Jacob E. Barkley

5.1k total citations · 3 hit papers
112 papers, 3.9k citations indexed

About

Jacob E. Barkley is a scholar working on Physiology, Sociology and Political Science and Developmental and Educational Psychology. According to data from OpenAlex, Jacob E. Barkley has authored 112 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Physiology, 36 papers in Sociology and Political Science and 31 papers in Developmental and Educational Psychology. Recurrent topics in Jacob E. Barkley's work include Impact of Technology on Adolescents (35 papers), Physical Activity and Health (33 papers) and Obesity, Physical Activity, Diet (28 papers). Jacob E. Barkley is often cited by papers focused on Impact of Technology on Adolescents (35 papers), Physical Activity and Health (33 papers) and Obesity, Physical Activity, Diet (28 papers). Jacob E. Barkley collaborates with scholars based in United States, Canada and Saudi Arabia. Jacob E. Barkley's co-authors include Andrew Lepp, Aryn C. Karpinski, James N. Roemmich, Gabriel J. Sanders, Ellen L. Glickman, Michael J. Rebold, Jian Li, Peter Gates, Amanda L. Penko and Ahlam Alghamdi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jacob E. Barkley

109 papers receiving 3.7k citations

Hit Papers

The relationship between cell phone use, academic perform... 2013 2026 2017 2021 2013 2015 2019 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jacob E. Barkley United States 34 1.7k 893 767 677 600 112 3.9k
Attila Szabó Hungary 40 1.4k 0.8× 560 0.6× 2.3k 3.0× 630 0.9× 250 0.4× 221 5.6k
Rhonda Orr Australia 30 1.5k 0.9× 375 0.4× 627 0.8× 443 0.7× 217 0.4× 92 4.9k
Alexander Grob Switzerland 30 1.1k 0.6× 785 0.9× 1.1k 1.5× 115 0.2× 338 0.6× 179 4.6k
Valerie Gladwell United Kingdom 22 1.8k 1.1× 671 0.8× 417 0.5× 287 0.4× 101 0.2× 41 4.2k
Allen I. Huffcutt United States 21 912 0.5× 334 0.4× 612 0.8× 171 0.3× 410 0.7× 40 4.8k
John Reece Australia 30 815 0.5× 894 1.0× 668 0.9× 156 0.2× 306 0.5× 76 3.8k
Chris Magee Australia 40 683 0.4× 363 0.4× 969 1.3× 425 0.6× 731 1.2× 124 5.3k
Laura M. Stapleton United States 29 686 0.4× 1.1k 1.2× 759 1.0× 154 0.2× 169 0.3× 72 4.1k
Fabio Lucidi Italy 40 1.3k 0.8× 734 0.8× 1.1k 1.5× 258 0.4× 445 0.7× 224 5.8k
Soyeon Ahn United States 29 698 0.4× 716 0.8× 832 1.1× 367 0.5× 720 1.2× 77 3.7k

Countries citing papers authored by Jacob E. Barkley

Since Specialization
Citations

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

Fields of papers citing papers by Jacob E. Barkley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob E. Barkley

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob E. Barkley. A scholar is included among the top collaborators of Jacob E. Barkley 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 Jacob E. Barkley. Jacob E. Barkley 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.
Lepp, Andrew, Brian H. Yim, & Jacob E. Barkley. (2025). Smartphone hookup app use (e.g. Tinder) and college student's risky sexual behavior: A model including leisure boredom, sensation seeking, and the moderating role of gender. Computers in Human Behavior. 166. 108581–108581. 1 indexed citations
3.
Lepp, Andrew, et al.. (2023). Esports Gamers, Recreational Gamers, and the Active Couch Potato Lifestyle. American Journal of Lifestyle Medicine. 2 indexed citations
4.
Lepp, Andrew, et al.. (2023). COVID-19 Infection Outcomes and Physical Activity Intensity in a Sample of College Students. American Journal of Lifestyle Medicine. 1 indexed citations
6.
Lepp, Andrew & Jacob E. Barkley. (2022). The experimental effect of social media use, treadmill walking, studying, and a control condition on positive and negative affect in college students. Current Psychology. 42(30). 26331–26340. 1 indexed citations
7.
Yim, Brian H., et al.. (2022). The gamer identity scale: A measure of self concept as a video gamer. Computers in Human Behavior. 138. 107476–107476. 10 indexed citations
8.
Li, Jian, et al.. (2022). Reassessing the smartphone addiction scale: Support for unidimensionality and a shortened scale from an American sample. Computers in Human Behavior. 139. 107552–107552. 5 indexed citations
10.
Barkley, Jacob E.. (2020). Increased Physical Activity and Reduced Pain with Spinal Cord Stimulation: a 12-Month Study. International journal of exercise science. 13(3). 1583–1594. 9 indexed citations
11.
Lepp, Andrew & Jacob E. Barkley. (2019). Cell phone use predicts being an “active couch potato”: results from a cross-sectional survey of sufficiently active college students. SHILAP Revista de lepidopterología. 5. 1344199430–1344199430. 13 indexed citations
12.
Fennell, Curtis, Andrew Lepp, & Jacob E. Barkley. (2019). Smartphone Use Predicts Being an “Active Couch Potato” in Sufficiently Active Adults. American Journal of Lifestyle Medicine. 15(6). 673–681. 15 indexed citations
13.
Barkley, Jacob E., et al.. (2016). Physiological Responses and Hedonics During Prolonged Physically Interactive Videogame Play. Games for Health Journal. 5(2). 108–113. 5 indexed citations
14.
Petersen, Jennifer L., et al.. (2016). Effect of Peer Influence on Exercise Behavior and Enjoyment in Recreational Runners. The Journal of Strength and Conditioning Research. 30(2). 497–503. 9 indexed citations
15.
Sanders, Gabriel J., et al.. (2015). Heart Rate and Liking During “Kinect Boxing” Versus “Wii Boxing”: The Potential for Enjoyable Vigorous Physical Activity Videogames. Games for Health Journal. 4(4). 265–270. 15 indexed citations
16.
Barkley, Jacob E., et al.. (2015). The Effect of Peer Influence on Exercise Intensity and Enjoyment During Outdoor Running in Collegiate Distance Runners. Journal of sport behavior. 38(3). 257. 4 indexed citations
17.
Sanders, Gabriel J., et al.. (2015). The Effect of Increasing Autonomy Through Choice on Young Children’s Physical Activity Behavior. Journal of Physical Activity and Health. 13(4). 428–432. 11 indexed citations
18.
Barkley, Jacob E., et al.. (2014). The effect of a peer on VO2 and game choice in 6–10 year old children. Frontiers in Physiology. 5. 202–202. 9 indexed citations
19.
Ryan, Edward J., Chul‐Ho Kim, Matthew D. Muller, et al.. (2012). Low-Dose Caffeine Administered in Chewing Gum Does Not Enhance Cycling to Exhaustion. The Journal of Strength and Conditioning Research. 26(3). 844–850. 25 indexed citations
20.
Barkley, Jacob E. & James N. Roemmich. (2011). Validity of a Pediatric RPE Scale When Different Exercise Intensities are Completed on Separate Days. Journal of Exercise Science & Fitness. 9(1). 52–57. 8 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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