Mahmud Hasan
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Sociology and Political Science
- Co-authors
- Mehmet A. OrgunRolf SchwitterMahmoud R. El-SakkaKamruddin NurSujoy Chandra DasAklima Akter LimaMd. Mohsin KabirM. F. Mridha
- Topics
- Image and Signal Denoising Methods (4 papers)Complex Network Analysis Techniques (4 papers)Advanced Data Compression Techniques (4 papers)
- Partner nations
- AustraliaCanadaBangladesh
In The Last Decade
Mahmud Hasan
15 papers receiving 382 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 205
- Statistical and Nonlinear Physics 140
- Computer Vision and Pattern Recognition 91
- Information Systems 71
- Sociology and Political Science 41
Countries citing papers authored by Mahmud Hasan
This map shows the geographic impact of Mahmud 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 Mahmud Hasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmud Hasan more than expected).
Fields of papers citing papers by Mahmud Hasan
This network shows the impact of papers produced by Mahmud 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 Mahmud Hasan. The network helps show where Mahmud Hasan may publish in the future.
Co-authorship network of co-authors of Mahmud Hasan
This figure shows the co-authorship network connecting the top 25 collaborators of Mahmud Hasan. A scholar is included among the top collaborators of Mahmud 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 Mahmud Hasan. Mahmud 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 | 0 | |
| 2 | 1 | |
| 3 | 70 | |
| 4 | 61 | |
| 5 | 104 | |
| 6 | Granger Causality Method to Detect Spatial Dependency in a Road Traffic Network and its Application in Traffic Flow Prediction | 1 |
| 7 | 121 | |
| 8 | Analysing functional connectivity and causal dependence in road traffic networks with Granger causality | 3 |
| 9 | 12 | |
| 10 | 13 | |
| 11 | BM3D Image Denoising using SSIM Optimized Wiener Filter | 1 |
| 12 | COMPUTATIONAL COMPLEXITY REDUCTION OF JPEG IMAGES | 4 |
| 13 | A Lossless Image Compression Technique using Location Based Approach | 5 |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 4 |
About Mahmud Hasan
Mahmud Hasan is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Graphics and Computer-Aided Design, having authored 16 papers that have together received 405 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Complex Network Analysis Techniques (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (140 citations), Artificial Intelligence (205 citations) and Communication (41 citations). Mahmud Hasan has collaborated with scholars based in Australia, Canada and Bangladesh. Frequent co-authors include Mehmet A. Orgun, Rolf Schwitter, Mahmoud R. El-Sakka, Kamruddin Nur, Sujoy Chandra Das, Aklima Akter Lima, Md. Mohsin Kabir, M. F. Mridha, Jiwon Kim and Jiwon Kim. Their work appears in journals such as IEEE Access, Information Processing & Management and Electronics.
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.