Thad Crews

26 papers receiving 511 citations

Peers

Thad Crews
Comparison fields: 5 of 94
  • Orthopedics and Sports Medicine 188
  • Issues, ethics and legal aspects 26
  • Complementary and alternative medicine 150
  • Computer Science Applications 91
  • Health Information Management 47
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Citations per field
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Citations per year

Countries citing papers authored by Thad Crews

Since Specialization
Citations

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

Fields of papers citing papers by Thad Crews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thad Crews. 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 Thad Crews. The network helps show where Thad Crews may publish in the future.

Co-authors

The 8 scholars most cited alongside Thad Crews, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thad Crews Line = papers co-authored together Thad Crews links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200568
2 200567
3 200360
4 200359
5 201445
6 200544
7 200225
8 200421
9 199921
10 200419
11
Improving the Learning Environment in Beginning Programming Classes: An Experiment in Gender Equity
200318
12 200314
13
Effects of two speeds of isokinetic training on muscular strength, power and endurance.
198313
14 200911
15
Physiological responses at 0% and 10% treadmill incline using the RPE estimation-production paradigm.
200210
16
Analysis of reaction time, speed, and body composition of college football players.
19789
17 20028
18
A Guide to Working With Visual Logic
20086
19
RPE drift during cycling in 18 degrees C vs 30 degrees C wet bulb globe temperature.
20076
20 20125

About Thad Crews

Thad Crews is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine, Computer Science Applications, Information Systems and Physiology, having authored 28 papers that have together received 545 indexed citations. Recurring topics across this work include Sports Performance and Training (13 papers), Cardiovascular and exercise physiology (10 papers), Teaching and Learning Programming (7 papers), Physical Activity and Health (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Gender and Technology in Education (3 papers), Occupational Health and Performance (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (188 citations), Issues, ethics and legal aspects (26 citations), Complementary and alternative medicine (150 citations), Computer Science Applications (91 citations) and Health Information Management (47 citations). Thad Crews has collaborated with scholars based in United States. Frequent co-authors include John R. McLester, Uta Ziegler, Thomas W. Dillon, James M. Green, Robert Pritchett, Richard G. Lomax, Laura Hall and John A. Roberts. Their work appears in journals such as European Journal of Applied Physiology, Medicine & Science in Sports & Exercise, Journal of the Association for Information Systems, The Journal of Strength and Conditioning Research and Journal of Computing in Higher Education.

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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