I.G. Kevrekidis

3.1k citations
62 papers · 2.2k indexed · h-index 24

I.G. Kevrekidis

60 papers receiving 2.1k citations

Peers

I.G. Kevrekidis
Comparison fields: 5 of 105
  • Statistical and Nonlinear Physics 1.0k
  • Computational Mechanics 683
  • Computer Networks and Communications 723
  • Numerical Analysis 153
  • Statistics, Probability and Uncertainty 165
Replace B. J. Matkowsky with:
B. J. Matkowsky United States
C. S. Hsu United States
Aubrey B. Poore United States
Rüdiger Seydel Germany
Giovanni Samaey Belgium
Stephen M. Cox United Kingdom
Marshall Slemrod United States
Thomas Erneux Belgium
Chris Budd United Kingdom
J. M. Greenberg United States
I.G. Kevrekidis relative to B. J. Matkowsky United States B. J. Matkowsky's profile →
Citations per field
00.5×1.5×
B. J. Matkowsky · 1×
Citations per year

Countries citing papers authored by I.G. Kevrekidis

Since Specialization
Citations

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

Fields of papers citing papers by I.G. Kevrekidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201574
3 200979
4 20069
5 200613
6 20063
7 20061
8
An equation-free approach to coupled oscillator dynamics
20051
9 200319
10 20039
11 200217
12 199621
13 199620
14 199557
15 199320
16 199346
17 199154
18 1988184
19 198677
20 198543

About I.G. Kevrekidis

I.G. Kevrekidis is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Numerical Analysis, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (34 papers), Theoretical and Computational Physics (8 papers), Neural Networks and Applications (8 papers), Advanced Mathematical Modeling in Engineering (7 papers), Quantum chaos and dynamical systems (7 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Model Reduction and Neural Networks (6 papers) and Stability and Controllability of Differential Equations (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Computational Mechanics (683 citations) and Computer Networks and Communications (723 citations). I.G. Kevrekidis has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Edriss S. Titi, Michael S. Jolly, R. Aris, George Em Karniadakis, Anil E. Deane, Steven A. Orszag, L.D. Schmidt, Ramiro Rico-Martı́nez, Ciprian Foiaş and G. Ertl. Their work appears in journals such as Physical Review Letters, Journal of Fluid Mechanics and The Journal of Physical Chemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026