Rishikesan Kamaleswaran

2.3k citations

117 papers · 1.1k indexed · h-index 16

Health Informatics top 2%
Family Practice top 5%
Health Information Management top 2%
- Electronic Health Records Systems 8
Critical Care and Intensive Care Medicine top 5%
- Intensive Care Unit Cognitive Disorders 8
Epidemiology top 10%
- Sepsis Diagnosis and Treatment 42
Artificial Intelligence
- Machine Learning in Healthcare 22
Surgery
- Hemodynamic Monitoring and Therapy 16
- Healthcare Technology and Patient Monitoring 14
Pulmonary and Respiratory Medicine
- Respiratory Support and Mechanisms 15
Cardiology and Cardiovascular Medicine
- Heart Rate Variability and Autonomic Control 9

Co-authors: Oğuz Akbilgiç Ruhi Mahajan Robert L. Davis Akram Mohammed Franco van Wyk Anahita Khojandi Azade Tabaie Carolyn McGregor
Cited by: Health Informatics Family Practice Health Information Management
Journals: SHILAP Revista de lepidopterología (5 papers)PLoS ONE (1 paper)PEDIATRICS (1 paper)
Partner nations: United States Canada United Kingdom

In The Last Decade

Rishikesan Kamaleswaran

103 papers receiving 1.1k citations

Peers

Countries citing papers authored by Rishikesan Kamaleswaran

Since Specialization

Citations

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

Fields of papers citing papers by Rishikesan Kamaleswaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rishikesan Kamaleswaran, 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 Rishikesan Kamaleswaran Line = papers co-authored together Rishikesan Kamaleswaran links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Machine learning model for daily prediction of pediatric sepsis using Phoenix criteria Pediatric Research ·Daniela Chanci,Jocelyn R. Grunwell,Alireza Rafiei,Stephanie R. Brown,Michael J. Ripple,Natalie R. Bishop,Prakadeshwari Rajapreyar,Lisa Lima,Rishikesan Kamaleswaran	2025	0
2	Neutrophil dysregulation differentiates pediatric septic shock biomarker-based mortality-risk strata: insights from weighted gene co-expression network and transcriptomic analyses Frontiers in Immunology ·Leland Dunwoodie,Min Huang,A. R. Moore,Natalja L. Stanski,Stephen W. Standage,Jennifer Kaplan,Basilia Zingarelli,Kelli Harmon,Julie C. Fitzgerald,Scott L. Weiss,Michael T. Bigham,Adam J. Schwarz,Riad Lutfi,Neal J. Thomas,Bereketeab Haileselassie,Parag Jain,Timothy E. Sweeney,Rishikesan Kamaleswaran,Mihir R. Atreya,Andrew J. Lautz	2025	0
3	Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy ·Kelli Keats,Shiyuan Deng,Xianyan Chen,Tianyi Zhang,John W. Devlin,David J. Murphy,Susan Smith,Brian Murray,Rishikesan Kamaleswaran,Amoreena Most,Andrea Sikora,(unknown)	2025	2
4	Improving clinical decision support through interpretable machine learning and error handling in electronic health records Journal of the American Medical Informatics Association ·Mehak Arora,Hassan Mortagy,Nathan Dwarshuis,Jeffrey Wang,Philip Yang,Andre L. Holder,Swati Gupta,Rishikesan Kamaleswaran	2025	0
5	Association of the child opportunity index with in-hospital mortality and persistence of organ dysfunction at one week after onset of Phoenix Sepsis among children admitted to the pediatric intensive care unit with suspected infection PLOS Digital Health ·Ronald Moore,Daniela Chanci,Stephanie R. Brown,Michael J. Ripple,Natalie R. Bishop,Jocelyn R. Grunwell,Rishikesan Kamaleswaran	2025	0
6	LuGSAM: a novel framework for integrating text prompts to Segment Anything Model (SAM) for segmentation tasks of ICU chest x-rays Multimedia Tools and Applications ·R Dhanush Babu,R. Sridhar,Pulakesh Upadhyaya,Rishikesan Kamaleswaran	2025	0
7	Clinicians’ Perceptions and Potential Applications of Robotics for Task Automation in Critical Care: Qualitative Study Journal of Medical Internet Research ·J. Song,R. Sridhar,Darlene Rogers,Cheryl Hiddleson,Carolyn Davis,Tina Lynn Holden,Shanna Ramsey-Haynes,Lisa Reif,John P. Swann,Craig S. Jabaley,Mary Gullatte,Rishikesan Kamaleswaran	2025	2
8	Tackling the small imbalanced horizontal dataset regressions by Stability Selection and SMOGN: a case study of ventilation-free days prediction in the pediatric intensive care unit and the importance of PRISM International Journal of Medical Informatics ·Milad Ghiasi Rad,Alireza Rafiei,Jocelyn R. Grunwell,Rishikesan Kamaleswaran	2025	0
