Mark Kon
Impact in
- Applied Mathematics top 2%
- Mathematical Analysis and Transform Methods
- Advanced Harmonic Analysis Research
- Biophysics top 2%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
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- Mathematical Analysis and Transform Methods 10
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- Spectral Theory in Mathematical Physics 6
- Co-authors
- M. Holschneider (1 shared paper)Charles DeLisi (12 shared papers)Benjamin Allen (2 shared papers)Yaneer Bar-Yam (1 shared paper)Shinuk Kim (8 shared papers)Archil Gulisashvili (2 shared papers)Irving E. Segal (2 shared papers)Dustin T. Holloway (6 shared papers)
- Journals
- Journal of Complexity (6 papers)Biology Direct (3 papers)Physica A Statistical Mechanics and its Applications (2 papers)Neural Networks (2 papers)Laboratory Investigation (2 papers)
- Partner nations
- United StatesPolandChina
In The Last Decade
Mark Kon
67 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 130
- Applied Mathematics 376
- Biophysics 166
- Mathematical Physics 165
- Health Informatics 19
- Health Information Management 51
Countries citing papers authored by Mark Kon
This map shows the geographic impact of Mark Kon'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 Mark Kon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Kon more than expected).
Fields of papers citing papers by Mark Kon
This network shows the impact of papers produced by Mark Kon. 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 Mark Kon. The network helps show where Mark Kon may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Kon, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 376 | |
| 2 | 2009 | 144 | |
| 3 | 1993 | 113 | |
| 4 | 2012 | 109 | |
| 5 | 2012 | 92 | |
| 6 | 1996 | 65 | |
| 7 | 1994 | 62 | |
| 8 | 1994 | 59 | |
| 9 | 2011 | 55 | |
| 10 | 2018 | 55 | |
| 11 | 2000 | 52 | |
| 12 | 2013 | 52 | |
| 13 | 2015 | 51 | |
| 14 | Integrating genomic data to predict transcription factor binding. | 2005 | 38 |
| 15 | 2016 | 32 | |
| 16 | 2015 | 29 | |
| 17 | 2000 | 23 | |
| 18 | 2014 | 21 | |
| 19 | 2006 | 20 | |
| 20 | 2011 | 19 |
About Mark Kon
Mark Kon is a scholar working on Applied Mathematics, Mathematical Physics, Numerical Analysis, Molecular Biology and Artificial Intelligence, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gene expression and cancer classification (12 papers), Mathematical Analysis and Transform Methods (10 papers), Genomics and Chromatin Dynamics (7 papers), Spectral Theory in Mathematical Physics (6 papers), Neural Networks and Applications (6 papers), Mathematical Approximation and Integration (5 papers), Artificial Intelligence in Healthcare (4 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). The work is most often cited by research in Applied Mathematics (376 citations), Biophysics (166 citations), Mathematical Physics (165 citations), Health Informatics (19 citations) and Health Information Management (51 citations). Mark Kon has collaborated with scholars based in United States, Poland and China. Frequent co-authors include M. Holschneider, Charles DeLisi, Benjamin Allen, Yaneer Bar-Yam, Shinuk Kim, Archil Gulisashvili, Irving E. Segal, Dustin T. Holloway, Max Diem and Ali Akalin. Their work appears in journals such as Journal of Complexity, Biology Direct, Physica A Statistical Mechanics and its Applications, Neural Networks and Laboratory Investigation.
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.