Sujay Kakarmath

1.4k total citations
13 papers, 303 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 303 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), Chronic Disease Management Strategies (2 papers) and Machine Learning in Healthcare (2 papers). Sujay Kakarmath is often cited by papers focused on Global Public Health Policies and Epidemiology (3 papers), Chronic Disease Management Strategies (2 papers) and Machine Learning in Healthcare (2 papers). Sujay Kakarmath collaborates with scholars based in United States, France and Tanzania. Sujay Kakarmath's co-authors include Kamal Jethwani, Joseph C. Kvedar, Stephen Agboola, Jennifer Felsted, Sara Golas, Jumpei Sato, Toru Hisamitsu, Takuma Shibahara, Mahesh Deshmukh and Abhay Bang 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 293 citations

Peers

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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13 of 13 papers shown

#	Work	Indexed citations
1	Predicting cardiovascular disease risk using photoplethysmography and deep learning 2024 ·SHILAP Revista de lepidopterología ·Wei‐Hung Weng, Sebastien Baur, (unknown), Christina Chen, (unknown), Sujay Kakarmath, (unknown), (unknown), Cory Y. McLean, Yossi Matias, Greg S. Corrado, Shravya Shetty, (unknown), Yun Liu, Goodarz Danaei, Diego Ardila	6
2	Traumatic cervical spine fracture patterns on CT: a retrospective analysis at a level 1 trauma center 2021 ·Emergency Radiology ·(unknown), (unknown), Christopher P. Bridge, Ryan P. King, Sujay Kakarmath, Mitchel B. Harris, Bharti Khurana	5
3	Radiological and clinical features of traumatic atlanto-occipital dislocation 2021 ·Emergency Radiology ·(unknown), Daniel G. Tobert, Sujay Kakarmath, Mitchel B. Harris, Bharti Khurana	3
4	Association between numeracy and self-rated poor health in 33 high- and upper middle- income countries 2019 ·Preventive Medicine ·Justin Rodgers, Sujay Kakarmath, (unknown), (unknown), S. V. Subramanian	5
5	A prospective study of causes of death in rural Gadchiroli, an underdeveloped district of India (2011-2013) 2019 ·SHILAP Revista de lepidopterología ·Yogeshwar Kalkonde, Mahesh Deshmukh, Sujay Kakarmath, (unknown), (unknown), (unknown), (unknown)	5
6	Validating a Machine Learning Algorithm to Predict 30-Day Re-Admissions in Patients With Heart Failure: Protocol for a Prospective Cohort Study 2018 ·JMIR Research Protocols ·Sujay Kakarmath, Sara Golas, Jennifer Felsted, Joseph C. Kvedar, Kamal Jethwani, Stephen Agboola	9
7	Assessing the Usability of an Automated Continuous Temperature Monitoring Device (iThermonitor) in Pediatric Patients: Non-Randomized Pilot Study 2018 ·JMIR Pediatrics and Parenting ·Sujay Kakarmath, (unknown), Amanda Centi, (unknown), Joseph C. Kvedar, Kamal Jethwani, Stephen Agboola	9
8	A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data 2018 ·BMC Medical Informatics and Decision Making ·Sara Golas, Takuma Shibahara, Stephen Agboola, (unknown), Jumpei Sato, (unknown), Toru Hisamitsu, (unknown), Jennifer Felsted, Sujay Kakarmath, Joseph C. Kvedar, Kamal Jethwani	177
9	Dietary determinants of serum total cholesterol among middle-aged and older adults: a population-based cross-sectional study in Dar es Salaam, Tanzania 2017 ·BMJ Open ·Sujay Kakarmath, Rachel M. Zack, Germana Leyna, Saman Fahimi, Enju Liu, Wafaie Fawzi, (unknown), Japhet Killewo, Frank M. Sacks, Goodarz Danaei	6
10	Association between literacy and self-rated poor health in 33 high- and upper middle-income countries 2017 ·International Journal of Public Health ·Sujay Kakarmath, (unknown), (unknown), Francesca Borgonovi, S. V. Subramanian	9
11	Exploring the Effects of Technology-Enabled Mindfulness and Meditation on Stress Management 2017 ·Iproceedings ·(unknown), Stephen Agboola, Jennifer Felsted, Sujay Kakarmath, Sara Golas, Joseph C. Kvedar, (unknown)	0
12	Clinical, Sonographic, and Pathological Characteristics of RAS-Positive Versus BRAF-Positive Thyroid Carcinoma 2016 ·The Journal of Clinical Endocrinology & Metabolism ·Sujay Kakarmath, Howard T. Heller, (unknown), Edmund S. Cibas, Jeffrey F. Krane, Justine A. Barletta, Neal I. Lindeman, Mary C. Frates, Carol B. Benson, Atul A. Gawande, Nancy L. Cho, Matthew A. Nehs, Francis D. Moore, Ellen Marqusee, (unknown), P. Reed Larsen, Norra Kwong, Trevor E. Angell, Erik K. Alexander	23
13	Stroke Is the Leading Cause of Death in Rural Gadchiroli, India 2015 ·Stroke ·Yogeshwar Kalkonde, Mahesh Deshmukh, (unknown), (unknown), Sujay Kakarmath, (unknown), Abhay Bang	46

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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