M. A. H. Akhand
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 2%
- Industrial and Manufacturing Engineering top 2%
- Experimental and Cognitive Psychology top 5%
- Media Technology top 2%
- Co-authors
- Nazmul SiddiqueMd Abdus Samad KamalM. M. Hafizur RahmanHojjat AdeliKazuyuki MurasePintu Chandra ShillShuvendu RoyTetsuya Shimamura
- Topics
- Vehicle Routing Optimization Methods (16 papers)Handwritten Text Recognition Techniques (16 papers)Neural Networks and Applications (15 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- 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
- Artificial Intelligence 458
- Computer Vision and Pattern Recognition 432
- Industrial and Manufacturing Engineering 172
- Experimental and Cognitive Psychology 164
- Media Technology 160
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 of co-authors of M. A. H. Akhand
This figure shows the co-authorship network connecting the top 25 collaborators of M. A. H. Akhand. A scholar is included among the top collaborators of M. A. H. Akhand based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. A. H. Akhand. M. A. H. Akhand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 15 | |
| 15 | Acoustic Modeling of Bangla Words using Deep Belief Network | 4 |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 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) and Neural Networks and Applications (15 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 SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.