Iván Rapaport
Impact in
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
- Cellular Automata and Applications
- Filtration and Separation top 10%
Papers in
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- Complexity and Algorithms in Graphs 30
- Cellular Automata and Applications 15
- Advanced Graph Theory Research 14
- Co-authors
- Juan A. Asenjo (9 shared papers)J. Cristian Salgado (6 shared papers)Ioan Todinca (20 shared papers)Martı́n Matamala (10 shared papers)Éric Rémila (10 shared papers)Eric Goles Chacc (9 shared papers)Fedor V. Fomin (4 shared papers)Karol Suchan (9 shared papers)
In The Last Decade
Iván Rapaport
65 papers receiving 587 citations
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 359
- Filtration and Separation 12
- Discrete Mathematics and Combinatorics 21
- Molecular Biology 182
- Spectroscopy 32
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 36 | |
| 2 | 2006 | 31 | |
| 3 | 2003 | 26 | |
| 4 | 2006 | 26 | |
| 5 | 1998 | 25 | |
| 6 | 2005 | 25 | |
| 7 | 2004 | 24 | |
| 8 | 2005 | 24 | |
| 9 | 2005 | 24 | |
| 10 | 2010 | 24 | |
| 11 | 2009 | 20 | |
| 12 | 2011 | 17 | |
| 13 | 2004 | 15 | |
| 14 | 1999 | 13 | |
| 15 | 2007 | 12 | |
| 16 | 2014 | 12 | |
| 17 | 2015 | 12 | |
| 18 | 2016 | 12 | |
| 19 | 1999 | 11 | |
| 20 | 2003 | 10 |
About Iván Rapaport
Iván Rapaport is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Statistical and Nonlinear Physics, Mathematical Physics and Molecular Biology, having authored 71 papers that have together received 606 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (30 papers), Cellular Automata and Applications (15 papers), Advanced Graph Theory Research (14 papers), Protein Structure and Dynamics (5 papers), Stochastic processes and statistical mechanics (4 papers), Distributed systems and fault tolerance (4 papers), Complex Network Analysis Techniques (4 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (359 citations), Filtration and Separation (12 citations), Discrete Mathematics and Combinatorics (21 citations), Molecular Biology (182 citations) and Spectroscopy (32 citations). Iván Rapaport has collaborated with scholars based in Chile, France and Poland. Frequent co-authors include Juan A. Asenjo, J. Cristian Salgado, Ioan Todinca, Martı́n Matamala, Éric Rémila, Eric Goles Chacc, Fedor V. Fomin, Karol Suchan, Pedro Montealegre and Guillaume Theyssier. Their work appears in journals such as Theoretical Computer Science, Journal of Chromatography A, Discrete Applied Mathematics, Algorithmica and Lecture notes in computer science.
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.