Mahmudul Hasan

3.5k total citations · 2 hit papers
18 papers, 2.3k citations indexed

About

Mahmudul Hasan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Mahmudul Hasan has authored 18 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 1 paper in Infectious Diseases. Recurrent topics in Mahmudul Hasan's work include Human Pose and Action Recognition (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Video Surveillance and Tracking Methods (4 papers). Mahmudul Hasan is often cited by papers focused on Human Pose and Action Recognition (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Video Surveillance and Tracking Methods (4 papers). Mahmudul Hasan collaborates with scholars based in United States, Canada and Bangladesh. Mahmudul Hasan's co-authors include Amit K. Roy–Chowdhury, Jan Neumann, Jonghyun Choi, Larry S. Davis, Mst Shamima Nasrin, Stefan Westberg, Brian C. Van Essen, Chris Yakopcic, Abdul Ahad S. Awwal and Vijayan K. Asari and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Multimedia.

In The Last Decade

Mahmudul Hasan

17 papers receiving 2.2k citations

Hit Papers

A State-of-the-Art Survey... 2016 2026 2019 2022 2019 2016 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A State-of-the-Art Survey on Deep Learning Theory and Architectures
    2019 1.1k citations Md Zahangir Alom, Tarek M. Taha et al. Electronics profile →
  2. Learning Temporal Regularity in Video Sequences
    2016 870 citations Mahmudul Hasan, Jonghyun Choi et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mahmudul Hasan United States 9 1.3k 921 625 350 142 18 2.3k
Tian Wang China 27 715 0.6× 1.1k 1.2× 278 0.4× 280 0.8× 90 0.6× 125 2.2k
Danijel Skočaj Slovenia 20 1.1k 0.8× 843 0.9× 260 0.4× 99 0.3× 153 1.1× 67 2.0k
Arif Mahmood Pakistan 28 887 0.7× 1.7k 1.9× 339 0.5× 357 1.0× 216 1.5× 121 2.7k
Ming Zong China 13 930 0.7× 694 0.8× 156 0.2× 192 0.5× 166 1.2× 24 2.3k
Matej Kristan Slovenia 25 1.1k 0.9× 2.5k 2.8× 268 0.4× 203 0.6× 141 1.0× 89 4.0k
Tareq Abed Mohammed Iraq 7 754 0.6× 708 0.8× 175 0.3× 186 0.5× 217 1.5× 18 2.7k
Saad Albawi Iraq 8 753 0.6× 727 0.8× 154 0.2× 195 0.6× 219 1.5× 16 2.7k
Saad Al-Azawi Iraq 6 733 0.6× 736 0.8× 157 0.3× 192 0.5× 234 1.6× 16 2.6k
Hichem Snoussi France 32 1.1k 0.8× 1.2k 1.3× 908 1.5× 345 1.0× 297 2.1× 162 3.5k
Sidan Du China 24 414 0.3× 644 0.7× 305 0.5× 314 0.9× 108 0.8× 115 2.0k

Countries citing papers authored by Mahmudul Hasan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

18 of 18 papers shown
1.
Hasan, Mahmudul, et al.. (2024). Nipah virus outbreak trends in Bangladesh during the period 2001 to 2024: a brief review. SHILAP Revista de lepidopterología. 4. 100103–100103. 3 indexed citations
2.
3.
Islam, Md. Mohaiminul, et al.. (2023). Efficient Movie Scene Detection using State-Space Transformers. 18749–18758. 26 indexed citations
4.
Alom, Md Zahangir, Tarek M. Taha, Chris Yakopcic, et al.. (2019). A State-of-the-Art Survey on Deep Learning Theory and Architectures. Electronics. 8(3). 292–292. 1134 indexed citations breakdown →
5.
Hasan, Mahmudul, Sujoy Paul, Anastasios I. Mourikis, & Amit K. Roy–Chowdhury. (2018). Context-Aware Query Selection for Active Learning in Event Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(3). 554–567. 13 indexed citations
6.
Hasan, Mahmudul, et al.. (2017). Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos. 5784–5793. 32 indexed citations
7.
Hasan, Mahmudul, et al.. (2016). Illustrative multilevel focus+context visualization along snaking paths. The Visual Computer. 33(10). 1291–1306. 3 indexed citations
8.
Hasan, Mahmudul, et al.. (2016). Interactive Data Styling and Multifocal Visualization for a View-Aware Digital Earth. PRISM (University of Calgary). 1 indexed citations
9.
Hasan, Mahmudul, et al.. (2016). A poisson process model for activity forecasting. 3339–3343. 21 indexed citations
10.
Hasan, Mahmudul & Amit K. Roy–Chowdhury. (2016). Incremental learning of human activity models from videos. Computer Vision and Image Understanding. 144. 24–35. 6 indexed citations
11.
Hasan, Mahmudul, Jonghyun Choi, Jan Neumann, Amit K. Roy–Chowdhury, & Larry S. Davis. (2016). Learning Temporal Regularity in Video Sequences. 733–742. 870 indexed citations breakdown →
12.
Hasan, Mahmudul & Amit K. Roy–Chowdhury. (2015). A Continuous Learning Framework for Activity Recognition Using Deep Hybrid Feature Models. IEEE Transactions on Multimedia. 17(11). 1909–1922. 61 indexed citations
13.
Hasan, Mahmudul, Faramarz Samavati, & Mário Costa Sousa. (2015). Balanced multiresolution for symmetric/antisymmetric filters. Graphical Models. 78. 36–59. 3 indexed citations
14.
Hasan, Mahmudul, Faramarz Samavati, & Christian Jacob. (2015). Interactive multilevel focus+context visualization framework. The Visual Computer. 32(3). 323–334. 4 indexed citations
15.
Hasan, Mahmudul & Amit K. Roy–Chowdhury. (2015). Context Aware Active Learning of Activity Recognition Models. 4543–4551. 54 indexed citations
16.
Hasan, Mahmudul & Amit K. Roy–Chowdhury. (2014). Incremental Activity Modeling and Recognition in Streaming Videos. 796–803. 31 indexed citations
17.
Hasan, Mahmudul, Faramarz Samavati, & Christian Jacob. (2014). Multilevel Focus+Context Visualization Using Balanced Multiresolution. 145–152. 4 indexed citations
18.
Hasan, Mahmudul. (2013). Integrating Geometric, Motion and Appearance Constraints for Robust Tracking in Aerial Videos. eScholarship (California Digital Library). 1 indexed citations

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.

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