Uli K. Chettipally

2.8k total citations · 1 hit paper
42 papers, 1.9k citations indexed

About

Uli K. Chettipally is a scholar working on Epidemiology, Emergency Medicine and Surgery. According to data from OpenAlex, Uli K. Chettipally has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 14 papers in Emergency Medicine and 8 papers in Surgery. Recurrent topics in Uli K. Chettipally's work include Sepsis Diagnosis and Treatment (13 papers), Machine Learning in Healthcare (8 papers) and Emergency and Acute Care Studies (8 papers). Uli K. Chettipally is often cited by papers focused on Sepsis Diagnosis and Treatment (13 papers), Machine Learning in Healthcare (8 papers) and Emergency and Acute Care Studies (8 papers). Uli K. Chettipally collaborates with scholars based in United States and United Kingdom. Uli K. Chettipally's co-authors include Ritankar Das, Jacob Calvert, Melissa Jay, Jana Hoffman, Dustin W. Ballard, Lisa Shieh, David R. Vinson, Christopher Barton, Yaniv Kerem and Mitchell D. Feldman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Journal of the American College of Cardiology.

In The Last Decade

Uli K. Chettipally

41 papers receiving 1.8k 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.

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

2016 339 citations Thomas Desautels, Jacob Calvert et al. JMIR Medical Informatics profile →

Peers

Uli K. Chettipally

EPIDE

SURGE

RNMI

David N. Hager United States

Brian W. Pickering United States

Andre L. Holder United States

Jesse D. Raffa United States

Tezcan Ozrazgat‐Baslanti United States

David M. Maslove Canada

L. Nelson Sanchez‐Pinto United States

Ryan Arnold United States

Jacob Calvert United States

Douglas McNair United States

David N. Hager United States

Uli K. Chettipally

599 ×0.7

EPIDE

325 ×0.5

573 ×1.6

460 ×1.4

SURGE

140 ×0.6

RNMI

Citations per year, relative to Uli K. Chettipally Uli K. Chettipally (= 1×) peers David N. Hager

Countries citing papers authored by Uli K. Chettipally

Since Specialization

Citations

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

Fields of papers citing papers by Uli K. Chettipally

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uli K. Chettipally. 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 Uli K. Chettipally. The network helps show where Uli K. Chettipally may publish in the future.

Co-authorship network of co-authors of Uli K. Chettipally

This figure shows the co-authorship network connecting the top 25 collaborators of Uli K. Chettipally. A scholar is included among the top collaborators of Uli K. Chettipally 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 Uli K. Chettipally. Uli K. Chettipally 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

Mohamadlou, Hamid, J.R. Calvert, Sidney Le, et al.. (2019). Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction. Health Informatics Journal. 26(3). 1912–1925. 15 indexed citations

Ekstrom, Heidi L., Elyse O. Kharbanda, Dustin W. Ballard, et al.. (2019). Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN. SHILAP Revista de lepidopterología. 7(1). 15–15. 14 indexed citations

Vinson, David R., Gabriela Vazquez‐Benitez, E. Margaret Warton, et al.. (2019). Validation of the Pediatric Appendicitis Risk Calculator (pARC) in a Community Emergency Department Setting. Annals of Emergency Medicine. 74(4). 471–480. 23 indexed citations

Barton, Christopher, Uli K. Chettipally, Yifan Zhou, et al.. (2019). Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs. Computers in Biology and Medicine. 109. 79–84. 115 indexed citations

Mao, Qingqing, Melissa Jay, Jana Hoffman, et al.. (2018). Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU. BMJ Open. 8(1). e017833–e017833. 229 indexed citations

Mohamadlou, Hamid, Christopher Barton, Uli K. Chettipally, et al.. (2018). Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data. Canadian Journal of Kidney Health and Disease. 5. 2246655494–2246655494. 102 indexed citations

