John H. Reed
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
-
- Cardiac Arrhythmias and Treatments
- Cardiac pacing and defibrillation studies
Papers in
-
- Smart Grid Energy Management 7
- Surgery 12
- Co-authors
- Bruce W. Bode (4 shared papers)Todd M. Gross (1 shared paper)David Kayne (1 shared paper)Daniel Einhorn (1 shared paper)Neil H. White (1 shared paper)John J. Mastrototaro (1 shared paper)Ludger Rose (2 shared papers)Nelun Wijayasinghe (2 shared papers)
- Journals
- IEEE Transactions on Power Delivery (3 papers)Diabetes (2 papers)Electronics Letters (2 papers)Journal of Applied Physiology (2 papers)The American Journal of Cardiology (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
John H. Reed
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Endocrinology, Diabetes and Metabolism 666
- Cardiology and Cardiovascular Medicine 334
- Surgery 413
- Pharmacology 98
- Radiation 48
Countries citing papers authored by John H. Reed
This map shows the geographic impact of John H. Reed'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 John H. Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Reed more than expected).
Fields of papers citing papers by John H. Reed
This network shows the impact of papers produced by John H. Reed. 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 John H. Reed. The network helps show where John H. Reed may publish in the future.
Co-authors
The 25 scholars most cited alongside John H. Reed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 292 | |
| 2 | 2000 | 240 | |
| 3 | 2018 | 172 | |
| 4 | 2010 | 128 | |
| 5 | 2012 | 66 | |
| 6 | 2009 | 40 | |
| 7 | 2012 | 37 | |
| 8 | 2010 | 35 | |
| 9 | 1998 | 32 | |
| 10 | 1994 | 25 | |
| 11 | 2016 | 21 | |
| 12 | 1989 | 19 | |
| 13 | 1989 | 19 | |
| 14 | 1993 | 16 | |
| 15 | 1993 | 16 | |
| 16 | 1967 | 15 | |
| 17 | 2011 | 12 | |
| 18 | 2006 | 12 | |
| 19 | 2013 | 11 | |
| 20 | 1997 | 11 |
About John H. Reed
John H. Reed is a scholar working on Electrical and Electronic Engineering, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Radiation, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (9 papers), Diabetes Management and Research (7 papers), Smart Grid Energy Management (7 papers), Cardiac pacing and defibrillation studies (7 papers), Nuclear Physics and Applications (5 papers), Diabetes Treatment and Management (5 papers), Advanced X-ray and CT Imaging (4 papers) and Water Systems and Optimization (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (666 citations), Cardiology and Cardiovascular Medicine (334 citations), Surgery (413 citations), Pharmacology (98 citations) and Radiation (48 citations). John H. Reed has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Bruce W. Bode, Todd M. Gross, David Kayne, Daniel Einhorn, Neil H. White, John J. Mastrototaro, Ludger Rose, Nelun Wijayasinghe, Danny Sugimoto and Eiichi Araki. Their work appears in journals such as IEEE Transactions on Power Delivery, Diabetes, Electronics Letters, Journal of Applied Physiology and The American Journal of Cardiology.
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.