Sunil Bhar

1.9k citations
88 papers · 1.2k · h-index 21

Impact in

Papers in

Sunil Bhar

83 papers receiving 1.2k citations

Peers

Sunil Bhar
Comparison fields: 5 of 102
  • Neuropsychology and Physiological Psychology 81
  • Clinical Psychology 708
  • Experimental and Cognitive Psychology 257
  • Psychiatry and Mental health 230
  • Applied Psychology 77
Replace Naoko Kishita with:
Naoko Kishita United Kingdom
Sylke Andreas Germany
Sylvie Lapierre Canada
Rosa Romero‐Moreno Spain
Vanessa Blanco Spain
Lena Spangenberg Germany
Mark P. Rubert United States
Nina Grant United Kingdom
Elizabeth H. Evans United Kingdom
Juan Pedro Serrano Spain
Sunil Bhar relative to Naoko Kishita United Kingdom Naoko Kishita's profile →
Citations per field
00.5×6.8×
Naoko Kishita · 1×
Citations per year

Countries citing papers authored by Sunil Bhar

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Bhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200799
2 200892
3 201054
4 201151
5 200850
6 201644
7 199644
8 201140
9 201736
10 201935
11 202134
12 201134
13 201431
14 201028
15 202128
16 201626
17 200825
18 201124
19 202123
20 202122

About Sunil Bhar

Sunil Bhar is a scholar working on General Health Professions, Clinical Psychology, Psychiatry and Mental health, Neuropsychology and Physiological Psychology and Social Psychology, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Aging and Gerontology Research (20 papers), Dementia and Cognitive Impairment Research (18 papers), Geriatric Care and Nursing Homes (18 papers), Health disparities and outcomes (11 papers), Mental Health Treatment and Access (11 papers), Obsessive-Compulsive Spectrum Disorders (9 papers), Health, psychology, and well-being (8 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (81 citations), Clinical Psychology (708 citations), Experimental and Cognitive Psychology (257 citations), Psychiatry and Mental health (230 citations) and Applied Psychology (77 citations). Sunil Bhar has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michael Kyrios, Aaron T. Beck, Gregory K. Brown, Marjan Ghahramanlou‐Holloway, Colleen Doyle, Abdullah Al Mahmud, Jahar Bhowmik, Amirul Islam, David Dunt and Andrew C. Butler. Their work appears in journals such as Australian Psychologist, Clinical Gerontologist, Australasian Journal on Ageing, Cochrane Database of Systematic Reviews and International Psychogeriatrics.

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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