Abel Kho

120 papers receiving 3.0k citations

Peers

Abel Kho
Comparison fields: 5 of 149
  • Health Informatics 156
  • Health Information Management 534
  • Computational Mathematics 32
  • General Health Professions 530
  • Artificial Intelligence 608
Replace Luke V. Rasmussen with:
Luke V. Rasmussen United States
Peggy Peissig United States
Vasa Ćurčin United Kingdom
Samuel J. Wang United States
Jennifer A. Pacheco United States
Ann Marie Návar United States
Jeremy L. Warner United States
Chunhua Weng United States
Vincent Liu United States
Karen I. Kroeker Canada
Abel Kho relative to Luke V. Rasmussen United States Luke V. Rasmussen's profile →
Citations per field
00.5×
Luke V. Rasmussen · 1×
Citations per year

Countries citing papers authored by Abel Kho

Since Specialization
Citations

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

Fields of papers citing papers by Abel Kho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011247
2 2011216
3 2012172
4 2023112
5 2020106
6 2015101
7 201398
8 201290
9 201286
10
Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms.
201171
11 201670
12 201369
13 201869
14 201967
15 201866
16 201662
17 201661
18 201745
19 201745
20 201541

About Abel Kho

Abel Kho is a scholar working on Health Information Management, Computational Mathematics, Applied Microbiology and Biotechnology, Family Practice and General Health Professions, having authored 126 papers that have together received 3.1k indexed citations. Recurring topics across this work include Electronic Health Records Systems (21 papers), Primary Care and Health Outcomes (18 papers), Biomedical Text Mining and Ontologies (13 papers), Health Policy Implementation Science (11 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Healthcare Systems and Technology (8 papers), Clinical practice guidelines implementation (8 papers) and Genetic Associations and Epidemiology (7 papers). The work is most often cited by research in Health Informatics (156 citations), Health Information Management (534 citations), Computational Mathematics (32 citations), General Health Professions (530 citations) and Artificial Intelligence (608 citations). Abel Kho has collaborated with scholars based in United States, Canada and Vietnam. Frequent co-authors include Joshua C. Denny, Jennifer A. Pacheco, Peggy Peissig, Luke V. Rasmussen, Christopher G. Chute, Jyotishman Pathak, Rex L. Chisholm, Kathryn Jackson, Iftikhar J. Kullo and Theresa L. Walunas. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, The Annals of Family Medicine, The Journal of the American Board of Family Medicine and Health Affairs.

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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