Uli K. Chettipally

2.8k citations
42 papers · 1.9k indexed · 1 hit paper · h-index 21
Topics
Sepsis Diagnosis and Treatment (13 papers)Machine Learning in Healthcare (8 papers)Emergency and Acute Care Studies (8 papers)

In The Last Decade

Uli K. Chettipally

41 papers receiving 1.8k citations

Hit Papers

Prediction of Sepsis in the Intensive Care Unit With Mini...20162026201920222016100200300

Peers

Uli K. Chettipally
Comparison fields: 5 of 100
  • Epidemiology 888
  • Artificial Intelligence 709
  • Emergency Medicine 366
  • Surgery 325
  • Radiology, Nuclear Medicine and Imaging 232
Replace David N. Hager with:
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Uli K. Chettipally relative to David N. Hager United States David N. Hager's profile →
Citations per field
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David N. Hager · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 15
2 14
3 23
4 115
5 229
6 102
7
Increasing Safe Outpatient Management of Emergency Department Patients With Pulmonary Embolism
2
8 43
9 6
10 17
11
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approachbreakdown →
339
12 184
13 42
14 12
15 3
16 20
17 5
18 30
19 126
20 9

About Uli K. Chettipally

Uli K. Chettipally is a scholar working on Issues, ethics and legal aspects, Emergency Medicine and Internal Medicine, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (13 papers), Machine Learning in Healthcare (8 papers) and Emergency and Acute Care Studies (8 papers). The work is most often cited by research in Health Informatics (134 citations), Family Practice (176 citations) and Health Information Management (203 citations). Uli K. Chettipally has collaborated with scholars based in United States and United Kingdom. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Journal of the American College of Cardiology.

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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