R. Yamapi

1.3k citations
75 papers · 1.0k · h-index 18

Impact in

Papers in

R. Yamapi

71 papers receiving 993 citations

Peers

R. Yamapi
Comparison fields: 5 of 67
  • Statistical and Nonlinear Physics 799
  • Computer Networks and Communications 665
  • Modeling and Simulation 74
  • Cognitive Neuroscience 156
  • Statistics, Probability and Uncertainty 35
Replace K. Thamilmaran with:
K. Thamilmaran India
Zhongkui Sun China
Dawid Dudkowski Poland
Xiaoli Yang China
A. Venkatesan India
В. В. Астахов Russia
J. B. Chabi Orou Benin
Youming Lei China
R. Jaimes-Reátegui Mexico
F. M. Moukam Kakmeni Cameroon
R. Yamapi relative to K. Thamilmaran India K. Thamilmaran's profile →
Citations per field
00.5×3.5×
K. Thamilmaran · 1×
Citations per year

Countries citing papers authored by R. Yamapi

Since Specialization
Citations

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

Fields of papers citing papers by R. Yamapi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200472
2 200665
3 201352
4 200347
5 201338
6 201534
7 200630
8 200827
9 201427
10 201225
11 200624
12 200723
13 201622
14 200420
15 200719
16 200618
17 200617
18 200817
19 201517
20 201817

About R. Yamapi

R. Yamapi is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Molecular Biology, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (58 papers), stochastic dynamics and bifurcation (51 papers), Chaos control and synchronization (32 papers), Neural dynamics and brain function (14 papers), Mechanical and Optical Resonators (7 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), Ecosystem dynamics and resilience (5 papers) and Quantum chaos and dynamical systems (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (799 citations), Computer Networks and Communications (665 citations), Modeling and Simulation (74 citations), Cognitive Neuroscience (156 citations) and Statistics, Probability and Uncertainty (35 citations). R. Yamapi has collaborated with scholars based in Cameroon, Italy and Germany. Frequent co-authors include P. Woafo, Г. Филатрелла, J. B. Chabi Orou, H. G. Enjieu Kadji, Clément Tchawoua, M. A. Aziz-Alaoui, Timoléon Crépin Kofané, B.R. Nana Nbendjo, Samuel Bowong and Jürgen Kurths. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Nonlinear Dynamics, Chaos Solitons & Fractals, Chaos An Interdisciplinary Journal of Nonlinear Science 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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