Ricardo Lima

3.1k citations
91 papers · 1.9k · h-index 23

Impact in

Papers in

Ricardo Lima

86 papers receiving 1.8k citations

Peers

Ricardo Lima
Comparison fields: 5 of 142
  • Statistical and Nonlinear Physics 907
  • Mathematical Physics 232
  • Computer Networks and Communications 553
  • Biological Psychiatry 35
  • Nuclear and High Energy Physics 170
Replace Michael C. Reed with:
Michael C. Reed United States
Govindan Rangarajan India
Yonghui Xia China
Francesco Vaccarino Italy
Stiliyan Kalitzin Netherlands
S. P. Hastings United States
David S. Miller United States
W.‐H. Steeb Germany
Jan A. Sanders Netherlands
Roberto Barrio Spain
Ricardo Lima relative to Michael C. Reed United States Michael C. Reed's profile →
Citations per field
00.5×7.9×
Michael C. Reed · 1×
Citations per year

Countries citing papers authored by Ricardo Lima

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990378
2 1994116
3 199191
4 198374
5 198568
6 199562
7 199261
8 198260
9 200759
10 200655
11 201150
12 201048
13 201248
14 201645
15 198344
16 200540
17 200430
18 200430
19 199029
20 201228

About Ricardo Lima

Ricardo Lima is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Mathematical Physics and Nuclear and High Energy Physics, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (30 papers), Nonlinear Dynamics and Pattern Formation (21 papers), Chaos control and synchronization (12 papers), Theoretical and Computational Physics (8 papers), Magnetic confinement fusion research (8 papers), Complex Systems and Time Series Analysis (7 papers), Mathematical Dynamics and Fractals (6 papers) and Nonlinear Photonic Systems (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (907 citations), Mathematical Physics (232 citations), Computer Networks and Communications (553 citations), Biological Psychiatry (35 citations) and Nuclear and High Energy Physics (170 citations). Ricardo Lima has collaborated with scholars based in France, Brazil and United States. Frequent co-authors include Marco Pettini, Jean Bellissard, Nadine Aubry, Dima L. Shepelyansky, D. Testard, Elena Floriani, J.C. Vallet, A.-L. Pecquet, Thierry Dudok de Wit and Michel Vittot. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Journal of Statistical Physics, The European Physical Journal D, Communications in Mathematical Physics and Physical Review Letters.

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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