Supreeth P. Shashikumar

1.9k total citations · 1 hit paper
40 papers, 1.2k citations indexed

About

Supreeth P. Shashikumar is a scholar working on Epidemiology, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Supreeth P. Shashikumar has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 24 papers in Artificial Intelligence and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Supreeth P. Shashikumar's work include Sepsis Diagnosis and Treatment (27 papers), Machine Learning in Healthcare (24 papers) and Clinical Reasoning and Diagnostic Skills (10 papers). Supreeth P. Shashikumar is often cited by papers focused on Sepsis Diagnosis and Treatment (27 papers), Machine Learning in Healthcare (24 papers) and Clinical Reasoning and Diagnostic Skills (10 papers). Supreeth P. Shashikumar collaborates with scholars based in United States, United Kingdom and China. Supreeth P. Shashikumar's co-authors include Shamim Nemati, Gari D. Clifford, Ashish Sharma, Gabriel Wardi, Matthew A. Reyna, Amit Shah, Christopher S. Josef, Andre L. Holder, M. Brandon Westover and Russell Jeter and has published in prestigious journals such as Scientific Reports, CHEST Journal and Critical Care Medicine.

In The Last Decade

Supreeth P. Shashikumar

37 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Impact of a deep learning sepsis prediction model on quality of care and survival

2024 56 citations Supreeth P. Shashikumar, Atul Malhotra et al. npj Digital Medicine profile →

Peers

Countries citing papers authored by Supreeth P. Shashikumar

Since Specialization

Citations

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

Fields of papers citing papers by Supreeth P. Shashikumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Supreeth P. Shashikumar. 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 Supreeth P. Shashikumar. The network helps show where Supreeth P. Shashikumar may publish in the future.

Co-authorship network of co-authors of Supreeth P. Shashikumar

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Development and prospective implementation of a large language model based system for early sepsis prediction 2025 ·npj Digital Medicine ·Supreeth P. Shashikumar, Sina Mohammadi, (unknown), Avi Patel, Gabriel Wardi, Joseph Ahn, Karandeep Singh, (unknown), Shamim Nemati	8
2	Prediction of Readmission Following Sepsis Using Social Determinants of Health 2024 ·Critical Care Explorations ·Fatemeh Amrollahi, (unknown), Supreeth P. Shashikumar, Atul Malhotra, Stephanie Parks Taylor, (unknown), (unknown), (unknown), (unknown), Shamim Nemati, Gabriel Wardi, Angela Meier	4
3	The impact of laboratory data missingness on sepsis diagnosis timeliness 2024 ·JAMIA Open ·Jonathan Y. Lam, (unknown), Supreeth P. Shashikumar, Robert L. Owens, Shamim Nemati, Christopher S. Josef	1
4	Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction 2024 ·Journal of the American Medical Informatics Association ·(unknown), Supreeth P. Shashikumar, Atul Malhotra, Shamim Nemati, Gabriel Wardi	0
5	Development, deployment, and continuous monitoring of a machine learning model to predict respiratory failure in critically ill patients 2024 ·JAMIA Open ·Jonathan Y. Lam, Xiaolei Lu, Supreeth P. Shashikumar, (unknown), Michael Miller, (unknown), (unknown), (unknown), Atul Malhotra, Shamim Nemati	0
6	A Prospective Comparison of Large Language Models for Early Prediction of Sepsis 2024 ·PubMed ·Supreeth P. Shashikumar, Shamim Nemati	2
7	Improving Prediction of Need for Mechanical Ventilation using Cross-Attention 2024 ·PubMed ·(unknown), Supreeth P. Shashikumar, Jonathan Y. Lam, Shamim Nemati	0
8	Development and validation of a deep learning algorithm for the prediction of serum creatinine in critically ill patients 2024 ·JAMIA Open ·(unknown), Jonathan Y. Lam, Supreeth P. Shashikumar, Linda Awdishu, Karandeep Singh, Atul Malhotra, Shamim Nemati, (unknown)	1
9	Development & Deployment of a Real-time Healthcare Predictive Analytics Platform 2023 ·PubMed ·(unknown), Supreeth P. Shashikumar, Fatemeh Amrollahi, (unknown), Michael Hogarth, Shamim Nemati	3
10	Leveraging clinical data across healthcare institutions for continual learning of predictive risk models 2022 ·Scientific Reports ·Fatemeh Amrollahi, Supreeth P. Shashikumar, Andre L. Holder, Shamim Nemati	26
11	Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm 2021 ·Annals of Emergency Medicine ·Gabriel Wardi, (unknown), Andre L. Holder, Supreeth P. Shashikumar, Stephen R. Hayden, Shamim Nemati	62
12	DeepAISE – An interpretable and recurrent neural survival model for early prediction of sepsis 2021 ·Artificial Intelligence in Medicine ·Supreeth P. Shashikumar, Christopher S. Josef, Ashish Sharma, Shamim Nemati	56
13	AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production 2020 ·PubMed ·Fatemeh Amrollahi, Supreeth P. Shashikumar, Pradeeban Kathiravelu, Ashish Sharma, Shamim Nemati	8
14	Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019 2019 ·Computing in Cardiology Conference ·Matthew A. Reyna, (unknown), Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford	31
15	Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019 2019 ·Computing in cardiology ·Matthew A. Reyna, Supreeth P. Shashikumar, Benjamin Moody, (unknown), Ashish Sharma, Shamim Nemati, Gari D. Clifford	105
16	Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network 2019 ·Physiological Measurement ·Qichen Li, Chengyu Liu, Qiao Li, Supreeth P. Shashikumar, Shamim Nemati, (unknown), Gari D. Clifford	29
17	DeepAISE on FHIR — An Interoperable Real-Time Predictive Analytic Platform for Early Prediction of Sepsis 2018 ·American Medical Informatics Association Annual Symposium ·(unknown), Fatemeh Amrollahi, (unknown), Supreeth P. Shashikumar, Ashish Sharma, Shamim Nemati	1
18	Multiscale network dynamics between heart rate and locomotor activity are altered in schizophrenia 2018 ·Physiological Measurement ·Erik Reinertsen, Supreeth P. Shashikumar, Amit Shah, Shamim Nemati, Gari D. Clifford	11
19	Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics 2017 ·Journal of Electrocardiology ·Supreeth P. Shashikumar, Matthew D. Stanley, (unknown), Qiao Li, Andre L. Holder, Gari D. Clifford, Shamim Nemati	110
20	Multiscale network representation of physiological time series for early prediction of sepsis 2017 ·Physiological Measurement ·Supreeth P. Shashikumar, Qiao Li, Gari D. Clifford, Shamim Nemati	37

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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