Jayesh Kamath

1.4k total citations
35 papers, 862 citations indexed

About

Jayesh Kamath is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Psychiatry and Mental health. According to data from OpenAlex, Jayesh Kamath has authored 35 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Experimental and Cognitive Psychology, 14 papers in Applied Psychology and 11 papers in Psychiatry and Mental health. Recurrent topics in Jayesh Kamath's work include Digital Mental Health Interventions (14 papers), Mental Health Research Topics (12 papers) and Sleep and related disorders (5 papers). Jayesh Kamath is often cited by papers focused on Digital Mental Health Interventions (14 papers), Mental Health Research Topics (12 papers) and Sleep and related disorders (5 papers). Jayesh Kamath collaborates with scholars based in United States, United Kingdom and Canada. Jayesh Kamath's co-authors include Andrew Winokur, Alexander Russell, Jinbo Bi, Shweta Ware, Athanasios Bamis, Chaoqun Yue, Reynaldo Morillo, Jin Lü, Chao Shang and Bing Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pharmacology & Therapeutics and Journal of the American Medical Informatics Association.

In The Last Decade

Jayesh Kamath

33 papers receiving 840 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jayesh Kamath United States 16 295 277 220 115 113 35 862
Rie Tamagawa Canada 17 139 0.5× 92 0.3× 402 1.8× 70 0.6× 126 1.1× 24 1.3k
Yong Jia China 20 136 0.5× 38 0.1× 143 0.7× 194 1.7× 106 0.9× 62 1.2k
Devika R. Jutagir United States 17 71 0.2× 51 0.2× 428 1.9× 271 2.4× 174 1.5× 31 1.1k
Nicole J. Wolf United States 8 46 0.2× 43 0.2× 121 0.6× 47 0.4× 54 0.5× 9 699
Ayşe Kurtulmuş Türkiye 10 224 0.8× 36 0.1× 68 0.3× 90 0.8× 23 0.2× 25 957
Katherine A. Duggan United States 18 359 1.2× 41 0.1× 26 0.1× 45 0.4× 45 0.4× 63 1.1k
Ellen Margrethe Christensen Denmark 23 706 2.4× 663 2.4× 25 0.1× 1.1k 9.5× 67 0.6× 58 2.0k
Andrew Brand United Kingdom 18 97 0.3× 42 0.2× 40 0.2× 255 2.2× 36 0.3× 36 804
Yue Ma United States 18 100 0.3× 60 0.2× 26 0.1× 203 1.8× 32 0.3× 56 1.4k
Muhammad Abid Azam Canada 14 62 0.2× 35 0.1× 80 0.4× 32 0.3× 33 0.3× 31 641

Countries citing papers authored by Jayesh Kamath

Since Specialization
Citations

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

Fields of papers citing papers by Jayesh Kamath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayesh Kamath

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

All Works

20 of 20 papers shown
1.
Patel, Parit A., Reynaldo Morillo, Shweta Ware, et al.. (2025). Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones. ACM Transactions on Intelligent Systems and Technology.
2.
Patel, Parit A., Jinbo Bi, Jayesh Kamath, et al.. (2025). Smartphone Data Gathered Early in Depression Treatment Predicts Treatment Outcome. 93–104.
3.
Patel, Parit A., Md Ishtyaq Mahmud, Jinbo Bi, et al.. (2024). Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement. 13–24. 1 indexed citations
4.
Patel, Parit A., Reynaldo Morillo, Shweta Ware, et al.. (2023). Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(3). 1–21. 3 indexed citations
5.
Kamath, Jayesh, et al.. (2022). Digital phenotyping in depression diagnostics: Integrating psychiatric and engineering perspectives. World Journal of Psychiatry. 12(3). 393–409. 27 indexed citations
6.
Yue, Chaoqun, Shweta Ware, Reynaldo Morillo, et al.. (2020). Automatic depression prediction using Internet traffic characteristics on smartphones. Smart Health. 18. 100137–100137. 30 indexed citations
7.
Yue, Chaoqun, Shweta Ware, Reynaldo Morillo, et al.. (2018). Fusing Location Data for Depression Prediction. IEEE Transactions on Big Data. 7(2). 355–370. 26 indexed citations
8.
Saligan, Leorey N., Kärin Olson, Kristin Filler, et al.. (2015). Erratum to: The biology of cancer-related fatigue: a review of the literature. Supportive Care in Cancer. 23(9). 2853–2853. 6 indexed citations
9.
Kamath, Jayesh, et al.. (2015). Sleep Disturbances in Schizophrenia. Psychiatric Clinics of North America. 38(4). 777–792. 28 indexed citations
10.
Kamath, Jayesh, et al.. (2015). Sleep Disturbances in Patients with Medical Conditions. Psychiatric Clinics of North America. 38(4). 825–841. 13 indexed citations
11.
Saligan, Leorey N., Kärin Olson, Kristin Filler, et al.. (2015). The biology of cancer-related fatigue: a review of the literature. Supportive Care in Cancer. 23(8). 2461–2478. 215 indexed citations
12.
Winokur, Andrew & Jayesh Kamath. (2015). Sleep Disorders and Mental Health. Psychiatric Clinics of North America. 38(4). xiii–xiv. 5 indexed citations
13.
Pachman, Deirdre R., James C. Watson, Maryam B. Lustberg, et al.. (2014). Management options for established chemotherapy-induced peripheral neuropathy. Supportive Care in Cancer. 22(8). 2281–2295. 37 indexed citations
14.
Kamath, Jayesh, Richard Feinn, & Andrew Winokur. (2011). Thyrotropin-releasing hormone as a treatment for cancer-related fatigue: a randomized controlled study. Supportive Care in Cancer. 20(8). 1745–1753. 14 indexed citations
15.
Kamath, Jayesh, Wanli Zhang, Karen Kesten, et al.. (2011). Algorithm-Driven Pharmacological Management of Bipolar Disorder in Connecticut Prisons. International Journal of Offender Therapy and Comparative Criminology. 57(2). 251–264. 9 indexed citations
16.
Kamath, Jayesh, Wanli Zhang, Karen Kesten, et al.. (2010). Best Practices: Disseminating Best Practices for Bipolar Disorder Treatment in a Correctional Population. Psychiatric Services. 61(9). 865–867. 8 indexed citations
17.
DeMartinis, Nicholas, Jayesh Kamath, & Andrew Winokur. (2009). New Approaches for the Treatment of Sleep Disorders. Advances in pharmacology. 57. 187–235. 16 indexed citations
18.
Kamath, Jayesh, George G. Yarbrough, Arthur J. Prange, & Andrew Winokur. (2008). The thyrotropin-releasing hormone (TRH)–immune system homeostatic hypothesis. Pharmacology & Therapeutics. 121(1). 20–28. 41 indexed citations
19.
Kamath, Jayesh, et al.. (2007). Thyrotropin-releasing hormone (TRH) in the neuroaxis: Therapeutic effects reflect physiological functions and molecular actions. Medical Hypotheses. 69(6). 1249–1256. 20 indexed citations
20.
Mohr, David N., et al.. (2003). Speech Recognition as a Transcription Aid: A Randomized Comparison With Standard Transcription. Journal of the American Medical Informatics Association. 10(1). 85–93. 41 indexed citations

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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