Ivan G. Szendro

951 total citations
24 papers, 601 citations indexed

About

Ivan G. Szendro is a scholar working on Genetics, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Ivan G. Szendro has authored 24 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Computer Networks and Communications and 6 papers in Sociology and Political Science. Recurrent topics in Ivan G. Szendro's work include Evolution and Genetic Dynamics (9 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Complex Systems and Time Series Analysis (6 papers). Ivan G. Szendro is often cited by papers focused on Evolution and Genetic Dynamics (9 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Complex Systems and Time Series Analysis (6 papers). Ivan G. Szendro collaborates with scholars based in Germany, Spain and Netherlands. Ivan G. Szendro's co-authors include Joachim Krug, J. Arjan G. M. de Visser, Miguel A. Rodríguez, J.M. López, Martijn Schenk, Jasper Franke, Diego Pazó, Merijn L.M. Salverda, Cristina Primo and Jochen Bröcker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Geophysical Research Atmospheres.

In The Last Decade

Ivan G. Szendro

23 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan G. Szendro Germany 14 335 167 160 110 95 24 601
Tommaso Biancalani United States 12 166 0.5× 331 2.0× 112 0.7× 230 2.1× 170 1.8× 17 799
Carlos Escudero Spain 13 87 0.3× 136 0.8× 53 0.3× 181 1.6× 102 1.1× 40 627
David B. Saakian Armenia 14 511 1.5× 160 1.0× 407 2.5× 115 1.0× 26 0.3× 88 743
Jun-ichi Wakita Japan 14 124 0.4× 202 1.2× 62 0.4× 33 0.3× 92 1.0× 26 665
Sylvie Méléard France 18 159 0.5× 59 0.4× 61 0.4× 209 1.9× 42 0.4× 45 806
B. F. de Oliveira Brazil 16 336 1.0× 20 0.1× 410 2.6× 99 0.9× 31 0.3× 38 665
Lili Chang China 15 189 0.6× 47 0.3× 45 0.3× 228 2.1× 245 2.6× 34 741
Sayantan Nag Chowdhury India 17 180 0.5× 28 0.2× 232 1.4× 398 3.6× 398 4.2× 24 783
Roy D. Welch United States 19 361 1.1× 548 3.3× 41 0.3× 52 0.5× 105 1.1× 50 1.1k
Viviane M. de Oliveira Brazil 13 180 0.5× 53 0.3× 176 1.1× 154 1.4× 14 0.1× 49 507

Countries citing papers authored by Ivan G. Szendro

Since Specialization
Citations

This map shows the geographic impact of Ivan G. Szendro'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 Ivan G. Szendro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan G. Szendro more than expected).

Fields of papers citing papers by Ivan G. Szendro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan G. Szendro. 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 Ivan G. Szendro. The network helps show where Ivan G. Szendro may publish in the future.

