Deepeshwar Singh

496 citations
51 papers · 347 · h-index 10

Impact in

Papers in

Deepeshwar Singh

45 papers receiving 329 citations

Peers

Deepeshwar Singh
Comparison fields: 5 of 65
  • Clinical Psychology 154
  • Occupational Therapy 21
  • Rehabilitation 24
  • Experimental and Cognitive Psychology 48
  • Cognitive Neuroscience 64
Replace Kristin L. MacGregor with:
Kristin L. MacGregor United States
Liv Helvik Skjærven Norway
Ann H. Newstead United States
L J van Doornen Netherlands
Lieke Schiphof‐Godart Netherlands
C M. Falco United States
Mattes B. Kappert Germany
Toshiya Nagamatsu Japan
Rui Afonso Brazil
Megan E. Holmes United States
Deepeshwar Singh relative to Kristin L. MacGregor United States Kristin L. MacGregor's profile →
Citations per field
00.5×5.3×
Kristin L. MacGregor · 1×
Citations per year

Countries citing papers authored by Deepeshwar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Deepeshwar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201560
2 200846
3 201727
4 201617
5 201815
6 201415
7 201815
8 201413
9 201912
10 201910
11 20149
12 20169
13 20196
14 20226
15 20235
16 20235
17 20225
18 20225
19 20195
20 20205

About Deepeshwar Singh

Deepeshwar Singh is a scholar working on Clinical Psychology, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Social Psychology, having authored 51 papers that have together received 347 indexed citations. Recurring topics across this work include Mindfulness and Compassion Interventions (28 papers), Heart Rate Variability and Autonomic Control (11 papers), COVID-19 and Mental Health (5 papers), Sleep and Wakefulness Research (5 papers), Music Therapy and Health (4 papers), EEG and Brain-Computer Interfaces (4 papers), Sleep and related disorders (4 papers) and Impact of Technology on Adolescents (2 papers). The work is most often cited by research in Clinical Psychology (154 citations), Occupational Therapy (21 citations), Rehabilitation (24 citations), Experimental and Cognitive Psychology (48 citations) and Cognitive Neuroscience (64 citations). Deepeshwar Singh has collaborated with scholars based in India, Singapore and Hong Kong. Frequent co-authors include Pailoor Subramanya, Hongasandra Ramarao Nagendra, N. K. Manjunath, Vikas Kapoor, Shirley Telles, Madhusudan Das, K. V. Naveen, Nilkamal Singh, Bikesh Kumar Singh and Raghuram Nagarathna. Their work appears in journals such as Clinical EEG and Neuroscience, Frontiers in Human Neuroscience, Diabetes Research and Clinical Practice, Frontiers in Psychology and Frontiers in Psychiatry.

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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