Jon Friedman
Impact in
- Software top 10%
Papers in
- Software 5
- Model-Driven Software Engineering Techniques 4
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- Real-time simulation and control systems 3
- Co-authors
- Dean C. Norman (1 shared paper)Thomas T. Yoshikawa (1 shared paper)Noël Bouck (2 shared papers)Alisa E. Koch (2 shared papers)G. Kenneth Haines (2 shared papers)James C. Burrows (1 shared paper)Craig B. Langman (1 shared paper)Zoltán Szekanecz (1 shared paper)
- Journals
- Journal of the American Geriatrics Society (1 paper)Pathobiology (1 paper)Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)American Journal of Transplantation (1 paper)
- Partner nations
- United StatesFranceHungary
In The Last Decade
Jon Friedman
14 papers receiving 251 citations
Peers
Comparison fields: 5 of 86
- Software 26
- Transplantation 16
- Immunology and Allergy 23
- Hardware and Architecture 25
- Nephrology 24
Countries citing papers authored by Jon Friedman
This map shows the geographic impact of Jon 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 Jon Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Friedman more than expected).
Fields of papers citing papers by Jon Friedman
This network shows the impact of papers produced by Jon 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 Jon Friedman. The network helps show where Jon Friedman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon 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
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 56 | |
| 2 | 2020 | 47 | |
| 3 | 1993 | 33 | |
| 4 | 1998 | 33 | |
| 5 | 2008 | 32 | |
| 6 | 2008 | 20 | |
| 7 | 2013 | 12 | |
| 8 | 2011 | 8 | |
| 9 | 1997 | 7 | |
| 10 | 2007 | 7 | |
| 11 | 2007 | 7 | |
| 12 | 2008 | 5 | |
| 13 | 2007 | 3 | |
| 14 | 2008 | 2 |
About Jon Friedman
Jon Friedman is a scholar working on Software, Control and Systems Engineering, Cardiology and Cardiovascular Medicine, Information Systems and Industrial and Manufacturing Engineering, having authored 14 papers that have together received 272 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (4 papers), Manufacturing Process and Optimization (3 papers), Real-time simulation and control systems (3 papers), Advanced Software Engineering Methodologies (2 papers), Software Engineering Research (2 papers), Advanced Malware Detection Techniques (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Software (26 citations), Transplantation (16 citations), Immunology and Allergy (23 citations), Hardware and Architecture (25 citations) and Nephrology (24 citations). Jon Friedman has collaborated with scholars based in United States, France and Hungary. Frequent co-authors include Dean C. Norman, Thomas T. Yoshikawa, Noël Bouck, Alisa E. Koch, G. Kenneth Haines, James C. Burrows, Craig B. Langman, Zoltán Szekanecz, Chien‐Chang Lee and Bryan A. Whitson. Their work appears in journals such as Journal of the American Geriatrics Society, Pathobiology, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, SAE technical papers on CD-ROM/SAE technical paper series and American Journal of Transplantation.
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.