Mahmudul Hasan
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 2%
- Biomedical Engineering top 10%
- Signal Processing top 5%
- Co-authors
- Amit K. Roy–ChowdhuryJonghyun ChoiJan NeumannLarry S. DavisMd Zahangir AlomStefan WestbergChris YakopcicVijayan K. Asari
- Topics
- Human Pose and Action Recognition (9 papers)Anomaly Detection Techniques and Applications (8 papers)Video Surveillance and Tracking Methods (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Multimedia
- Partner nations
- United StatesCanadaBangladesh
In The Last Decade
Mahmudul Hasan
17 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 921
- Computer Networks and Communications 625
- Biomedical Engineering 350
- Signal Processing 142
Countries citing papers authored by Mahmudul Hasan
This map shows the geographic impact of Mahmudul Hasan'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 Mahmudul Hasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmudul Hasan more than expected).
Fields of papers citing papers by Mahmudul Hasan
This network shows the impact of papers produced by Mahmudul Hasan. 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 Mahmudul Hasan. The network helps show where Mahmudul Hasan may publish in the future.
Co-authorship network of co-authors of Mahmudul Hasan
This figure shows the co-authorship network connecting the top 25 collaborators of Mahmudul Hasan. A scholar is included among the top collaborators of Mahmudul Hasan 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 Mahmudul Hasan. Mahmudul Hasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 26 | |
| 4 | A State-of-the-Art Survey on Deep Learning Theory and Architecturesbreakdown → | 1134 |
| 5 | 13 | |
| 6 | 32 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | Learning Temporal Regularity in Video Sequencesbreakdown → | 870 |
| 11 | 21 | |
| 12 | 3 | |
| 13 | 61 | |
| 14 | 4 | |
| 15 | 54 | |
| 16 | 31 | |
| 17 | 4 | |
| 18 | Integrating Geometric, Motion and Appearance Constraints for Robust Tracking in Aerial Videos | 1 |
About Mahmudul Hasan
Mahmudul Hasan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 18 papers that have together received 2.3k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (921 citations), Artificial Intelligence (1.3k citations) and Computer Networks and Communications (625 citations). Mahmudul Hasan has collaborated with scholars based in United States, Canada and Bangladesh. Frequent co-authors include Amit K. Roy–Chowdhury, Jonghyun Choi, Jan Neumann, Larry S. Davis, Md Zahangir Alom, Stefan Westberg, Chris Yakopcic, Vijayan K. Asari, Paheding Sidike and Abdul Ahad S. Awwal. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Multimedia.
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.