9	Association between comorbidities at ICU admission and post-Sepsis physical impairment: A retrospective cohort study Journal of Critical Care ·Seibi Kobara,Ryohei Yamamoto,Milad Ghiasi Rad,Jocelyn R. Grunwell,Nao Hikota,Y Uzawa,Yoshiro Hayashi,Craig M. Coopersmith,Rishikesan Kamaleswaran	2024	1
10	Riemannian manifold-based geometric clustering of continuous glucose monitoring to improve personalized diabetes management Computers in Biology and Medicine ·J. Song,J. McNeany,Yifei Wang,Tanicia Daley,Arlene A. Stecenko,Rishikesan Kamaleswaran	2024	4
11	PROGNOSTIC ACCURACY OF MACHINE LEARNING MODELS FOR IN-HOSPITAL MORTALITY AMONG CHILDREN WITH PHOENIX SEPSIS ADMITTED TO THE PEDIATRIC INTENSIVE CARE UNIT Shock ·Ronald Moore,Daniela Chanci,Stephanie Brown,Michael J. Ripple,Natalie R. Bishop,Jocelyn R. Grunwell,Rishikesan Kamaleswaran	2024	3
12	682 A machine learning approach with silhouette scoring of continuous glucose monitoring enables repeat measure assessment of changes in the glycemic profile in cystic fibrosis. Journal of Cystic Fibrosis ·J. Song,T. Daley,J. McNeany,Rishikesan Kamaleswaran,Arlene A. Stecenko	2024	2
13	Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit Computers in Biology and Medicine ·Alireza Rafiei,Milad Ghiasi Rad,Andrea Sikora,Rishikesan Kamaleswaran	2023	12
14	Metabolomics identifies disturbances in arginine, phenylalanine, and glycine metabolism as differentiating features of exacerbating atopic asthma in children SHILAP Revista de lepidopterología ·Kirsten A. Cottrill,Joshua D. Chandler,Seibi Kobara,Susan T. Stephenson,Ahmad F. Mohammad,Mallory Tidwell,Carrie Mason,Morgan Van Dresser,James Patrignani,Rishikesan Kamaleswaran,Anne M. Fitzpatrick,Jocelyn R. Grunwell	2023	10
15	Synthetic seismocardiogram generation using a transformer-based neural network Journal of the American Medical Informatics Association ·Mohammad Nikbakht,Asim H. Gazi,Jonathan Zia,Sungtae An,David J. Lin,Omer T. Inan,Rishikesan Kamaleswaran	2023	4
16	Causal Graph Discovery From Self and Mutually Exciting Time Series IEEE Journal on Selected Areas in Information Theory ·Song Wei,Yao Xie,Christopher S. Josef,Rishikesan Kamaleswaran	2023	1
17	Neurocritical Care Performance Measures Derived from Electronic Health Record Data are Feasible and Reveal Site-Specific Variation: A CHoRUS Pilot Project Neurocritical Care ·Sophie E. Ack,Shamelia Y. Loiseau,Guneeti Sharma,Joshua N. Goldstein,India A. Lissak,Sarah Duffy,Edilberto Amorim,Paul Vespa,J. Randall Moorman,Xiao Hu,Gilles Clermont,Soojin Park,Rishikesan Kamaleswaran,Brandon Foreman,Eric S. Rosenthal	2022	5
18	Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible SHILAP Revista de lepidopterología ·Tyler J. Loftus,Patrick Tighe,Tezcan Ozrazgat‐Baslanti,John P. Davis,Matthew M. Ruppert,Yuanfang Ren,Benjamin Shickel,Rishikesan Kamaleswaran,William R. Hogan,J. Randall Moorman,Gilbert R. Upchurch,Parisa Rashidi,Azra Bihorac	2022	31
19	Estimating the Prevalence of Intimate Partner Violence at an Urban Hospital Before and During the COVID-19 Pandemic Using a Novel Natural Language Processing Algorithm Violence and Gender ·Amy Zeidan,Dabney P. Evans,Randi N. Smith,Azade Tabaie,Rishikesan Kamaleswaran	2022	1
20	Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest Computing in cardiology ·Ruhi Mahajan,Rishikesan Kamaleswaran,A Howe,Oğuz Akbilgiç	2017	35

About Rishikesan Kamaleswaran

Rishikesan Kamaleswaran is a scholar working on Critical Care and Intensive Care Medicine, Health Informatics and Health Information Management, having authored 117 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (42 papers), Machine Learning in Healthcare (22 papers), Hemodynamic Monitoring and Therapy (16 papers), Respiratory Support and Mechanisms (15 papers), Healthcare Technology and Patient Monitoring (14 papers), Heart Rate Variability and Autonomic Control (9 papers), Electronic Health Records Systems (8 papers) and Intensive Care Unit Cognitive Disorders (8 papers). The work is most often cited by research in Health Informatics (87 citations), Family Practice (60 citations) and Health Information Management (67 citations). Rishikesan Kamaleswaran has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Oğuz Akbilgiç, Ruhi Mahajan, Robert L. Davis, Akram Mohammed, Franco van Wyk, Anahita Khojandi, Azade Tabaie, Carolyn McGregor, Andre L. Holder and Alina Nico West. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.

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