Shubhada Maitra

31 total papers · 836 total citations
20 papers, 547 citations indexed

About

Shubhada Maitra is a scholar working on Clinical Psychology, Psychiatry and Mental health and General Health Professions. According to data from OpenAlex, Shubhada Maitra has authored 20 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Clinical Psychology, 9 papers in Psychiatry and Mental health and 7 papers in General Health Professions. Recurrent topics in Shubhada Maitra's work include Suicide and Self-Harm Studies (11 papers), Psychosomatic Disorders and Their Treatments (6 papers) and Child and Adolescent Psychosocial and Emotional Development (5 papers). Shubhada Maitra is often cited by papers focused on Suicide and Self-Harm Studies (11 papers), Psychosomatic Disorders and Their Treatments (6 papers) and Child and Adolescent Psychosocial and Emotional Development (5 papers). Shubhada Maitra collaborates with scholars based in India, Belgium and United States. Shubhada Maitra's co-authors include Koen Luyckx, Laurence Claes, Amarendra Gandhi, Glenn Kiekens, Imke Baetens, Stephen L. Schensul, Ann Berens, Ellen Sleuwaegen, Bonnie K. Nastasi and Luc Goossens and has published in prestigious journals such as Personality and Individual Differences, Comprehensive Psychiatry and Journal of Child and Family Studies.

In The Last Decade

Shubhada Maitra

20 papers receiving 517 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shubhada Maitra	394	138	88	84	69	20	547
Yukari Seko	268 0.7×	49 0.4×	94 1.1×	63 0.8×	127 1.8×	33	503
Robert I. Yufit	370 0.9×	59 0.4×	125 1.4×	77 0.9×	74 1.1×	12	481
Olga Sutherland	340 0.9×	101 0.7×	158 1.8×	72 0.9×	72 1.0×	34	498
Susan Picard	413 1.0×	103 0.7×	160 1.8×	44 0.5×	58 0.8×	11	509
Ellen Bush	287 0.7×	59 0.4×	139 1.6×	46 0.5×	146 2.1×	16	538
Patrick Meehan	303 0.8×	38 0.3×	101 1.1×	105 1.3×	86 1.2×	20	546
Marian L. MacDonald	286 0.7×	76 0.6×	107 1.2×	40 0.5×	58 0.8×	24	465
Daniel L. Hollar	511 1.3×	123 0.9×	223 2.5×	58 0.7×	75 1.1×	9	574
James T. Barter	334 0.8×	63 0.5×	109 1.2×	85 1.0×	90 1.3×	33	537
V. Rotsika	410 1.0×	60 0.4×	109 1.2×	64 0.8×	73 1.1×	17	546

Countries citing papers authored by Shubhada Maitra

Since Specialization

Citations

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

Fields of papers citing papers by Shubhada Maitra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubhada Maitra

This figure shows the co-authorship network connecting the top 25 collaborators of Shubhada Maitra. A scholar is included among the top collaborators of Shubhada Maitra 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 Shubhada Maitra. Shubhada Maitra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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