K. Marton
Impact in
-
- Cooperative Communication and Network Coding
- Error Correcting Code Techniques
Papers in
-
- Advanced Graph Theory Research 4
-
- Algorithms and Data Compression 5
- Bayesian Methods and Mixture Models 5
- Co-authors
- János Körner (9 shared papers)Paul C. Shields (8 shared papers)László Lovász (1 shared paper)Imre Csiszár (1 shared paper)Gábor Simonyi (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (9 papers)The Annals of Probability (5 papers)Probability Theory and Related Fields (3 papers)Ergodic Theory and Dynamical Systems (2 papers)Combinatorics Probability Computing (1 paper)
- Partner nations
- HungaryUnited StatesSlovakia
In The Last Decade
K. Marton
26 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 822
- Discrete Mathematics and Combinatorics 77
- Computational Theory and Mathematics 333
- Applied Mathematics 204
- Statistics and Probability 150
Countries citing papers authored by K. Marton
This map shows the geographic impact of K. Marton'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 K. Marton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Marton more than expected).
Fields of papers citing papers by K. Marton
This network shows the impact of papers produced by K. Marton. 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 K. Marton. The network helps show where K. Marton may publish in the future.
Co-authors
The 5 scholars most cited alongside K. Marton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1979 | 384 | |
| 2 | 1979 | 222 | |
| 3 | 1977 | 189 | |
| 4 | 1996 | 129 | |
| 5 | 1974 | 119 | |
| 6 | 1986 | 107 | |
| 7 | 1996 | 104 | |
| 8 | 1988 | 68 | |
| 9 | 1990 | 51 | |
| 10 | 1977 | 44 | |
| 11 | 1994 | 37 | |
| 12 | 1998 | 32 | |
| 13 | 1994 | 27 | |
| 14 | 1993 | 22 | |
| 15 | 1988 | 19 | |
| 16 | 2004 | 18 | |
| 17 | 1995 | 15 | |
| 18 | 1988 | 15 | |
| 19 | 2019 | 12 | |
| 20 | 1990 | 7 |
About K. Marton
K. Marton is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Electrical and Electronic Engineering, Geometry and Topology and Discrete Mathematics and Combinatorics, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (6 papers), Algorithms and Data Compression (5 papers), Limits and Structures in Graph Theory (5 papers), Bayesian Methods and Mixture Models (5 papers), Graph theory and applications (4 papers), Advanced Graph Theory Research (4 papers), Markov Chains and Monte Carlo Methods (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Computer Networks and Communications (822 citations), Discrete Mathematics and Combinatorics (77 citations), Computational Theory and Mathematics (333 citations), Applied Mathematics (204 citations) and Statistics and Probability (150 citations). K. Marton has collaborated with scholars based in Hungary, United States and Slovakia. Frequent co-authors include János Körner, Paul C. Shields, László Lovász, Imre Csiszár and Gábor Simonyi. Their work appears in journals such as IEEE Transactions on Information Theory, The Annals of Probability, Probability Theory and Related Fields, Ergodic Theory and Dynamical Systems and Combinatorics Probability Computing.
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.