David Kao

4.6k citations
122 papers · 3.1k · h-index 32

Impact in

Papers in

David Kao

118 papers receiving 3.0k citations

Peers

David Kao
Comparison fields: 5 of 165
  • Computer Graphics and Computer-Aided Design 308
  • Cardiology and Cardiovascular Medicine 1.2k
  • Health Informatics 56
  • Health Information Management 84
  • Computer Vision and Pattern Recognition 334
Replace D. Kalra with:
D. Kalra India
Feng Xie United States
Shuyang Zhang China
Piotr J. Slomka United States
Bo Hu United States
Damini Dey United States
Pim A. de Jong Netherlands
Qi Long United States
Hooshang Kangarloo United States
Alain Venot France
David Kao relative to D. Kalra India D. Kalra's profile →
Citations per field
00.5×5.4×
D. Kalra · 1×
Citations per year

Countries citing papers authored by David Kao

Since Specialization
Citations

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

Fields of papers citing papers by David Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015195
2 2020182
3 2019129
4 2004114
5 2010110
6 2013107
7 2020105
8 2000100
9 200793
10 200284
11 201781
12 200678
13 200573
14 202270
15 201757
16 201554
17 201649
18 200347
19 201347
20 200843

About David Kao

David Kao is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Surgery and General Health Professions, having authored 122 papers that have together received 3.1k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (14 papers), Computer Graphics and Visualization Techniques (10 papers), Cardiac pacing and defibrillation studies (7 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiovascular Issues in Pregnancy (6 papers), Advanced Vision and Imaging (6 papers), Electronic Health Records Systems (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (308 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Health Informatics (56 citations), Health Information Management (84 citations) and Computer Vision and Pattern Recognition (334 citations). David Kao has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alex Pang, JoAnn Lindenfeld, Laura Stevens, Vivek Kumar Verma, Lesley H. Curtis, Mori J. Krantz, Bobak J. Mortazavi, Rahul C. Deo, Eileen Hsich and Michael R. Bristow. Their work appears in journals such as Circulation, JACC Heart Failure, Journal of Cardiac Failure, PLoS ONE 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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