Anthony Weldon

50 papers receiving 796 citations

Anthony Weldon's Hit Papers

Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques 2021 · 144 citations
1440+1+3Years since publication4080120

Peers

Anthony Weldon
Comparison fields: 5 of 73
  • Orthopedics and Sports Medicine 479
  • Developmental and Educational Psychology 189
  • Physical Therapy, Sports Therapy and Rehabilitation 51
  • Complementary and alternative medicine 68
  • Computer Science Applications 50
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Countries citing papers authored by Anthony Weldon

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Weldon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anthony Weldon, 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 Anthony Weldon Line = papers co-authored together Anthony Weldon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques
Hit paper breakdown →
2021144
2 2020112
3 202146
4 202141
5 202039
6 202136
7 202032
8 201329
9 202125
10 202323
11 202123
12 202122
13 202219
14 202318
15 202418
16 202315
17 202215
18 201913
19 202312
20 202211

About Anthony Weldon

Anthony Weldon is a scholar working on Orthopedics and Sports Medicine, Developmental and Educational Psychology, Complementary and alternative medicine, Physical Therapy, Sports Therapy and Rehabilitation and Biomedical Engineering, having authored 57 papers that have together received 815 indexed citations. Recurring topics across this work include Sports Performance and Training (40 papers), Sports injuries and prevention (34 papers), Sport Psychology and Performance (21 papers), Cardiovascular and exercise physiology (5 papers), Sports Dynamics and Biomechanics (4 papers), Thermoregulation and physiological responses (3 papers), Sports and Physical Education Research (2 papers) and Shoulder Injury and Treatment (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (479 citations), Developmental and Educational Psychology (189 citations), Physical Therapy, Sports Therapy and Rehabilitation (51 citations), Complementary and alternative medicine (68 citations) and Computer Science Applications (50 citations). Anthony Weldon has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Michael Duncan, Anthony N. Turner, Jaime Sampaio, Irineu Loturco, Chris Bishop, Del P. Wong, Mark Noon, Candice J. Christie, Anthony Turner and Rohit K. Thapa. Their work appears in journals such as International Journal of Sports Science & Coaching, Strength and conditioning journal, The Journal of Strength and Conditioning Research, PLoS ONE and Sports.

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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