Sunil Bhar

2.0k citations
96 papers · 1.4k · h-index 22

Impact in

Papers in

Sunil Bhar

89 papers receiving 1.3k citations

Peers

Sunil Bhar
Comparison fields: 5 of 98
  • Neuropsychology and Physiological Psychology 72
  • Clinical Psychology 666
  • Experimental and Cognitive Psychology 218
  • Psychiatry and Mental health 174
  • Applied Psychology 56
Replace Sylvie Lapierre with:
Sylvie Lapierre Canada
Naoko Kishita United Kingdom
Rosa Romero‐Moreno Spain
Teresa Mayordomo Spain
Sylke Andreas Germany
Kamel Gana France
Ann M. Steffen United States
Mark P. Rubert United States
Lena Spangenberg Germany
Nicholas Leigh-Hunt United Kingdom
Sunil Bhar relative to Sylvie Lapierre Canada Sylvie Lapierre's profile →
Citations per field
00.5×1.5×1.8×
Sylvie Lapierre · 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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007108
2 200894
3 201057
4 201152
5 200851
6 201148
7 201647
8 199646
9 202142
10 201736
11 201135
12 201935
13 201431
14 201031
15 202130
16 201630
17 200826
18 202125
19 200925
20 201124

About Sunil Bhar

Sunil Bhar is a scholar working on Clinical Psychology, General Health Professions, Social Psychology, Psychiatry and Mental health and Neuropsychology and Physiological Psychology, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (15 papers), Aging and Gerontology Research (15 papers), Dementia and Cognitive Impairment Research (14 papers), Obsessive-Compulsive Spectrum Disorders (9 papers), Mental Health Treatment and Access (8 papers), Identity, Memory, and Therapy (7 papers), Suicide and Self-Harm Studies (7 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (72 citations), Clinical Psychology (666 citations), Experimental and Cognitive Psychology (218 citations), Psychiatry and Mental health (174 citations) and Applied Psychology (56 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, Abdullah Al Mahmud, Colleen Doyle, 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, International Psychogeriatrics and Behavioural and Cognitive Psychotherapy.

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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