Ki Hang Kim
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Algebra and Number Theory top 10%
- Economics and Econometrics
- Co-authors
- F.W. RoushZhiqiang CaoOla BratteliPalle E. T. JørgensenJ. NeggersLeonid Makar-LimanovMohan S. PutchaJochen Brüning
- Topics
- Advanced Topics in Algebra (9 papers)Game Theory and Voting Systems (9 papers)semigroups and automata theory (6 papers)
- Cited by
- Algebra and Number TheoryManagement Science and Operations ResearchComputational Theory and Mathematics
- Journals
- Journal of the Operational Research SocietyFuzzy Sets and SystemsJournal of Economic Theory
- Partner nations
- United StatesNorwayRussia
In The Last Decade
Ki Hang Kim
29 papers receiving 401 citations
Peers
Comparison fields: 5 of 66
- Management Science and Operations Research 206
- Computational Theory and Mathematics 204
- Artificial Intelligence 127
- Algebra and Number Theory 84
- Economics and Econometrics 54
Countries citing papers authored by Ki Hang Kim
This map shows the geographic impact of Ki Hang Kim'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 Ki Hang Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki Hang Kim more than expected).
Fields of papers citing papers by Ki Hang Kim
This network shows the impact of papers produced by Ki Hang Kim. 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 Ki Hang Kim. The network helps show where Ki Hang Kim may publish in the future.
Co-authorship network of co-authors of Ki Hang Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Ki Hang Kim. A scholar is included among the top collaborators of Ki Hang Kim 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 Ki Hang Kim. Ki Hang Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 11 | |
| 3 | DECIDABILITY OF THE ISOMORPHISM PROBLEM FOR STATIONARY AF-ALGEBRAS | 1 |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 23 | |
| 12 | Introduction to mathematical consensus theory | 30 |
| 13 | 120 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 0 | |
| 18 | 14 | |
| 19 | 4 | |
| 20 | 8 |
About Ki Hang Kim
Ki Hang Kim is a scholar working on Algebra and Number Theory, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 44 papers that have together received 456 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (9 papers), Game Theory and Voting Systems (9 papers) and semigroups and automata theory (6 papers). The work is most often cited by research in Algebra and Number Theory (84 citations), Management Science and Operations Research (206 citations) and Computational Theory and Mathematics (204 citations). Ki Hang Kim has collaborated with scholars based in United States, Norway and Russia. Frequent co-authors include F.W. Roush, Zhiqiang Cao, Ola Bratteli, Palle E. T. Jørgensen, J. Neggers, Leonid Makar-Limanov, Mohan S. Putcha, Jochen Brüning and John Asafu‐Adjaye. Their work appears in journals such as Journal of the Operational Research Society, Fuzzy Sets and Systems and Journal of Economic Theory.
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.