David Choi
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Kathryn RoederEdoardo M. AiroldiJohn VillasenorD. Allan DrummondAlexander FranksGábor CsárdiXiangyu ChangPeter J. Bickel
- Topics
- Complex Network Analysis Techniques (8 papers)Opinion Dynamics and Social Influence (4 papers)Mental Health Research Topics (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationBiophysical Journal
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
David Choi
24 papers receiving 833 citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 228
- Statistical and Nonlinear Physics 155
- Artificial Intelligence 141
- Computer Networks and Communications 140
- Electrical and Electronic Engineering 140
Countries citing papers authored by David Choi
This map shows the geographic impact of David Choi'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 Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Choi more than expected).
Fields of papers citing papers by David Choi
This network shows the impact of papers produced by David Choi. 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 Choi. The network helps show where David Choi may publish in the future.
Co-authorship network of co-authors of David Choi
This figure shows the co-authorship network connecting the top 25 collaborators of David Choi. A scholar is included among the top collaborators of David Choi 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 David Choi. David Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 147 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 130 | |
| 9 | 22 | |
| 10 | 94 | |
| 11 | 15 | |
| 12 | 100 | |
| 13 | 40 | |
| 14 | 15 | |
| 15 | 85 | |
| 16 | Cost optimal dimensioning of a large scale video on demand system | 1 |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 30 | |
| 20 | 22 |
About David Choi
David Choi is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability and Experimental and Cognitive Psychology, having authored 28 papers that have together received 875 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (4 papers) and Mental Health Research Topics (3 papers). The work is most often cited by research in Neurology (106 citations), Statistical and Nonlinear Physics (155 citations) and Computational Mathematics (5 citations). David Choi has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Kathryn Roeder, Edoardo M. Airoldi, John Villasenor, D. Allan Drummond, Alexander Franks, Gábor Csárdi, Xiangyu Chang, Peter J. Bickel, Hai Zhang and Fuchen Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Biophysical Journal.
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.