Raymond E. Bonner
Impact in
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
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- Industrial Vision Systems and Defect Detection
Papers in
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- ECG Monitoring and Analysis 7
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- Industrial Vision Systems and Defect Detection 2
- Co-authors
- Herbert D. Schwetman (2 shared papers)LAMAR E. CREVASSE (3 shared papers)Joseph C. Greenfield (3 shared papers)Charles K. Friedberg (1 shared paper)Harry L. Jaffe (1 shared paper)M. IRENÉ FERRER (2 shared papers)John S. Batchelder (1 shared paper)Byron Dom (2 shared papers)
- Journals
- IBM Journal of Research and Development (2 papers)The American Journal of Cardiology (1 paper)Methods of Information in Medicine (1 paper)Annals of the New York Academy of Sciences (1 paper)Machine Vision and Applications (1 paper)
- Partner nations
- United States
In The Last Decade
Raymond E. Bonner
13 papers receiving 381 citations
Peers
Comparison fields: 5 of 60
- Cardiology and Cardiovascular Medicine 247
- Industrial and Manufacturing Engineering 32
- Artificial Intelligence 94
- Health Information Management 23
- Family Practice 4
Countries citing papers authored by Raymond E. Bonner
This map shows the geographic impact of Raymond E. Bonner'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 Raymond E. Bonner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond E. Bonner more than expected).
Fields of papers citing papers by Raymond E. Bonner
This network shows the impact of papers produced by Raymond E. Bonner. 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 Raymond E. Bonner. The network helps show where Raymond E. Bonner may publish in the future.
Co-authors
The 17 scholars most cited alongside Raymond E. Bonner, 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 | 1964 | 146 | |
| 2 | 1972 | 81 | |
| 3 | 1968 | 45 | |
| 4 | 1968 | 41 | |
| 5 | 1978 | 37 | |
| 6 | 1968 | 36 | |
| 7 | 1988 | 33 | |
| 8 | 1978 | 24 | |
| 9 | 1962 | 10 | |
| 10 | 1966 | 9 | |
| 11 | 1983 | 9 | |
| 12 | 1966 | 4 | |
| 13 | 1991 | 3 | |
| 14 | Solving the triangulation problem in real time with an imbedded neural network | 1996 | 1 |
| 15 | 1989 | 0 |
About Raymond E. Bonner
Raymond E. Bonner is a scholar working on Cardiology and Cardiovascular Medicine, Industrial and Manufacturing Engineering, Artificial Intelligence, Family Practice and Health Information Management, having authored 15 papers that have together received 479 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (7 papers), Industrial Vision Systems and Defect Detection (2 papers), Advanced Clustering Algorithms Research (2 papers), Neural Networks and Applications (2 papers), Evolutionary Algorithms and Applications (1 paper), Data Mining Algorithms and Applications (1 paper), Advanced Vision and Imaging (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (247 citations), Industrial and Manufacturing Engineering (32 citations), Artificial Intelligence (94 citations), Health Information Management (23 citations) and Family Practice (4 citations). Raymond E. Bonner has collaborated with scholars based in United States. Frequent co-authors include Herbert D. Schwetman, LAMAR E. CREVASSE, Joseph C. Greenfield, Charles K. Friedberg, Harry L. Jaffe, M. IRENÉ FERRER, John S. Batchelder, Byron Dom, John A. Milliken and Mario Ariet. Their work appears in journals such as IBM Journal of Research and Development, The American Journal of Cardiology, Methods of Information in Medicine, Annals of the New York Academy of Sciences and Machine Vision and Applications.
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.