M. A. H. Akhand
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- Handwritten Text Recognition Techniques 16
- Face and Expression Recognition 14
- Media Technology top 2%
- Vehicle License Plate Recognition 12
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- Vehicle Routing Optimization Methods 16
- Artificial Intelligence top 5%
- Neural Networks and Applications 15
- Metaheuristic Optimization Algorithms Research 12
- Human-Computer Interaction top 5%
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- EEG and Brain-Computer Interfaces 13
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- Speech and Audio Processing 9
- Co-authors
- Nazmul SiddiqueMd Abdus Samad KamalM. M. Hafizur RahmanHojjat AdeliKazuyuki MurasePintu Chandra ShillShuvendu RoyTetsuya Shimamura
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- Electronics (4 papers)International Journal of Neural Systems (4 papers)Scientific Reports (1 paper)
- Partner nations
- BangladeshJapanMalaysia
In The Last Decade
M. A. H. Akhand
109 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 432
- Media Technology 160
- Industrial and Manufacturing Engineering 172
- Artificial Intelligence 458
- Human-Computer Interaction 73
Countries citing papers authored by M. A. H. Akhand
This map shows the geographic impact of M. A. H. Akhand'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 M. A. H. Akhand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. H. Akhand more than expected).
Fields of papers citing papers by M. A. H. Akhand
This network shows the impact of papers produced by M. A. H. Akhand. 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 M. A. H. Akhand. The network helps show where M. A. H. Akhand may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. A. H. Akhand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 2 | |
| 9 | 2019 | 5 | |
| 10 | 2018 | 3 | |
| 11 | 2018 | 2 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 4 | |
| 14 | 2016 | 15 | |
| 15 | Acoustic Modeling of Bangla Words using Deep Belief Network | 2015 | 4 |
| 16 | 2015 | 11 | |
| 17 | 2015 | 4 | |
| 18 | 2007 | 1 | |
| 19 | 2006 | 3 | |
| 20 | 2006 | 1 |
About M. A. H. Akhand
M. A. H. Akhand is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Media Technology, having authored 114 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (16 papers), Handwritten Text Recognition Techniques (16 papers), Neural Networks and Applications (15 papers), Face and Expression Recognition (14 papers), EEG and Brain-Computer Interfaces (13 papers), Vehicle License Plate Recognition (12 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Speech and Audio Processing (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (432 citations), Media Technology (160 citations) and Industrial and Manufacturing Engineering (172 citations). M. A. H. Akhand has collaborated with scholars based in Bangladesh, Japan and Malaysia. Frequent co-authors include Nazmul Siddique, Md Abdus Samad Kamal, M. M. Hafizur Rahman, Hojjat Adeli, Kazuyuki Murase, Pintu Chandra Shill, Shuvendu Roy, Tetsuya Shimamura, Safial Islam Ayon and Shahidul Islam. Their work appears in journals such as Electronics, International Journal of Neural Systems, Scientific Reports, Data in Brief and IEEE Access.
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.