Karandeep Singh

9.0k citations
106 papers · 2.6k indexed · 2 hit papers · h-index 27
Topics
Machine Learning in Healthcare (16 papers)Sepsis Diagnosis and Treatment (13 papers)Artificial Intelligence in Healthcare and Education (9 papers)

In The Last Decade

Karandeep Singh

96 papers receiving 2.5k citations

Hit Papers

External Validation of a Widely Implemented Proprietary S...202120262022202420212024100200300400

Peers

Karandeep Singh
Comparison fields: 5 of 161
  • Artificial Intelligence 572
  • General Health Professions 529
  • Health Informatics 523
  • Epidemiology 427
  • Radiology, Nuclear Medicine and Imaging 266
Replace Mintu P. Turakhia with:
Mintu P. Turakhia United States
Arnold Milstein United States
Thomas P. A. Debray Netherlands
Chris Sidey‐Gibbons United States
Suchi Saria United States
Joie Ensor United Kingdom
Jie Ma China
Amol S. Navathe United States
Genevieve B. Melton United States
Jan Y. Verbakel Belgium
Karandeep Singh relative to Mintu P. Turakhia United States Mintu P. Turakhia's profile →
Citations per field
00.5×1.5×
Mintu P. Turakhia · 1×
Citations per year

Countries citing papers authored by Karandeep Singh

Since Specialization
Citations

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

Fields of papers citing papers by Karandeep Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karandeep Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Karandeep Singh. A scholar is included among the top collaborators of Karandeep Singh 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 Karandeep Singh. Karandeep Singh 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 3
2 1
3 1
4 4
5 0
6 26
7 16
8 16
9 23
10 14
11 4
12 7
13 49
14 6
15 37
16 18
17
Motorcycle Riding Safety
1
18 13
19 5
20
Carcinosarcoma of Breast
1

About Karandeep Singh

Karandeep Singh is a scholar working on Health Informatics, Applied Psychology and Family Practice, having authored 106 papers that have together received 2.6k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (16 papers), Sepsis Diagnosis and Treatment (13 papers) and Artificial Intelligence in Healthcare and Education (9 papers). The work is most often cited by research in Health Informatics (523 citations), Family Practice (129 citations) and Health Information Management (234 citations). Karandeep Singh has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include David W. Bates, Erkin Ötleş, Lisa P. Newmark, John P. Donnelly, Andrew Wong, Muhammad Ghous, Andrew E. Krumm, M. Phillips, Jeffrey S. McCullough and Brahmajee K. Nallamothu. Their work appears in journals such as The Lancet, JAMA and Circulation.

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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