Igor Schreiber

1.1k total citations
64 papers, 854 citations indexed

About

Igor Schreiber is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Igor Schreiber has authored 64 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 24 papers in Statistical and Nonlinear Physics and 19 papers in Molecular Biology. Recurrent topics in Igor Schreiber's work include Nonlinear Dynamics and Pattern Formation (50 papers), Spectroscopy and Quantum Chemical Studies (15 papers) and stochastic dynamics and bifurcation (14 papers). Igor Schreiber is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (50 papers), Spectroscopy and Quantum Chemical Studies (15 papers) and stochastic dynamics and bifurcation (14 papers). Igor Schreiber collaborates with scholars based in Czechia, India and Slovakia. Igor Schreiber's co-authors include Miloš Marek, John Ross, Miloš Dolnik, M. Marek, John D. Ross, Marcel Ovidiu Vlad, Hana Ševčı́ková, Marcus J. B. Hauser, Pavel Matějka and M. Kubı́ček and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Igor Schreiber

63 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Schreiber Czechia 18 551 291 227 186 112 64 854
Mária Burger Germany 9 692 1.3× 256 0.9× 154 0.7× 239 1.3× 73 0.7× 18 1.1k
F. Hynne Denmark 20 591 1.1× 233 0.8× 532 2.3× 289 1.6× 74 0.7× 44 1.2k
Vilmos Gáspár Hungary 20 1.0k 1.9× 591 2.0× 147 0.6× 261 1.4× 125 1.1× 50 1.4k
László Györgyi Hungary 17 652 1.2× 312 1.1× 168 0.7× 180 1.0× 45 0.4× 26 905
L. Kuhnert Germany 10 849 1.5× 294 1.0× 201 0.9× 201 1.1× 203 1.8× 19 1.1k
Sándor Kádár United States 11 719 1.3× 452 1.6× 110 0.5× 169 0.9× 80 0.7× 12 883
Andrzej L. Kawczyński Poland 14 424 0.8× 360 1.2× 67 0.3× 142 0.8× 32 0.3× 62 612
Marcello A. Budroni Italy 20 370 0.7× 169 0.6× 87 0.4× 178 1.0× 67 0.6× 54 786
Enrique Peacock-López United States 19 234 0.4× 219 0.8× 225 1.0× 118 0.6× 111 1.0× 52 842
L. Pohlmann Germany 13 206 0.4× 117 0.4× 82 0.4× 151 0.8× 59 0.5× 33 566

Countries citing papers authored by Igor Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by Igor Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor Schreiber. 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 Igor Schreiber. The network helps show where Igor Schreiber may publish in the future.

Co-authorship network of co-authors of Igor Schreiber

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Schreiber. A scholar is included among the top collaborators of Igor Schreiber 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 Igor Schreiber. Igor Schreiber 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.
Bednářová, Lucie, et al.. (2022). Reaction of N-Acetylcysteine with Cu2+: Appearance of Intermediates with High Free Radical Scavenging Activity: Implications for Anti-/Pro-Oxidant Properties of Thiols. International Journal of Molecular Sciences. 23(11). 6199–6199. 5 indexed citations
2.
Schreiber, Igor, et al.. (2020). Advanced Chemical Computing Using Discrete Turing Patterns in Arrays of Coupled Cells. Frontiers in Chemistry. 8. 559650–559650. 2 indexed citations
3.
Přibyl, Michal, et al.. (2017). Minimal oscillating subnetwork in the Huang-Ferrell model of the MAPK cascade. PLoS ONE. 12(6). e0178457–e0178457. 7 indexed citations
4.
Bánsági, Tamás, et al.. (2014). A bistable switch in pH in urease-loaded alginate beads. Chemical Communications. 50(76). 11107–11109. 41 indexed citations
5.
Schreiber, Igor, et al.. (2013). Classification of the pH-Oscillatory Hydrogen Peroxide–Thiosulfate–Sulfite Reaction. The Journal of Physical Chemistry A. 117(47). 12196–12207. 3 indexed citations
6.
Přibyl, Michal, et al.. (2012). Effects of Convective Transport on Chemical Signal Propagation in Epithelia. Biophysical Journal. 102(5). 990–1000. 4 indexed citations
7.
Schreiber, Igor, et al.. (2011). Dynamical regimes of a pH-oscillator operated in two mass-coupled flow-through reactors. Physical Chemistry Chemical Physics. 13(20). 9849–9849. 12 indexed citations
8.
Schreiber, Igor, et al.. (2010). Stoichiometric network analysis of the photochemical processes in the mesopause region. Physical Chemistry Chemical Physics. 13(4). 1314–1322. 7 indexed citations
9.
Kohout, Martin, et al.. (2007). Stoichiometric Network Analysis of Dynamics of Catalytic Oxidation of CO and Hydrocarbons. Chemical engineering transactions. 11. 15–20. 1 indexed citations
10.
Marek, Miloš, et al.. (2006). Oscillations, period doublings, and chaos in CO oxidation and catalytic mufflers. Chaos An Interdisciplinary Journal of Nonlinear Science. 16(3). 37107–37107. 6 indexed citations
11.
Schreiber, Igor, et al.. (2005). Thresholds of excitability in three-dimensional dynamical systems. Physical Review E. 72(1). 16216–16216. 1 indexed citations
12.
Schreiber, Igor, et al.. (2004). Excitable dynamics and threshold sets in nonlinear systems. Physical Review E. 69(2). 26210–26210. 4 indexed citations
13.
Kohout, Martin, Igor Schreiber, & M. Kubı́ček. (2002). A computational tool for nonlinear dynamical and bifurcation analysis of chemical engineering problems. Computers & Chemical Engineering. 26(4-5). 517–527. 20 indexed citations
14.
Schreiber, Igor, et al.. (2001). Excitability in chemical and biochemical pH-autocatalytic systems. Faraday Discussions. 120(120). 313–324. 16 indexed citations
15.
Schreiber, Igor, et al.. (2000). Complex Dynamical Response of Chemical and Biochemical Excitable Systems to Periodic Stimuli. Forma. 15(3). 291–308. 3 indexed citations
16.
Schreiber, Igor, et al.. (1996). On the route to strangeness without chaos in the quasiperiodically forced van der Pol oscillator. Chaos Solitons & Fractals. 7(3). 409–424. 4 indexed citations
17.
Košek, Juraj, Igor Schreiber, & Miloš Marek. (1994). Phase mappings from diffusion-coupled excitable chemical systems. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 347(1685). 643–660. 7 indexed citations
18.
Schreiber, Igor, et al.. (1986). Periodic and aperiodic regimes in coupled dissipative chemical oscillators. Journal of Statistical Physics. 43(3-4). 489–519. 16 indexed citations
19.
Dolnik, Miloš, Igor Schreiber, & M. Marek. (1984). Experimental observations of periodic and chaotic regimes in a forced chemical oscillator. Physics Letters A. 100(6). 316–319. 32 indexed citations
20.
Schreiber, Igor & Miloš Marek. (1982). Transition to chaos via two-torus in coupled reaction-diffusion cells. Physics Letters A. 91(6). 263–266. 33 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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