S. Mahamud

578 total citations
11 papers, 354 citations indexed

About

S. Mahamud is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Molecular Biology. According to data from OpenAlex, S. Mahamud has authored 11 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 1 paper in Molecular Biology. Recurrent topics in S. Mahamud's work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Vision and Imaging (4 papers) and Face and Expression Recognition (3 papers). S. Mahamud is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Advanced Vision and Imaging (4 papers) and Face and Expression Recognition (3 papers). S. Mahamud collaborates with scholars based in United States. S. Mahamud's co-authors include Martial Hebert, Lance R. Williams, K.K. Thornber, B.W. Peterson, Andrew G. Barto, James C. Houk, Ronald E. Kettner, Hoi‐Chung Leung, Jean Ponce and Yasuo OMORI and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Neurophysiology.

In The Last Decade

S. Mahamud

11 papers receiving 330 citations

Peers

S. Mahamud
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 238
  • Cognitive Neuroscience 80
  • Neurology 60
  • Aerospace Engineering 58
  • Media Technology 47
Replace Christoph Rasche with:
Christoph Rasche Romania
Oscar Nestares United States
Umesh Rajashekar United States
T. Jiang China
Shunyu Yao China
David Weiß United States
Steven McDonagh United Kingdom
T. Satya Savithri India
Tianzhu Wang China
Cosmin Grigorescu Netherlands
Christoph Rasche Romania View profile →
Citations per field, relative to S. Mahamud
S. Mahamud · 1×
Citations per year, relative to S. Mahamud
S. Mahamud · 1×

Countries citing papers authored by S. Mahamud

Since Specialization
Citations

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

Fields of papers citing papers by S. Mahamud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Mahamud

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 37
2 5
3
3D Photography from Photographs and Video Clips
1
4 31
5 99
6 2
7 59
8
Discriminative distance measures for object detection
8
9 24
10 1
11 87

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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