Igor Schreiber

1.1k citations
64 papers · 856 · h-index 18

Impact in

Papers in

Igor Schreiber

63 papers receiving 832 citations

Peers

Igor Schreiber
Comparison fields: 5 of 83
  • Computer Networks and Communications 551
  • Statistical and Nonlinear Physics 291
  • Electrochemistry 62
  • Cellular and Molecular Neuroscience 112
  • Atomic and Molecular Physics, and Optics 186
Replace Mária Burger with:
Mária Burger Germany
F. Hynne Denmark
Vilmos Gáspár Hungary
László Györgyi Hungary
Vladimir Garcı́a-Morales Spain
Andrzej L. Kawczyński Poland
L. Kuhnert Germany
Harm Hinrich Rotermund Germany
Hana Ševčı́ková Czechia
Sándor Kádár United States
Igor Schreiber relative to Mária Burger Germany Mária Burger's profile →
Citations per field
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Mária Burger · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Igor Schreiber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Igor Schreiber Line = papers co-authored together Igor Schreiber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198262
2 199359
3 198947
4 201442
5 199636
6 200636
7 199634
8 198233
9 198432
10 200831
11 200627
12 199527
13 198826
14 198626
15 199125
16 199524
17 200220
18 200318
19 198616
20 200116

About Igor Schreiber

Igor Schreiber is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Molecular Biology, Atomic and Molecular Physics, and Optics and Cellular and Molecular Neuroscience, having authored 64 papers that have together received 856 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (50 papers), Spectroscopy and Quantum Chemical Studies (15 papers), stochastic dynamics and bifurcation (14 papers), Quantum chaos and dynamical systems (8 papers), Photoreceptor and optogenetics research (8 papers), Gene Regulatory Network Analysis (8 papers), Chaos control and synchronization (7 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Computer Networks and Communications (551 citations), Statistical and Nonlinear Physics (291 citations), Electrochemistry (62 citations), Cellular and Molecular Neuroscience (112 citations) and Atomic and Molecular Physics, and Optics (186 citations). Igor Schreiber has collaborated with scholars based in Czechia, India and Germany. Frequent co-authors include Miloš Marek, John Ross, Miloš Dolnik, M. Marek, John D. Ross, Hana Ševčı́ková, Marcel Ovidiu Vlad, Pavel Matějka, Marcus J. B. Hauser and M. Kubı́ček. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Physical Chemistry, Chaos An Interdisciplinary Journal of Nonlinear Science, The Journal of Physical Chemistry A and Physics Letters A.

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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