Iván Rapaport
Impact in
-
- Cellular Automata and Applications
- Advanced Graph Theory Research
- Complexity and Algorithms in Graphs
- Filtration and Separation top 10%
Papers in
-
- Complexity and Algorithms in Graphs 13
- Cellular Automata and Applications 11
- Advanced Graph Theory Research 9
- Computability, Logic, AI Algorithms 6
- semigroups and automata theory 6
-
- DNA and Biological Computing 6
- Co-authors
- Juan A. Asenjo (9 shared papers)J. Cristian Salgado (6 shared papers)Martı́n Matamala (6 shared papers)Fedor V. Fomin (3 shared papers)Guillaume Theyssier (4 shared papers)Johan Mazoyer (2 shared papers)Ioan Todinca (7 shared papers)Karol Suchan (6 shared papers)
In The Last Decade
Iván Rapaport
40 papers receiving 307 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 129
- Filtration and Separation 13
- Spectroscopy 63
- Computer Networks and Communications 62
- Molecular Biology 170
Countries citing papers authored by Iván Rapaport
This map shows the geographic impact of Iván Rapaport'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 Iván Rapaport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Rapaport more than expected).
Fields of papers citing papers by Iván Rapaport
This network shows the impact of papers produced by Iván Rapaport. 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 Iván Rapaport. The network helps show where Iván Rapaport may publish in the future.
Co-authors
The 25 scholars most cited alongside Iván Rapaport, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 35 | |
| 2 | 2005 | 26 | |
| 3 | 2006 | 24 | |
| 4 | 2005 | 24 | |
| 5 | 2005 | 23 | |
| 6 | 2009 | 18 | |
| 7 | 2004 | 16 | |
| 8 | 2003 | 15 | |
| 9 | 2010 | 13 | |
| 10 | 2004 | 11 | |
| 11 | 2011 | 10 | |
| 12 | 2003 | 9 | |
| 13 | 2012 | 8 | |
| 14 | 1999 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 1999 | 7 | |
| 17 | [Etiology of monoglism; role of enzyme inhibitors]. | 1957 | 6 |
| 18 | 2013 | 6 | |
| 19 | 2007 | 5 | |
| 20 | A discrete mathematical model applied to genetic regulation and metabolic networks. | 2007 | 5 |
About Iván Rapaport
Iván Rapaport is a scholar working on Computational Theory and Mathematics, Molecular Biology, Computer Networks and Communications, Spectroscopy and Mathematical Physics, having authored 41 papers that have together received 319 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (13 papers), Cellular Automata and Applications (11 papers), Advanced Graph Theory Research (9 papers), Distributed systems and fault tolerance (6 papers), DNA and Biological Computing (6 papers), Computability, Logic, AI Algorithms (6 papers), semigroups and automata theory (6 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Computational Theory and Mathematics (129 citations), Filtration and Separation (13 citations), Spectroscopy (63 citations), Computer Networks and Communications (62 citations) and Molecular Biology (170 citations). Iván Rapaport has collaborated with scholars based in Chile, France and Poland. Frequent co-authors include Juan A. Asenjo, J. Cristian Salgado, Martı́n Matamala, Fedor V. Fomin, Guillaume Theyssier, Johan Mazoyer, Ioan Todinca, Karol Suchan, Axel Osses and Christoph Dürr. Their work appears in journals such as Theoretical Computer Science, Journal of Chromatography A, Discrete Applied Mathematics, Algorithmica and Biotechnology and Bioengineering.
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.