John J. Koval
Impact in
-
- Balance, Gait, and Falls Prevention
- General Dentistry top 2%
Papers in
-
- Statistical Methods and Bayesian Inference 11
- Statistical Methods in Clinical Trials 8
- Statistical Methods and Inference 8
- Physiology 33
- Smoking Behavior and Cessation 17
- Physical Activity and Health 6
- Co-authors
- Linda L. PedersonAllan DonnerDonald H. PatersonMark SpeechleyDavid A. CunninghamGillian M. McCarthyNicole BlackmanA. Barry Deathe
- Journals
- Addictive Behaviors (5 papers)Preventive Medicine (4 papers)Biometrics (3 papers)Statistics in Medicine (3 papers)American Journal of Industrial Medicine (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
John J. Koval
114 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Physical Therapy, Sports Therapy and Rehabilitation 238
- General Dentistry 98
- Applied Psychology 217
- Physiology 1.1k
- Rehabilitation 260
Countries citing papers authored by John J. Koval
This map shows the geographic impact of John J. Koval'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 J. Koval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Koval more than expected).
Fields of papers citing papers by John J. Koval
This network shows the impact of papers produced by John J. Koval. 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 J. Koval. The network helps show where John J. Koval may publish in the future.
Co-authors
The 25 scholars most cited alongside John J. Koval, 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 | 2018 | 10 | |
| 2 | 2014 | 30 | |
| 3 | 2014 | 172 | |
| 4 | 2013 | 25 | |
| 5 | 2010 | 15 | |
| 6 | 2009 | 39 | |
| 7 | 2005 | 40 | |
| 8 | 2004 | 120 | |
| 9 | 2003 | 14 | |
| 10 | 2003 | 13 | |
| 11 | 2001 | 91 | |
| 12 | 2000 | 15 | |
| 13 | 2000 | 1 | |
| 14 | 2000 | 13 | |
| 15 | 1999 | 156 | |
| 16 | 1999 | 3 | |
| 17 | 1995 | 1 | |
| 18 | 1994 | 24 | |
| 19 | 1992 | 130 | |
| 20 | [Comparative study on dental caries in adolescents in eastern Slovakia]. | 1951 | 1 |
About John J. Koval
John J. Koval is a scholar working on Statistics and Probability, Physiology, Complementary and alternative medicine, Speech and Hearing and General Dentistry, having authored 116 papers that have together received 4.9k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (17 papers), Obesity, Physical Activity, Diet (12 papers), Statistical Methods and Bayesian Inference (11 papers), Cardiovascular and exercise physiology (10 papers), Statistical Methods in Clinical Trials (8 papers), Statistical Methods and Inference (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers) and Physical Activity and Health (6 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (238 citations), General Dentistry (98 citations), Applied Psychology (217 citations), Physiology (1.1k citations) and Rehabilitation (260 citations). John J. Koval has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Linda L. Pederson, Allan Donner, Donald H. Paterson, Mark Speechley, David A. Cunningham, Gillian M. McCarthy, Nicole Blackman, A. Barry Deathe, William C. Miller and Robert J. Petrella. Their work appears in journals such as Addictive Behaviors, Preventive Medicine, Biometrics, Statistics in Medicine and American Journal of Industrial Medicine.
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.