James E. Peterman

1.1k total citations
46 papers, 632 citations indexed

About

James E. Peterman is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, James E. Peterman has authored 46 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Complementary and alternative medicine, 26 papers in Cardiology and Cardiovascular Medicine and 17 papers in Physiology. Recurrent topics in James E. Peterman's work include Cardiovascular and exercise physiology (35 papers), Physical Activity and Health (17 papers) and Heart Rate Variability and Autonomic Control (14 papers). James E. Peterman is often cited by papers focused on Cardiovascular and exercise physiology (35 papers), Physical Activity and Health (17 papers) and Heart Rate Variability and Autonomic Control (14 papers). James E. Peterman collaborates with scholars based in United States, Canada and Russia. James E. Peterman's co-authors include Leonard A. Kaminsky, Matthew P. Harber, Ross Arena, Mary T. Imboden, Jonathan Myers, William C. Byrnes, Rodger Kram, M. H. Whaley, Bradley S. Fleenor and Cemal Ozemek and has published in prestigious journals such as Circulation, PLoS ONE and Medicine & Science in Sports & Exercise.

In The Last Decade

James E. Peterman

40 papers receiving 618 citations

Peers

James E. Peterman
Kate Woolf‐May United Kingdom
Dharini M. Bhammar United States
Frank H. Fu Hong Kong
H. Iwane Japan
Brandon J. Sawyer United States
Rebecca Pollard United States
Nina Zisko Norway
Saejong Park South Korea
Kate Woolf‐May United Kingdom
James E. Peterman
Citations per year, relative to James E. Peterman James E. Peterman (= 1×) peers Kate Woolf‐May

Countries citing papers authored by James E. Peterman

Since Specialization
Citations

This map shows the geographic impact of James E. Peterman'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 James E. Peterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Peterman more than expected).

Fields of papers citing papers by James E. Peterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Peterman. 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 James E. Peterman. The network helps show where James E. Peterman may publish in the future.

Co-authorship network of co-authors of James E. Peterman

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Peterman. A scholar is included among the top collaborators of James E. Peterman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James E. Peterman. James E. Peterman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dourado, Victor Zuniga, Kabir P. Sadarangani, Rodolfo Leite Arantes, et al.. (2025). Prediction of maximum oxygen uptake over time in adults: analysis from the FRIEND registry. Brazilian Journal of Medical and Biological Research. 58. e13731–e13731. 1 indexed citations
2.
Kim, Daniel Seung, Jeffrey W. Christle, Nicholas Cauwenberghs, et al.. (2025). Reference equations for peak oxygen uptake for treadmill cardiopulmonary exercise tests based on the NHANES lean body mass equations, a FRIEND registry study. European Journal of Preventive Cardiology.
3.
Marzolini, Susan, Paul Oh, James E. Peterman, et al.. (2024). Sex Differences and Correlates of the Utility of the Cardiopulmonary Exercise Test for Prescribing Exercise at Entry to Cardiac Rehabilitation. Canadian Journal of Cardiology. 41(3). 481–490. 1 indexed citations
4.
Christle, Jeffrey W., Nicholas Cauwenberghs, James E. Peterman, et al.. (2024). Improving Reporting of Exercise Capacity Across Age Ranges Using Novel Workload Reference Equations. The American Journal of Cardiology. 215. 32–41. 1 indexed citations
5.
Bosnić, Zoran, Leonard A. Kaminsky, Jonathan Myers, et al.. (2023). A Machine Learning Approach to Developing an Accurate Prediction of Maximal Heart Rate During Exercise Testing in Apparently Healthy Adults. Journal of Cardiopulmonary Rehabilitation and Prevention. 43(5). 377–383.
6.
Begum, Munni, Matthew P. Harber, W. Holmes Finch, et al.. (2022). Subgroup Identification with Classification and Regression Tree-Based Algorithms: an Application to the Ball State Adult Fitness Longitudinal Study. Bulletin of the Malaysian Mathematical Sciences Society. 45(S1). 445–459. 1 indexed citations
7.
Peterman, James E., Ross Arena, Jonathan Myers, et al.. (2022). A Nonexercise Prediction of Peak Oxygen Uptake for Patients With Cardiovascular Disease. Journal of Cardiopulmonary Rehabilitation and Prevention. 43(2). 115–121. 6 indexed citations
8.
Peterman, James E., et al.. (2022). Oxygen Uptake Efficiency Slope as a Predictor of Mortality Risk. Journal of Cardiopulmonary Rehabilitation and Prevention. 43(4). 282–289. 2 indexed citations
9.
Peterman, James E., Codie R. Rouleau, Ross Arena, et al.. (2022). Cardiorespiratory fitness estimations and their ability to predict all-cause mortality in patients with cardiovascular disease. International Journal of Cardiology Cardiovascular Risk and Prevention. 15. 200154–200154. 2 indexed citations
10.
Peterman, James E., et al.. (2022). Cardiopulmonary Exercise Responses in Individuals with Metabolic Syndrome: The Ball State Adult Fitness Longitudinal Lifestyle Study. Metabolic Syndrome and Related Disorders. 20(7). 414–420. 2 indexed citations
11.
Kaminsky, Leonard A., Charles German, Mary T. Imboden, et al.. (2021). The importance of healthy lifestyle behaviors in the prevention of cardiovascular disease. Progress in Cardiovascular Diseases. 70. 8–15. 114 indexed citations
12.
Kaminsky, Leonard A., Ross Arena, Jonathan Myers, et al.. (2021). Updated Reference Standards for Cardiorespiratory Fitness Measured with Cardiopulmonary Exercise Testing. Mayo Clinic Proceedings. 97(2). 285–293. 90 indexed citations
13.
Fleenor, Bradley S., et al.. (2020). Healthy Vascular Aging Is Associated With Higher Cardiorespiratory Fitness. Journal of Cardiopulmonary Rehabilitation and Prevention. 41(2). 122–125. 10 indexed citations
15.
Peterman, James E., Ross Arena, Jonathan Myers, et al.. (2019). Development of Global Reference Standards for Directly Measured Cardiorespiratory Fitness: A Report From the Fitness Registry and Importance of Exercise National Database (FRIEND). Mayo Clinic Proceedings. 95(2). 255–264. 32 indexed citations
16.
Peterman, James E., Geneviève N. Healy, Elisabeth Winkler, et al.. (2019). A cluster randomized controlled trial to reduce office workers’ sitting time: effect on productivity outcomes. Scandinavian Journal of Work Environment & Health. 45(5). 483–492. 20 indexed citations
17.
Peterman, James E., et al.. (2016). Pedelecs as a physically active transportation mode. European Journal of Applied Physiology. 116(8). 1565–1573. 52 indexed citations
18.
Peterman, James E., Kenneth P. Wright, Edward L. Melanson, Rodger Kram, & William C. Byrnes. (2016). Motor-Driven (Passive) Cycling. Medicine & Science in Sports & Exercise. 48(9). 1821–1828. 3 indexed citations
19.
Peterman, James E., et al.. (2011). Comparison of Male and Female Road Cyclists under Identical Stage Race Conditions. Medicine & Science in Sports & Exercise. 43(5). 846–852. 11 indexed citations
20.
Schwartz, B, et al.. (1951). An epizootic of parasitic gastroenteritis in feeder lambs.. Proceedings of the Helminthological Society of Washington. 18(1). 1–5. 1 indexed citations

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.

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