John M. Long
Impact in
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- Spine and Intervertebral Disc Pathology
- Behavioral Neuroscience top 10%
Papers in
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- Experimental Learning in Engineering 19
- Engineering Education and Curriculum Development 14
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- Engineering Education and Pedagogy 6
- Co-authors
- Donald L. Patrick (2 shared papers)Daniel E. Singer (2 shared papers)Richard A. Deyo (2 shared papers)Steven J. Atlas (2 shared papers)Robert B. Keller (2 shared papers)Abbas Z. Kouzani (12 shared papers)John R. Morton (1 shared paper)Roger Guillemin (7 shared papers)
- Journals
- Endocrinology (3 papers)Journal of Applied Mechanics (2 papers)Spine (2 papers)Journal of Medical Systems (2 papers)Surface and Coatings Technology (2 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
John M. Long
104 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 171
- Pathology and Forensic Medicine 446
- Behavioral Neuroscience 46
- Pharmacology 214
- Endocrine and Autonomic Systems 64
- Architecture 16
Countries citing papers authored by John M. Long
This map shows the geographic impact of John M. Long'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 M. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Long more than expected).
Fields of papers citing papers by John M. Long
This network shows the impact of papers produced by John M. Long. 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 M. Long. The network helps show where John M. Long may publish in the future.
Co-authors
The 25 scholars most cited alongside John M. Long, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 292 | |
| 2 | 1996 | 274 | |
| 3 | 1976 | 101 | |
| 4 | 2004 | 88 | |
| 5 | 2022 | 86 | |
| 6 | 1962 | 83 | |
| 7 | 2023 | 76 | |
| 8 | 2001 | 70 | |
| 9 | 2002 | 56 | |
| 10 | 2021 | 53 | |
| 11 | 1960 | 51 | |
| 12 | 2003 | 50 | |
| 13 | 2022 | 47 | |
| 14 | 1962 | 44 | |
| 15 | 1972 | 36 | |
| 16 | 1989 | 32 | |
| 17 | 1979 | 31 | |
| 18 | 1991 | 29 | |
| 19 | 1960 | 20 | |
| 20 | 2004 | 20 |
About John M. Long
John M. Long is a scholar working on Media Technology, Architecture, Education, Biomedical Engineering and Health Information Management, having authored 116 papers that have together received 2.0k indexed citations. Recurring topics across this work include Experimental Learning in Engineering (19 papers), Engineering Education and Curriculum Development (14 papers), Innovative Teaching Methods (9 papers), Neuroscience and Neural Engineering (7 papers), Metal and Thin Film Mechanics (6 papers), Muscle activation and electromyography studies (6 papers), Lipoproteins and Cardiovascular Health (6 papers) and Engineering Education and Pedagogy (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (446 citations), Behavioral Neuroscience (46 citations), Pharmacology (214 citations), Endocrine and Autonomic Systems (64 citations) and Architecture (16 citations). John M. Long has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Donald L. Patrick, Daniel E. Singer, Richard A. Deyo, Steven J. Atlas, Robert B. Keller, Abbas Z. Kouzani, John R. Morton, Roger Guillemin, Scott D. Adams and Andrew Victor Schally. Their work appears in journals such as Endocrinology, Journal of Applied Mechanics, Spine, Journal of Medical Systems and Surface and Coatings Technology.
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.