Tokunbo Ogunfunmi

1.6k citations
145 papers · 1.2k · h-index 17

Impact in

    • Speech and Audio Processing
    • Blind Source Separation Techniques
    • Video Coding and Compression Technologies
    • Advanced Adaptive Filtering Techniques

Papers in

    • Speech and Audio Processing 29
    • Video Coding and Compression Technologies 22
    • Blind Source Separation Techniques 19
    • Advanced Data Compression Techniques 29
    • Image and Signal Denoising Methods 17
    • Advanced Vision and Imaging 15

Tokunbo Ogunfunmi

133 papers receiving 1.2k citations

Peers

Tokunbo Ogunfunmi
Comparison fields: 5 of 111
  • Signal Processing 598
  • Computational Mechanics 429
  • Computer Vision and Pattern Recognition 366
  • Architecture 18
  • Control and Systems Engineering 171
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Citations per year

Countries citing papers authored by Tokunbo Ogunfunmi

Since Specialization
Citations

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

Fields of papers citing papers by Tokunbo Ogunfunmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007108
2 2007106
3 202166
4 201158
5 201155
6 201642
7 201540
8 201534
9 201032
10 201923
11 201421
12 201021
13 201921
14 201020
15 201019
16 200919
17 201318
18 201517
19 201316
20 200115

About Tokunbo Ogunfunmi

Tokunbo Ogunfunmi is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology and Artificial Intelligence, having authored 145 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (47 papers), Advanced Data Compression Techniques (29 papers), Speech and Audio Processing (29 papers), Video Coding and Compression Technologies (22 papers), Blind Source Separation Techniques (19 papers), Control Systems and Identification (17 papers), Image and Signal Denoising Methods (17 papers) and Advanced Vision and Imaging (15 papers). The work is most often cited by research in Signal Processing (598 citations), Computational Mechanics (429 citations), Computer Vision and Pattern Recognition (366 citations), Architecture (18 citations) and Control and Systems Engineering (171 citations). Tokunbo Ogunfunmi has collaborated with scholars based in United States, Nigeria and Australia. Frequent co-authors include Thomas K. Paul, Mahmudur Rahman, Madihally J. Narasimha, Roberto B. Togneri, Yuanjun Zhao, Xianjun Xia, Ravi P. Ramachandran, Geoffrey L. Herman, Kiran Gunnam and Basant Kumar Mohanty. Their work appears in journals such as Signal Processing, IEEE Access, IEEE Circuits and Systems Magazine, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Circuits & Systems II Express Briefs.

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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