Iván Rapaport

831 total citations
41 papers, 319 citations indexed

About

Iván Rapaport is a scholar working on Computational Theory and Mathematics, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Iván Rapaport has authored 41 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 16 papers in Molecular Biology and 13 papers in Computer Networks and Communications. Recurrent topics in Iván Rapaport's work include Complexity and Algorithms in Graphs (13 papers), Cellular Automata and Applications (11 papers) and Advanced Graph Theory Research (9 papers). Iván Rapaport is often cited by papers focused on Complexity and Algorithms in Graphs (13 papers), Cellular Automata and Applications (11 papers) and Advanced Graph Theory Research (9 papers). Iván Rapaport collaborates with scholars based in Chile, France and Poland. Iván Rapaport's co-authors include Juan A. Asenjo, J. Cristian Salgado, Martı́n Matamala, Fedor V. Fomin, Guillaume Theyssier, Johan Mazoyer, Eric Goles, Axel Osses, Ioan Todinca and Karol Suchan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Chromatography A and BMC Bioinformatics.

In The Last Decade

Iván Rapaport

40 papers receiving 307 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Iván Rapaport Chile 11 170 129 63 62 36 41 319
Larry J. Cummings United States 7 83 0.5× 81 0.6× 56 0.9× 5 0.1× 20 0.6× 16 328
Shiyi Shen China 13 379 2.2× 114 0.9× 23 0.4× 27 0.4× 8 0.2× 31 500
Wen Su China 9 60 0.4× 48 0.4× 44 0.7× 52 0.8× 8 0.2× 25 227
Zhenhua Shao China 11 107 0.6× 46 0.4× 7 0.1× 120 1.9× 14 0.4× 22 405
Jake P. Taylor‐King United Kingdom 8 148 0.9× 80 0.6× 8 0.1× 11 0.2× 10 0.3× 14 283
Haotian Li Singapore 9 117 0.7× 155 1.2× 42 0.7× 2 0.0× 81 2.3× 15 392
Dukka B. KC United States 11 213 1.3× 28 0.2× 9 0.1× 58 0.9× 15 0.4× 22 367
Iain Bethune United Kingdom 6 49 0.3× 30 0.2× 11 0.2× 20 0.3× 14 0.4× 24 167
Mehmet Serkan Apaydın Türkiye 10 201 1.2× 48 0.4× 44 0.7× 11 0.2× 3 0.1× 21 308
Ashwin Dhakal United States 6 123 0.7× 96 0.7× 7 0.1× 4 0.1× 9 0.3× 10 251

Countries citing papers authored by Iván Rapaport

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Iván Rapaport

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Rapaport. A scholar is included among the top collaborators of Iván Rapaport 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 Iván Rapaport. Iván Rapaport is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fraigniaud, Pierre, et al.. (2023). A Meta-Theorem for Distributed Certification. Algorithmica. 86(2). 585–612. 1 indexed citations
2.
Espanés, Pablo Moisset de, Axel Osses, & Iván Rapaport. (2016). Fixed-points in random Boolean networks: The impact of parallelism in the Barabási–Albert scale-free topology case. Biosystems. 150. 167–176. 4 indexed citations
3.
Kiwi, Marcos, Pablo Moisset de Espanés, Iván Rapaport, Sergio Rica, & Guillaume Theyssier. (2014). Strict Majority Bootstrap Percolation in the r-wheel. Information Processing Letters. 114(6). 277–281. 2 indexed citations
4.
Nisse, Nicolas, Iván Rapaport, & Karol Suchan. (2012). Distributed computing of efficient routing schemes in generalized chordal graphs. Theoretical Computer Science. 444. 17–27. 3 indexed citations
5.
Rapaport, Iván, et al.. (2012). Letting Alice and Bob choose which problem to solve: Implications to the study of cellular automata. Theoretical Computer Science. 468. 1–11. 1 indexed citations
6.
Rapaport, Iván, et al.. (2012). Continuous modeling of metabolic networks with gene regulation in yeast and in vivo determination of rate parameters. Biotechnology and Bioengineering. 109(9). 2325–2339. 8 indexed citations
7.
Goles, Eric, et al.. (2010). Communication complexity and intrinsic universality in cellular automata. Theoretical Computer Science. 412(1-2). 2–21. 13 indexed citations
8.
Rajsbaum, Sergio, et al.. (2010). Average long-lived binary consensus: Quantifying the stabilizing role played by memory. Theoretical Computer Science. 411(14-15). 1558–1566. 2 indexed citations
9.
Gerdtzen, Ziomara P., J. Cristian Salgado, Axel Osses, et al.. (2009). Modeling heterocyst pattern formation in cyanobacteria. BMC Bioinformatics. 10(S6). S16–S16. 18 indexed citations
10.
Asenjo, Juan A., et al.. (2008). Metabolomics of recombinant yeast: Gene expression, flux analysis and a mathematical model for gene regulation of metabolism. Journal of Biotechnology. 136. S19–S19. 1 indexed citations
11.
Rapaport, Iván, Karol Suchan, & Ioan Todinca. (2007). Minimal proper interval completions. Information Processing Letters. 106(5). 195–202. 5 indexed citations
12.
Lienqueo, María Elena, Andrea Mahn, Gemma Navarro, et al.. (2006). New approaches for predicting protein retention time in hydrophobic interaction chromatography. Journal of Molecular Recognition. 19(4). 260–269. 24 indexed citations
13.
Salgado, J. Cristian, Iván Rapaport, & Juan A. Asenjo. (2005). Predicting the behaviour of proteins in hydrophobic interaction chromatography. Journal of Chromatography A. 1107(1-2). 110–119. 35 indexed citations
14.
Salgado, J. Cristian, Iván Rapaport, & Juan A. Asenjo. (2005). Is it possible to predict the average surface hydrophobicity of a protein using only its amino acid composition?. Journal of Chromatography A. 1075(1-2). 133–143. 26 indexed citations
15.
Matamala, Martı́n, et al.. (2004). Domino tilings and related models: space of configurations of domains with holes. Theoretical Computer Science. 319(1-3). 83–101. 2 indexed citations
16.
Fomin, Fedor V., Martı́n Matamala, Erich Prisner, & Iván Rapaport. (2003). AT-free graphs: linear bounds for the oriented diameter. Discrete Applied Mathematics. 141(1-3). 135–148. 15 indexed citations
17.
Dürr, Christoph, Éric Goles, Iván Rapaport, & Éric Rémila. (2003). Tiling with bars under tomographic constraints. Theoretical Computer Science. 290(3). 1317–1329. 9 indexed citations
18.
Mazoyer, Johan & Iván Rapaport. (1999). Inducing an order on cellular automata by a grouping operation. Discrete Applied Mathematics. 91(1-3). 177–196. 7 indexed citations
19.
Goles, Éric & Iván Rapaport. (1997). Complexity of tile rotation problems. Theoretical Computer Science. 188(1-2). 129–159. 2 indexed citations
20.
Rapaport, Iván. (1957). [Etiology of monoglism; role of enzyme inhibitors].. PubMed. 46(4). 468–81. 6 indexed citations

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.

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