Baraka Maiseli
Impact in
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- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Advanced Image Processing Techniques 15
- Image and Signal Denoising Methods 12
- Advanced Neural Network Applications 4
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- Sparse and Compressive Sensing Techniques 8
- Co-authors
- Huijun Gao (9 shared papers)Yanfeng Gu (2 shared papers)Sawahiko Shimada (1 shared paper)Dina Machuve (1 shared paper)Guoxin Li (4 shared papers)Jiangyuan Mei (3 shared papers)Junfeng Zhou (3 shared papers)Chuan Wu (1 shared paper)
In The Last Decade
Baraka Maiseli
43 papers receiving 445 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 196
- Media Technology 65
- Geology 23
- Analytical Chemistry 27
- Cognitive Neuroscience 51
Countries citing papers authored by Baraka Maiseli
This map shows the geographic impact of Baraka Maiseli'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 Baraka Maiseli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baraka Maiseli more than expected).
Fields of papers citing papers by Baraka Maiseli
This network shows the impact of papers produced by Baraka Maiseli. 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 Baraka Maiseli. The network helps show where Baraka Maiseli may publish in the future.
Co-authors
The 19 scholars most cited alongside Baraka Maiseli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 93 | |
| 2 | 2020 | 64 | |
| 3 | 2023 | 63 | |
| 4 | 2015 | 27 | |
| 5 | 2018 | 18 | |
| 6 | 2015 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2013 | 14 | |
| 9 | 2014 | 13 | |
| 10 | 2015 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2025 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2014 | 9 | |
| 15 | 2013 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2020 | 5 |
About Baraka Maiseli
Baraka Maiseli is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology, Biomedical Engineering and Ocean Engineering, having authored 47 papers that have together received 464 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (15 papers), Image and Signal Denoising Methods (12 papers), Sparse and Compressive Sensing Techniques (8 papers), Microwave Imaging and Scattering Analysis (5 papers), Image Processing Techniques and Applications (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Advanced Neural Network Applications (4 papers) and Technology Adoption and User Behaviour (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (196 citations), Media Technology (65 citations), Geology (23 citations), Analytical Chemistry (27 citations) and Cognitive Neuroscience (51 citations). Baraka Maiseli has collaborated with scholars based in Tanzania, China and Kenya. Frequent co-authors include Huijun Gao, Yanfeng Gu, Sawahiko Shimada, Dina Machuve, Guoxin Li, Jiangyuan Mei, Junfeng Zhou, Chuan Wu, Maqbool Khan and Mussa Ally Dida. Their work appears in journals such as Scientific Reports, Knowledge-Based Systems, Signal Processing Image Communication, IEEE Access and Journal of the Franklin Institute.
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.