Harry G. Banyard

36 papers receiving 1.5k citations

Hit Papers

Velocity-Based Training: From Theory to Application2020202620222024202050100150200250

Peers

Harry G. Banyard
Comparison fields: 5 of 65
  • Orthopedics and Sports Medicine 1.4k
  • Biomedical Engineering 632
  • Complementary and alternative medicine 358
  • Developmental and Educational Psychology 267
  • Physiology 75
Replace Tannath J. Scott with:
Tannath J. Scott Australia
Alejandro Pérez‐Castilla Spain
Daniel T. McMaster New Zealand
Gavin L. Moir United States
Juan Manuel Yáñez‐García Spain
Ricardo Mora‐Custodio Spain
Kátia Kitamura Brazil
Shaun J. McLaren United Kingdom
Randall L. Jensen United States
Jason B. Winchester United States
Harry G. Banyard relative to Tannath J. Scott Australia Tannath J. Scott's profile →
Citations per field
00.5×1.6×
Tannath J. Scott · 1×
Citations per year

Countries citing papers authored by Harry G. Banyard

Since Specialization
Citations

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

Fields of papers citing papers by Harry G. Banyard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harry G. Banyard. 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 Harry G. Banyard. The network helps show where Harry G. Banyard may publish in the future.

Co-authorship network of co-authors of Harry G. Banyard

This figure shows the co-authorship network connecting the top 25 collaborators of Harry G. Banyard. A scholar is included among the top collaborators of Harry G. Banyard 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 Harry G. Banyard. Harry G. Banyard 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
#WorkIndexed citations
1 0
2 3
3 4
4 7
5 6
6 21
7
Velocity-Based Training: From Theory to Applicationbreakdown →
252
8 8
9 53
10 31
11 42
12
Using load-velocity relationships to predict 1rm in Free-Weight Exercise
1
13 54
14 28
15 22
16 49
17 29
18 204
19
Discriminating Talent Identified Junior Australian Footballers Using a Fundamental Gross Athletic Movement Assessment.
16
20 47

About Harry G. Banyard

Harry G. Banyard is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine and Developmental and Educational Psychology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sports Performance and Training (32 papers), Sports injuries and prevention (29 papers) and Sport Psychology and Performance (10 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.4k citations), Complementary and alternative medicine (358 citations) and Developmental and Educational Psychology (267 citations). Harry G. Banyard has collaborated with scholars based in Australia, United Kingdom and Chile. Frequent co-authors include G. Gregory Haff, Kazunori Nosaka, Jonathon Weakley, Shaun J. McLaren, Bryan Mann, Amador García‐Ramos, Tannath J. Scott, James J. Tufano, Kimitake Sato and Ben Jones. Their work appears in journals such as PLoS ONE, Medicine & Science in Sports & Exercise and Australasian Journal of Paramedicine.

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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