Jungseul Ok
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Co-authors
- Yung YiAlexandre ProutièreJinwoo ShinRichard CombesYoungmi JinSewoong OhSuha KwakLiang Li
- Topics
- Complex Network Analysis Techniques (8 papers)Opinion Dynamics and Social Influence (7 papers)Game Theory and Applications (5 papers)
- Cited by
- Management Science and Operations ResearchComputer Networks and CommunicationsStatistical and Nonlinear Physics
- Journals
- IEEE Transactions on Information TheoryIEEE/ACM Transactions on NetworkingComputer Networks
- Partner nations
- South KoreaSwedenUnited States
In The Last Decade
Jungseul Ok
23 papers receiving 173 citations
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 102
- Electrical and Electronic Engineering 66
- Management Science and Operations Research 56
- Statistical and Nonlinear Physics 44
- Artificial Intelligence 32
Countries citing papers authored by Jungseul Ok
This map shows the geographic impact of Jungseul Ok'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 Jungseul Ok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jungseul Ok more than expected).
Fields of papers citing papers by Jungseul Ok
This network shows the impact of papers produced by Jungseul Ok. 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 Jungseul Ok. The network helps show where Jungseul Ok may publish in the future.
Co-authorship network of co-authors of Jungseul Ok
This figure shows the co-authorship network connecting the top 25 collaborators of Jungseul Ok. A scholar is included among the top collaborators of Jungseul Ok 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 Jungseul Ok. Jungseul Ok 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | Exploration in Structured Reinforcement Learning | 3 |
| 15 | 0 | |
| 16 | 1 | |
| 17 | Optimality of Belief Propagation for Crowdsourced Classification | 6 |
| 18 | 17 | |
| 19 | 5 | |
| 20 | 8 |
About Jungseul Ok
Jungseul Ok is a scholar working on Management Science and Operations Research, Computer Science Applications and Statistical and Nonlinear Physics, having authored 31 papers that have together received 178 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (7 papers) and Game Theory and Applications (5 papers). The work is most often cited by research in Management Science and Operations Research (56 citations), Computer Networks and Communications (102 citations) and Statistical and Nonlinear Physics (44 citations). Jungseul Ok has collaborated with scholars based in South Korea, Sweden and United States. Frequent co-authors include Yung Yi, Alexandre Proutière, Jinwoo Shin, Richard Combes, Youngmi Jin, Sewoong Oh, Suha Kwak, Liang Li, Wei Chen and Seunghoon Hong. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE/ACM Transactions on Networking and Computer Networks.
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.