Fabio Dercole

3.9k citations
68 papers · 2.7k indexed · 1 hit paper · h-index 21

Fabio Dercole

67 papers receiving 2.6k citations

Hit Papers

AUTO-07p: Continuation and bifurcation software for ordin...1.2k20072026201320194008001.2k

Peers

Fabio Dercole
Comparison fields: 5 of 161
  • Statistical and Nonlinear Physics 663
  • Geometry and Topology 258
  • Genetics 657
  • Computer Networks and Communications 517
  • Public Health, Environmental and Occupational Health 636
Replace W. Govaerts with:
W. Govaerts Belgium
Annick Dhooge Belgium
D.S. Mazel United States
Konstantin Mischaikow United States
Wen-Xu Wang China
Brian Hassard United States
L. M. Perko United States
Bernd Krauskopf United Kingdom
Alexander I. Khibnik United States
Eusebius J. Doedel Canada
Fabio Dercole relative to W. Govaerts Belgium W. Govaerts's profile →
Citations per field
00.5×1.5×2.0×
W. Govaerts · 1×
Citations per year

Countries citing papers authored by Fabio Dercole

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Dercole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20236
3 20221
4 20228
5 20224
6 20211
7 202013
8 201919
9 20172
10 201620
11 20166
12 20169
13 2013110
14 201226
15 20118
16 200817
17
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game.
20071
18 200334
19 200346
20 200251

About Fabio Dercole

Fabio Dercole is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology and Public Health, Environmental and Occupational Health, having authored 68 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (28 papers), Evolutionary Game Theory and Cooperation (27 papers), Evolution and Genetic Dynamics (26 papers), Advanced Differential Equations and Dynamical Systems (11 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Chaos control and synchronization (8 papers), Neural Networks and Applications (6 papers) and Opinion Dynamics and Social Influence (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (663 citations), Geometry and Topology (258 citations) and Genetics (657 citations). Fabio Dercole has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Sergio Rinaldi, Yuri A. Kuznetsov, Björn Sandstede, Bart E. Oldeman, Randy Paffenroth, Eusebius J. Doedel, Alan Champneys, Fabio Della Rossa, Matteo Sangiorgio and Alessandra Gragnani. Their work appears in journals such as International Journal of Bifurcation and Chaos, Scientific Reports, SIAM Journal on Applied Dynamical Systems, Proceedings of the Royal Society B Biological Sciences and SIAM Journal on Applied Mathematics.

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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