Friedman, Scott, et al.. (2024). Is from ought? A comparison of unsupervised methods for structuring values-based wisdom-of-crowds estimates. Journal of Computational Social Science. 7(2). 1327–1377. 1 indexed citations
3.
Friedman, Scott, et al.. (2023). Rural‐urban trends in health care utilization, treatment, and mortality among US veterans with congestive heart failure: A retrospective cohort study. The Journal of Rural Health. 39(4). 844–852. 4 indexed citations
4.
Friedman, Scott, et al.. (2021). Toward Transformer-Based NLP for Extracting Psychosocial Indicators of Moral Disengagement. eScholarship (California Digital Library). 43(43). 2 indexed citations
5.
Friedman, Scott, et al.. (2020). Gender Gaps Correlate with Gender Bias in Social Media Word Embeddings.. Cognitive Science. 1 indexed citations
6.
Friedman, Scott, et al.. (2020). THE TICK THAT INFECTED THE TICKER: A CASE OF ANAPLASMA MYOPERICARDITIS IN A VERMONT VETERAN. Journal of the American College of Cardiology. 75(11). 2530–2530. 5 indexed citations
7.
Friedman, Scott, et al.. (2018). Relation of Venous Thromboembolism Risk to Ischemic Stroke Risk in Hospitalized Patients with Cancer. The American Journal of Cardiology. 123(4). 679–683. 5 indexed citations
8.
Friedman, Scott, et al.. (2018). Commentary. Neurosurgery. 83(6). E262–E265. 1 indexed citations
9.
Friedman, Scott, et al.. (2017). Torsades de Pointes in Severe Alcohol Withdrawal and Cirrhosis: Implications for Risk Stratification and Management.. PubMed. 34(1). 38–41. 4 indexed citations
10.
McDonald, David D., et al.. (2016). Extending Biology Models with Deep NLP over Scientific Articles.. National Conference on Artificial Intelligence. 3 indexed citations
11.
Friedman, Scott, David J. Musliner, & Peter M. Keller. (2015). Chronomorphic Programs: Using Runtime Diversity to Prevent Code Reuse Attacks. 76–82. 1 indexed citations
13.
Friedman, Scott, et al.. (2013). Warfarin for stroke prevention following anterior ST-elevation myocardial infarction. Coronary Artery Disease. 24(8). 636–641. 8 indexed citations
14.
Friedman, Scott, Kenneth D. Forbus, & Bruce Sherin. (2011). Constructing and Revising Commonsense Science Explanations: A Metareasoning Approach. National Conference on Artificial Intelligence. 121–128. 6 indexed citations
15.
Friedman, Scott, et al.. (2011). Modeling structural priming in sentence production via analogical processes. eScholarship (California Digital Library). 33(33). 9 indexed citations
16.
Friedman, Scott, Robert T. Palac, David M. Zlotnick, Michael Chobanian, & Salvatore P. Costa. (2011). A Call to Action. Clinical Journal of the American Society of Nephrology. 6(5). 1185–1191. 40 indexed citations
17.
Buss, Nicholas, Scott Friedman, & James T. DeVries. (2011). Abstract 16670: Anterior Myocardial Infarction and Low Ejection Fraction: Should We Anticoagulate?. Circulation. 124(suppl_21). 1 indexed citations
18.
Friedman, Scott, et al.. (2010). Learning concepts from sketches via analogical generalization and near-misses. eScholarship (California Digital Library). 32(32). 12 indexed citations
19.
Friedman, Sara L., et al.. (2010). Curriculum Design of a Case‐based Knowledge Translation Shift for Emergency Medicine Residents. Academic Emergency Medicine. 17(s2). S42–8. 10 indexed citations
20.
Forbus, Kenneth D. & Scott Friedman. (2009). Learning Naïve Physics Models and Misconceptions. Cognitive Science. 31(31). 5 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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