Masud Ahmed
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Hardware and Architecture top 10%
- Computer Networks and Communications
- Co-authors
- Md Atiqur Rahman AhadAnindya Das AntarNathan FisherYasushi YagiYasushi MakiharaKamath SriganeshG. S. Umamaheswara RaoTahera Hossain
- Topics
- Context-Aware Activity Recognition Systems (10 papers)Real-Time Systems Scheduling (7 papers)Embedded Systems Design Techniques (7 papers)
- Partner nations
- BangladeshUnited StatesJapan
In The Last Decade
Masud Ahmed
43 papers receiving 482 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 241
- Biomedical Engineering 124
- Artificial Intelligence 94
- Hardware and Architecture 69
- Computer Networks and Communications 58
Countries citing papers authored by Masud Ahmed
This map shows the geographic impact of Masud Ahmed'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 Masud Ahmed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masud Ahmed more than expected).
Fields of papers citing papers by Masud Ahmed
This network shows the impact of papers produced by Masud Ahmed. 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 Masud Ahmed. The network helps show where Masud Ahmed may publish in the future.
Co-authorship network of co-authors of Masud Ahmed
This figure shows the co-authorship network connecting the top 25 collaborators of Masud Ahmed. A scholar is included among the top collaborators of Masud Ahmed 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 Masud Ahmed. Masud Ahmed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 39 | |
| 12 | 78 | |
| 13 | Recent Technological Trends on CRM in the Banking Sector in India | 0 |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 31 | |
| 17 | 1 | |
| 18 | 16 | |
| 19 | 19 | |
| 20 | 2 |
About Masud Ahmed
Masud Ahmed is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Transportation, having authored 49 papers that have together received 500 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Real-Time Systems Scheduling (7 papers) and Embedded Systems Design Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Hardware and Architecture (69 citations) and Human-Computer Interaction (47 citations). Masud Ahmed has collaborated with scholars based in Bangladesh, United States and Japan. Frequent co-authors include Md Atiqur Rahman Ahad, Anindya Das Antar, Nathan Fisher, Yasushi Yagi, Yasushi Makihara, Kamath Sriganesh, G. S. Umamaheswara Rao, Tahera Hossain, Sozo Inoue and Shengquan Wang. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry and Sensors.
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.