Gayatri Aravind

457 citations
22 papers · 329 indexed · h-index 9
Topics
Stroke Rehabilitation and Recovery (9 papers)Spatial Neglect and Hemispheric Dysfunction (5 papers)Musculoskeletal pain and rehabilitation (4 papers)
Partner nations
CanadaIndiaAustralia

In The Last Decade

Gayatri Aravind

18 papers receiving 322 citations

Peers

Gayatri Aravind
Comparison fields: 5 of 80
  • Rehabilitation 114
  • Cognitive Neuroscience 98
  • Epidemiology 69
  • Physical Therapy, Sports Therapy and Rehabilitation 61
  • Psychiatry and Mental health 49
Replace Samir Sangani with:
Samir Sangani Canada
G. Duncan United Kingdom
Andréanne K. Blanchette Canada
Sanghee Moon United States
Chiara Simbolotti Italy
L. Oujamaa France
Gilles Bosser France
Mirjam Bonanno Italy
Christoph M. Kanzler Switzerland
Jody Feld United States
Gayatri Aravind relative to Samir Sangani Canada Samir Sangani's profile →
Citations per field
00.5×8.6×
Samir Sangani · 1×
Citations per year

Countries citing papers authored by Gayatri Aravind

Since Specialization
Citations

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

Fields of papers citing papers by Gayatri Aravind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gayatri Aravind

This figure shows the co-authorship network connecting the top 25 collaborators of Gayatri Aravind. A scholar is included among the top collaborators of Gayatri Aravind 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 Gayatri Aravind. Gayatri Aravind 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 0
3 8
4 3
5 3
6 2
7 2
8 11
9 0
10 33
11 5
12 1
13 0
14 34
15
Risk of selection bias and misrepresentation of stroke populations with dichotomous analyses of the modified Rankin Scale in stroke trials
99
16 14
17 39
18 13
19 28
20 1

About Gayatri Aravind

Gayatri Aravind is a scholar working on Rehabilitation, Physical Therapy, Sports Therapy and Rehabilitation and Anthropology, having authored 22 papers that have together received 329 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (9 papers), Spatial Neglect and Hemispheric Dysfunction (5 papers) and Musculoskeletal pain and rehabilitation (4 papers). The work is most often cited by research in Rehabilitation (114 citations), Physical Therapy, Sports Therapy and Rehabilitation (61 citations) and Cognitive Neuroscience (98 citations). Gayatri Aravind has collaborated with scholars based in Canada, India and Australia. Frequent co-authors include Anouk Lamontagne, Peter M. Rothwell, Samir Sangani, Joyce Fung, Nancy M. Salbach, Jean Michelle Legasto-Mulvale, G. Saravana Ilango, Jill I. Cameron, Ian D. Graham and Michelle Ploughman. Their work appears in journals such as SHILAP Revista de lepidopterología, Gait & Posture and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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