Vinson, David R., Dustin G. Mark, Uli K. Chettipally, et al.. (2018). Increasing Safe Outpatient Management of Emergency Department Patients With Pulmonary Embolism. Annals of Internal Medicine. 2 indexed citations

Mark, Dustin G., Jie Huang, Uli K. Chettipally, et al.. (2018). Performance of Coronary Risk Scores Among Patients With Chest Pain in the Emergency Department. Journal of the American College of Cardiology. 71(6). 606–616. 43 indexed citations

Vinson, David R., E. Margaret Warton, Dustin G. Mark, et al.. (2018). Thromboprophylaxis for Patients with High-risk Atrial Fibrillation and Flutter Discharged from the Emergency Department. Western Journal of Emergency Medicine. 19(2). 346–360. 6 indexed citations

10.

Ballard, Dustin W., Nathan Kuppermann, David R. Vinson, et al.. (2018). Implementation of a Clinical Decision Support System for Children With Minor Blunt Head Trauma Who Are at Nonnegligible Risk for Traumatic Brain Injuries. Annals of Emergency Medicine. 73(5). 440–451. 17 indexed citations

11.

Desautels, Thomas, Jacob Calvert, Jana Hoffman, et al.. (2016). Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach. JMIR Medical Informatics. 4(3). e28–e28. 339 indexed citations breakdown →

12.

Calvert, Jacob, Uli K. Chettipally, Christopher W. Barton, et al.. (2016). A computational approach to early sepsis detection. Computers in Biology and Medicine. 74. 69–73. 184 indexed citations

13.

Calvert, Jacob, Thomas Desautels, Uli K. Chettipally, et al.. (2016). High-performance detection and early prediction of septic shock for alcohol-use disorder patients. Annals of Medicine and Surgery. 8. 50–55. 42 indexed citations

14.

Ballard, Dustin W., Mary Reed, Adina S. Rauchwerger, et al.. (2015). Emergency Department Management of Atrial Fibrillation and Flutter and Patient Quality of Life at One Month Postvisit. Annals of Emergency Medicine. 66(6). 646–654.e2. 12 indexed citations

15.

Vinson, David R., Dustin W. Ballard, Matt Stevenson, et al.. (2014). Predictors of Unattempted Central Venous Catheterization in Septic Patients Eligible for Early Goal-directed Therapy. Western Journal of Emergency Medicine. 15(1). 67–75. 3 indexed citations

16.

Vinson, David R., Dustin W. Ballard, Yun‐Yi Hung, et al.. (2014). Bleeding complications of central venous catheterization in septic patients with abnormal hemostasis. The American Journal of Emergency Medicine. 32(7). 737–742. 20 indexed citations

17.

Offerman, Steven R., Adina S. Rauchwerger, Daniel K. Nishijima, et al.. (2013). Use of an Electronic Medical Record "Dotphrase" Data Template for a Prospective Head Injury Study. Western Journal of Emergency Medicine. 14(2). 109–113. 5 indexed citations

18.

Mark, Dustin G., Yun‐Yi Hung, Steven R. Offerman, et al.. (2012). Nontraumatic Subarachnoid Hemorrhage in the Setting of Negative Cranial Computed Tomography Results: External Validation of a Clinical and Imaging Prediction Rule. Annals of Emergency Medicine. 62(1). 1–10.e1. 30 indexed citations

19.

Nishijima, Daniel K., Steven R. Offerman, Dustin W. Ballard, et al.. (2012). Immediate and Delayed Traumatic Intracranial Hemorrhage in Patients With Head Trauma and Preinjury Warfarin or Clopidogrel Use. Annals of Emergency Medicine. 59(6). 460–468.e7. 126 indexed citations

20.

Ballard, Dustin W., et al.. (2011). Does primary stroke center certification change ED diagnosis, utilization, and disposition of patients with acute stroke?. The American Journal of Emergency Medicine. 30(7). 1152–1162. 9 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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