C. Nicolis

6.0k citations
144 papers · 4.3k · h-index 34

Impact in

Papers in

C. Nicolis

136 papers receiving 4.1k citations

Peers

C. Nicolis
Comparison fields: 5 of 146
  • Statistical and Nonlinear Physics 2.6k
  • Global and Planetary Change 1.4k
  • Computer Networks and Communications 1.3k
  • Statistics, Probability and Uncertainty 322
  • Atmospheric Science 712
Replace Joachim Peinke with:
Joachim Peinke Germany
Alfonso Sutera Italy
Timothy Sauer United States
R. Friedrich Germany
Bruno Eckhardt Germany
S. Fauve France
J. M. Sancho Spain
Martin Casdagli United States
Hannes Risken Germany
D.S. Broomhead United Kingdom
C. Nicolis relative to Joachim Peinke Germany Joachim Peinke's profile →
Citations per field
00.5×1.5×1.8×
Joachim Peinke · 1×
Citations per year

Countries citing papers authored by C. Nicolis

Since Specialization
Citations

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

Fields of papers citing papers by C. Nicolis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985432
2 1982315
3 1981234
4 1984219
5 1982202
6 1990196
7 1981184
8 2011174
9 1982150
10 199380
11 200779
12 199770
13 199070
14 199567
15 200565
16 198163
17 201157
18 198855
19 199354
20 198950

About C. Nicolis

C. Nicolis is a scholar working on Statistical and Nonlinear Physics, Global and Planetary Change, Economics and Econometrics, Computer Networks and Communications and Atmospheric Science, having authored 144 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (38 papers), Complex Systems and Time Series Analysis (37 papers), Nonlinear Dynamics and Pattern Formation (33 papers), Ecosystem dynamics and resilience (31 papers), stochastic dynamics and bifurcation (30 papers), Climate variability and models (25 papers), Chaos control and synchronization (20 papers) and Meteorological Phenomena and Simulations (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.6k citations), Global and Planetary Change (1.4k citations), Computer Networks and Communications (1.3k citations), Statistics, Probability and Uncertainty (322 citations) and Atmospheric Science (712 citations). C. Nicolis has collaborated with scholars based in Belgium, United States and India. Frequent co-authors include G. Nìcolis, G. Nicolis, J.M. Salazar, A. Babloyantz, Stéphane Vannitsem, Gang Hu, V. Balakrishnan, Gaston R. Demarée, Christian L. Keppenne and Anselmo García Cantú Ros. Their work appears in journals such as Quarterly Journal of the Royal Meteorological Society, Tellus A Dynamic Meteorology and Oceanography, Journal of the Atmospheric Sciences, Journal of Statistical Physics and International Journal of Bifurcation and Chaos.

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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