Robert Tchitnga

959 citations
58 papers · 832 · h-index 17

Impact in

Papers in

Robert Tchitnga

55 papers receiving 813 citations

Peers

Robert Tchitnga
Comparison fields: 5 of 78
  • Statistical and Nonlinear Physics 560
  • Computer Networks and Communications 395
  • Computer Vision and Pattern Recognition 107
  • Cognitive Neuroscience 80
  • Modeling and Simulation 15
Replace Juan Hugo García-López with:
Juan Hugo García-López Mexico
Gang Bao China
Neelima Gupte India
Théophile Fonzin Fozin Cameroon
Balamurali Ramakrishnan Cameroon
Bonaventure Nana Cameroon
Stavros G. Stavrinides Greece
Jianbing Hu China
Xiaozhou Li China
Robert Tchitnga relative to Juan Hugo García-López Mexico Juan Hugo García-López's profile →
Citations per field
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Juan Hugo García-López · 1×
Citations per year

Countries citing papers authored by Robert Tchitnga

Since Specialization
Citations

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

Fields of papers citing papers by Robert Tchitnga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019134
2 201264
3 201545
4 201338
5 201735
6 201934
7 201731
8 201730
9 201027
10 202126
11 201825
12 201423
13 200923
14 201722
15 201919
16 201818
17 202118
18 202117
19 201113
20 201713

About Robert Tchitnga

Robert Tchitnga is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 832 indexed citations. Recurring topics across this work include Chaos control and synchronization (31 papers), Nonlinear Dynamics and Pattern Formation (27 papers), stochastic dynamics and bifurcation (19 papers), Neural Networks and Applications (7 papers), Neural Networks and Reservoir Computing (5 papers), Neural dynamics and brain function (4 papers), Chaos-based Image/Signal Encryption (4 papers) and Advanced Chemical Physics Studies (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (560 citations), Computer Networks and Communications (395 citations), Computer Vision and Pattern Recognition (107 citations), Cognitive Neuroscience (80 citations) and Modeling and Simulation (15 citations). Robert Tchitnga has collaborated with scholars based in Cameroon, Germany and Brazil. Frequent co-authors include Romanic Kengne, P. Woafo, Anaclet Fomethe, Patrick Louodop, Bonaventure Nana, Thorsten M. Bernhardt, Hilaire Bertrand Fotsin, Hilda A. Cerdeira, Romain Modeste Nguimdo and Serge Bruno Yamgoué. Their work appears in journals such as Chaos Solitons & Fractals, Heliyon, Physical review. E, Nonlinear Dynamics and The European Physical Journal B.

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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