Sujay Kakarmath

36 total papers · 1.3k total citations
13 papers, 302 citations indexed

About

Sujay Kakarmath is a scholar working on Epidemiology, Health Information Management and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Sujay Kakarmath has authored 13 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Health Information Management and 3 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Sujay Kakarmath's work include Global Public Health Policies and Epidemiology (3 papers), Machine Learning in Healthcare (2 papers) and Health Literacy and Information Accessibility (2 papers). Sujay Kakarmath is often cited by papers focused on Global Public Health Policies and Epidemiology (3 papers), Machine Learning in Healthcare (2 papers) and Health Literacy and Information Accessibility (2 papers). Sujay Kakarmath collaborates with scholars based in United States, France and United Kingdom. Sujay Kakarmath's co-authors include Kamal Jethwani, Joseph C. Kvedar, Stephen Agboola, Sara Golas, Jennifer Felsted, Jumpei Sato, Toru Hisamitsu, Takuma Shibahara, Yogeshwar Kalkonde and Mahesh Deshmukh and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Stroke.

In The Last Decade

Sujay Kakarmath

12 papers receiving 291 citations

Author Peers

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

Author						Papers	Cites
Sujay Kakarmath	96	94	83	76	36	13	302
Jarrod Frizzell	143 1.5×	82 0.9×	67 0.8×	67 0.9×	34 0.9×	13	296
Piotr Jaroslaw Chmura	43 0.4×	142 1.5×	51 0.6×	104 1.4×	38 1.1×	14	328
Xingzhi Sun	83 0.9×	85 0.9×	23 0.3×	39 0.5×	36 1.0×	17	311
Jionglin Wu	37 0.4×	160 1.7×	121 1.5×	56 0.7×	13 0.4×	17	366
Julian S. Haimovich	171 1.8×	55 0.6×	42 0.5×	54 0.7×	44 1.2×	15	365
Ajit Londhe	90 0.9×	42 0.4×	35 0.4×	40 0.5×	10 0.3×	9	361
Vinod C. Kaggal	28 0.3×	127 1.4×	56 0.7×	27 0.4×	52 1.4×	21	304
Patrick Doupé	34 0.4×	53 0.6×	30 0.4×	35 0.5×	22 0.6×	11	266
Zahra Daar	44 0.5×	93 1.0×	75 0.9×	70 0.9×	11 0.3×	13	266
Le Zheng	33 0.3×	74 0.8×	48 0.6×	73 1.0×	28 0.8×	12	286

Countries citing papers authored by Sujay Kakarmath

Since Specialization

Citations

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

Fields of papers citing papers by Sujay Kakarmath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujay Kakarmath

This figure shows the co-authorship network connecting the top 25 collaborators of Sujay Kakarmath. A scholar is included among the top collaborators of Sujay Kakarmath 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 Sujay Kakarmath. Sujay Kakarmath 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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