Mennatullah Siam

15 papers receiving 363 citations

Peers

Mennatullah Siam
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 297
  • Artificial Intelligence 150
  • Aerospace Engineering 44
  • Media Technology 40
  • Radiology, Nuclear Medicine and Imaging 29
Replace Mohammadreza Mostajabi with:
Mohammadreza Mostajabi Iran
Kevin J. Shih United States
Tobias Pohlen Germany
Lanyun Zhu China
Nasim Souly United States
Huafeng Liu China
Marcos Escudero-Viñolo Spain
Gianluca Agresti Italy
Bert De Brabandere Belgium
Huaxin Xiao China
Mennatullah Siam relative to Mohammadreza Mostajabi Iran Mohammadreza Mostajabi's profile →
Citations per field
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Mohammadreza Mostajabi · 1×
Citations per year

Countries citing papers authored by Mennatullah Siam

Since Specialization
Citations

This map shows the geographic impact of Mennatullah Siam'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 Mennatullah Siam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mennatullah Siam more than expected).

Fields of papers citing papers by Mennatullah Siam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mennatullah Siam. 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 Mennatullah Siam. The network helps show where Mennatullah Siam may publish in the future.

Co-authorship network of co-authors of Mennatullah Siam

This figure shows the co-authorship network connecting the top 25 collaborators of Mennatullah Siam. A scholar is included among the top collaborators of Mennatullah Siam 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 Mennatullah Siam. Mennatullah Siam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 1
6 8
7 15
8 13
9
Adaptive Masked Weight Imprinting for Few-Shot Segmentation
11
10 116
11 6
12 44
13 117
14 11
15 1
16
Motion and Appearance Based Multi-Task Learning Network for Autonomous Driving
0
17 1
18 5
19 20

About Mennatullah Siam

Mennatullah Siam is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Modeling and Simulation, having authored 19 papers that have together received 370 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (297 citations), Artificial Intelligence (150 citations) and Media Technology (40 citations). Mennatullah Siam has collaborated with scholars based in Canada, Egypt and France. Frequent co-authors include Martin Jägersand, Boris N. Oreshkin, Senthil Yogamani, Hong Zhang, Mohamed Elhelw, Mohamed Zahran, Richard P. Wildes, Rezaul Karim, He Zhao and Nilanjan Ray. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Geoscience and Remote Sensing Letters.

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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