Paul J. Friedman
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- Lung Cancer Diagnosis and Treatment 12
- Chronic Obstructive Pulmonary Disease (COPD) Research 10
- Pulmonary Hypertension Research and Treatments 8
- Tracheal and airway disorders 7
- Respiratory Support and Mechanisms 6
- Health Informatics top 5%
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery 6
- Physiology top 5%
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- Acute Ischemic Stroke Management 11
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- Academic integrity and plagiarism 8
- Co-authors
- Averill A. LiebowRichard M. PetersJoel SokoloffMichael KalichmanJohn T. GmelichBarbara B. GosinkGennaro M. TisiJack R. Cooper
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Paul J. Friedman
121 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 182
- Pulmonary and Respiratory Medicine 1.9k
- Health Informatics 45
- Cardiology and Cardiovascular Medicine 514
- Rehabilitation 154
- Physiology 572
Countries citing papers authored by Paul J. Friedman
This map shows the geographic impact of Paul J. 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 Paul J. Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul J. Friedman more than expected).
Fields of papers citing papers by Paul J. Friedman
This network shows the impact of papers produced by Paul J. 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 Paul J. Friedman. The network helps show where Paul J. Friedman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul J. 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2021 | 1 | |
| 4 | Abstract 13447: Prospective Analysis of Utility of Signals From an Ecg-Enabled Stethoscope to Automatically Detect a Low Ejection Fraction Using Neural Network Techniques Trained From the Standard 12-Lead Ecg | 2019 | 1 |
| 5 | 2013 | 89 | |
| 6 | 2009 | 10 | |
| 7 | 2005 | 3 | |
| 8 | 2002 | 34 | |
| 9 | 2000 | 203 | |
| 10 | 1993 | 6 | |
| 11 | 1993 | 10 | |
| 12 | 1993 | 3 | |
| 13 | 1992 | 6 | |
| 14 | 1991 | 1 | |
| 15 | Telemetry ground station data servers for real-time expert systems | 1990 | 1 |
| 16 | 1989 | 1 | |
| 17 | 1983 | 229 | |
| 18 | 1979 | 1 | |
| 19 | 1978 | 47 | |
| 20 | 1970 | 2 |
About Paul J. Friedman
Paul J. Friedman is a scholar working on Pulmonary and Respiratory Medicine, Microbiology and Safety Research, having authored 129 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (12 papers), Acute Ischemic Stroke Management (11 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers), Academic integrity and plagiarism (8 papers), Pulmonary Hypertension Research and Treatments (8 papers), Tracheal and airway disorders (7 papers), Stroke Rehabilitation and Recovery (6 papers) and Respiratory Support and Mechanisms (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.9k citations), Health Informatics (45 citations) and Cardiology and Cardiovascular Medicine (514 citations). Paul J. Friedman has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Averill A. Liebow, Richard M. Peters, Joel Sokoloff, Michael Kalichman, John T. Gmelich, Barbara B. Gosink, Gennaro M. Tisi, Jack R. Cooper, Susan D. Patterson and Katsumi Miyai.
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.