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Researcher · University of Bamenda · Cameroon

Raoul Mbakob Yonkeu

Raoul Mbakob Yonkeu publishes mostly in Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation, on topics such as stochastic dynamics and bifurcation, Nonlinear Dynamics and Pattern Formation and Chaos control and synchronization.

OpenAlex
World rank
#5,186,132
of 7,710,434 ranked researchers
Rank in Cameroon
#1,714
of 3,319
Works
16
Citations
200
Citations per work
12.5
h-index
9
i10-index 8Top 57% in Statistical and Nonlinear Physics
Raoul Mbakob Yonkeu

What does Raoul Mbakob Yonkeu research?

Raoul Mbakob Yonkeu's work is mostly in Physics and Astronomy (52%), Computer Science (25%), Mathematics (6%).

Physical Sciences: 13 works · 83.4% of their workPhysics and Astronomy: 8 works · 52.1% of their workStatistical and Nonlinear Physics: 8 works · 52.1% of their workComputer Science: 4 works · 25.0% of their workComputer Networks and Communications: 4 works · 25.0% of their workMathematics: 1 works · 6.3% of their workModeling and Simulation: 1 works · 6.3% of their workLife Sciences: 1 works · 8.4% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.2% of their workMolecular Biology: 1 works · 4.2% of their workNeuroscience: 1 works · 4.2% of their workCognitive Neuroscience: 1 works · 4.2% of their workEverything else: 1 works · 6.1% of their workHealth Sciences: 0 works · 2.1% of their workMedicine: 0 works · 2.1% of their workPhysiology: 0 works · 2.1% of their workTHEIR WORKRaoul MbakobYonkeu16works
Life Sciences8%Physical Sciences83%Health Sciences2%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Physics and Astronomy852.1%
    2. Computer Science425.0%
    3. Mathematics16.3%
    1. Biochemistry, Genetics and Molecular Biology14.2%
    2. Neuroscience14.2%
  3. Everything else16.1%
    1. Medicine02.1%
  1. 1Statistical and Nonlinear Physics52% of their works
  2. 2Computer Networks and Communications25% of their works
  3. 3Modeling and Simulation6% of their works
  4. 4Molecular Biology4% of their works
  5. 5Cognitive Neuroscience4% of their works
  6. 6Physiology2% of their works

Research topics

Which keywords describe Raoul Mbakob Yonkeu's research?

The keywords of their largest research topics: Synchronization, Nonlinear Dynamics, Brownian Motors, Stochastic Resonance, Complex Networks, Chimera States, Reaction-Diffusion Model and Chaos.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Synchronization244 topics
  2. Nonlinear Dynamics212 topics
  3. Brownian Motors141 topic
  4. Stochastic Resonance141 topic
  5. Complex Networks122 topics
  6. Chimera States111 topic
  7. Reaction-Diffusion Model111 topic
  8. Chaos101 topic
  9. Complex Systems101 topic
  10. Anomalous Diffusion31 topic
  11. Fractional Calculus31 topic
  12. Cortical Networks21 topic
  13. Gene Regulatory Networks21 topic
  14. Neural Networks22 topics
  15. Neuronal Oscillations21 topic
  16. Stochastic Gene Expression21 topic
  17. Dynamical Systems11 topic
  18. Memristor11 topic
  19. Neuromorphic Computing11 topic
  20. Pinning Control11 topic

Where does Raoul Mbakob Yonkeu work?

Raoul Mbakob Yonkeu's main affiliation in the publication record is University of Bamenda, Cameroon.

How many publications and citations does Raoul Mbakob Yonkeu have?

OpenAlex counts 16 works and 200 citations for Raoul Mbakob Yonkeu, an h-index of 9, ranking #5,186,132 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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