Arun Garg

8.0k citations
121 papers · 5.8k indexed · 2 hit papers · h-index 36
Topics
Musculoskeletal pain and rehabilitation (69 papers)Ergonomics and Musculoskeletal Disorders (46 papers)Orthopedic Surgery and Rehabilitation (21 papers)
Partner nations
United StatesIndiaCanada

In The Last Decade

Arun Garg

120 papers receiving 5.4k citations

Hit Papers

Revised NIOSH equation for the design and evaluation of m...1993202620042015199319954008001.2k

Peers

Arun Garg
Comparison fields: 5 of 150
  • Pharmacology 3.7k
  • Social Psychology 2.6k
  • Biomedical Engineering 1.1k
  • Orthopedics and Sports Medicine 1.1k
  • Surgery 894
Replace Svend Erik Mathiassen with:
Svend Erik Mathiassen Sweden
Jörgen Winkel Sweden
Thomas Waters United States
Shrawan Kumar Canada
E.N. Corlett United Kingdom
Don B. Chaffin United States
Kermit G. Davis United States
Esa‐Pekka Takala Finland
M.P. de Looze Netherlands
Stover H. Snook United States
Arun Garg relative to Svend Erik Mathiassen Sweden Svend Erik Mathiassen's profile →
Citations per field
00.5×1.5×1.8×
Svend Erik Mathiassen · 1×
Citations per year

Countries citing papers authored by Arun Garg

Since Specialization
Citations

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

Fields of papers citing papers by Arun Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Garg. A scholar is included among the top collaborators of Arun Garg 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 Arun Garg. Arun Garg 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 6
2 2
3 19
4 6
5 5
6 9
7 36
8 37
9 12
10 15
11 12
12 35
13 15
14 37
15 17
16 91
17 66
18 73
19 18
20
Ergonomics : low-back pain, carpal tunnel syndrome, and upper extremity disorders in the workplace
2

About Arun Garg

Arun Garg is a scholar working on Medical Laboratory Technology, Occupational Therapy and Pharmacology, having authored 121 papers that have together received 5.8k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (69 papers), Ergonomics and Musculoskeletal Disorders (46 papers) and Orthopedic Surgery and Rehabilitation (21 papers). The work is most often cited by research in Medical Laboratory Technology (615 citations), Pharmacology (3.7k citations) and Radiological and Ultrasound Technology (892 citations). Arun Garg has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Thomas Waters, Vern Putz‐Anderson, Lawrence J. Fine, Jay Kapellusch, Don B. Chaffin, J. Steven Moore, Kurt T. Hegmann, Gary D. Herrin, J. Steven Moore and Matthew S. Thiese. Their work appears in journals such as Journal of Biomechanics, Journal of Ethnopharmacology and Archives of Physical Medicine and Rehabilitation.

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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