Co-authorship network of co-authors of Ivan G. Szendro

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan G. Szendro. A scholar is included among the top collaborators of Ivan G. Szendro 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 Ivan G. Szendro. Ivan G. Szendro 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.
Zwart, Mark P., Martijn Schenk, Sungmin Hwang, et al.. (2018). Unraveling the causes of adaptive benefits of synonymous mutations in TEM-1 β-lactamase. Heredity. 121(5). 406–421. 31 indexed citations
2.
Park, Su‐Chan, et al.. (2015). Phase transition in random adaptive walks on correlated fitness landscapes. Physical Review E. 91(4). 42707–42707. 8 indexed citations
3.
Szendro, Ivan G., et al.. (2014). Multidimensional Epistasis and the Transitory Advantage of Sex. PLoS Computational Biology. 10(9). e1003836–e1003836. 14 indexed citations
4.
Szendro, Ivan G., et al.. (2014). Adaptation in Tunably Rugged Fitness Landscapes: The Rough Mount Fuji Model. Genetics. 198(2). 699–721. 42 indexed citations
5.
Schenk, Martijn, Ivan G. Szendro, Merijn L.M. Salverda, Joachim Krug, & J. Arjan G. M. de Visser. (2013). Patterns of Epistasis between Beneficial Mutations in an Antibiotic Resistance Gene. Molecular Biology and Evolution. 30(8). 1779–1787. 98 indexed citations
6.
Szendro, Ivan G., et al.. (2013). Exact results for amplitude spectra of fitness landscapes. Journal of Theoretical Biology. 332. 218–227. 30 indexed citations
7.
Szendro, Ivan G., Jasper Franke, J. Arjan G. M. de Visser, & Joachim Krug. (2012). Predictability of evolution depends nonmonotonically on population size. Proceedings of the National Academy of Sciences. 110(2). 571–576. 86 indexed citations
8.
Schenk, Martijn, Ivan G. Szendro, Joachim Krug, & J. Arjan G. M. de Visser. (2012). Quantifying the Adaptive Potential of an Antibiotic Resistance Enzyme. PLoS Genetics. 8(6). e1002783–e1002783. 64 indexed citations
9.
Altland, Alexander, Andrej Fischer, Joachim Krug, & Ivan G. Szendro. (2011). Rare Events in Population Genetics: Stochastic Tunneling in a Two-Locus Model with Recombination. Physical Review Letters. 106(8). 88101–88101. 15 indexed citations
10.
Niemann, Markus, Ivan G. Szendro, & Hölger Kantz. (2010). 1/fβ noise in a model for weak ergodicity breaking. Chemical Physics. 375(2-3). 370–377. 5 indexed citations
11.
Szendro, Ivan G., Miguel A. Rodríguez, & J.M. López. (2009). Spatial correlations of synchronization errors in extended chaotic systems. Europhysics Letters (EPL). 86(2). 20008–20008. 3 indexed citations
12.
Szendro, Ivan G., Miguel A. Rodríguez, & J.M. López. (2009). On the problem of data assimilation by means of synchronization. Journal of Geophysical Research Atmospheres. 114(D20). 16 indexed citations
13.
Szendro, Ivan G., J.M. López, & Miguel A. Rodríguez. (2008). Dynamics of perturbations in disordered chaotic systems. Physical Review E. 78(3). 36202–36202. 4 indexed citations
14.
Pazó, Diego, Ivan G. Szendro, J.M. López, & Miguel A. Rodríguez. (2008). Structure of characteristic Lyapunov vectors in spatiotemporal chaos. Physical Review E. 78(1). 16209–16209. 51 indexed citations
15.
Szendro, Ivan G., Diego Pazó, Miguel A. Rodríguez, & J.M. López. (2007). Spatiotemporal structure of Lyapunov vectors in chaotic coupled-map lattices. Physical Review E. 76(2). 25202–25202. 32 indexed citations
16.
Szendro, Ivan G., J.M. López, & Miguel A. Rodríguez. (2007). Localization in disordered media, anomalous roughening, and coarsening dynamics of faceted surfaces. Physical Review E. 76(1). 11603–11603. 17 indexed citations
17.
Primo, Cristina, Ivan G. Szendro, Miguel A. Rodríguez, & José Manuel Gutiérrez. (2007). Error Growth Patterns in Systems with Spatial Chaos: From Coupled Map Lattices to Global Weather Models. Physical Review Letters. 98(10). 108501–108501. 19 indexed citations
18.
Primo, Cristina, Miguel A. Rodríguez, J.M. López, & Ivan G. Szendro. (2005). Predictability, bred vectors, and generation of ensembles in space-time chaotic systems. Physical Review E. 72(1). 15201–15201. 12 indexed citations
19.
Szendro, Ivan G. & J.M. López. (2005). Universal critical behavior of the synchronization transition in delayed chaotic systems. Physical Review E. 71(5). 55203–55203. 7 indexed citations
20.
López, J.M., Cristina Primo, Miguel A. Rodríguez, & Ivan G. Szendro. (2004). Scaling properties of growing noninfinitesimal perturbations in space-time chaos. Physical Review E. 70(5). 56224–56224. 20 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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