Gregor Kovačič

1.6k citations
62 papers · 1.1k · h-index 18

Impact in

Papers in

Gregor Kovačič

60 papers receiving 1.1k citations

Peers

Gregor Kovačič
Comparison fields: 5 of 71
  • Statistical and Nonlinear Physics 740
  • Mathematical Physics 145
  • Geometry and Topology 130
  • Computer Networks and Communications 256
  • Acoustics and Ultrasonics 8
Replace Hong Zhao with:
Hong Zhao China
Mark Levi United States
Takuji Kawahara Japan
Yoshisuke Ueda Japan
Alidou Mohamadou Cameroon
Peter Szmolyan Austria
Pascal Chossat France
James Murdock United States
Wolf‐Jürgen Beyn Germany
S. Rajasekar India
Gregor Kovačič relative to Hong Zhao China Hong Zhao's profile →
Citations per field
00.5×1.5×
Hong Zhao · 1×
Citations per year

Countries citing papers authored by Gregor Kovačič

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Kovačič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gregor Kovačič, 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 Gregor Kovačič Line = papers co-authored together Gregor Kovačič links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014192
2 1992170
3 199874
4 199657
5 201555
6 200242
7 201036
8 201033
9 199532
10 199631
11 200825
12 199324
13 200323
14 201422
15 201419
16 201819
17 199218
18 199118
19 200916
20 200916

About Gregor Kovačič

Gregor Kovačič is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (22 papers), Quantum chaos and dynamical systems (15 papers), Neural dynamics and brain function (15 papers), Nonlinear Photonic Systems (10 papers), Advanced Fiber Laser Technologies (9 papers), stochastic dynamics and bifurcation (8 papers), Quantum optics and atomic interactions (7 papers) and Nonlinear Waves and Solitons (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (740 citations), Mathematical Physics (145 citations), Geometry and Topology (130 citations), Computer Networks and Communications (256 citations) and Acoustics and Ultrasonics (8 citations). Gregor Kovačič has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Gino Biondini, Stephen Wiggins, David Cai, Tasso J. Kaper, Roberto Camassa, Darryl D. Holm, Douglas Zhou, Aaditya V. Rangan, Thomas A. Wettergren and Katherine A. Newhall. Their work appears in journals such as Physics Letters A, Physica D Nonlinear Phenomena, Communications in Mathematical Sciences, Journal of Computational Neuroscience and Journal of Computational Physics.

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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