Sikandar Amin

1.1k citations
9 papers · 507 indexed · h-index 8

Sikandar Amin

9 papers receiving 486 citations

Peers

Sikandar Amin
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 457
  • Human-Computer Interaction 59
  • Transportation 19
  • Artificial Intelligence 69
  • Endocrinology, Diabetes and Metabolism 36
Replace Ka Keung Lee with:
Ka Keung Lee Hong Kong
Hoang Le Uyen Thuc Vietnam
Chuankun Li China
Maria Cornacchia United States
Ming Shao United States
Harshala Gammulle Australia
Loren Schwarz Germany
Min-Hung Chen United States
Zhen-Peng Bian Singapore
Sikandar Amin relative to Ka Keung Lee Hong Kong Ka Keung Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sikandar Amin

Since Specialization
Citations

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

Fields of papers citing papers by Sikandar Amin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Sikandar Amin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sikandar Amin Line = papers co-authored together Sikandar Amin links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202226
2 202013
3
Knowledge Distillation for End-to-End Person Search.
20194
4 2019104
5 201722
6 201523
7 201578
8 2014148
9 201389

About Sikandar Amin

Sikandar Amin is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology and Ocean Engineering, having authored 9 papers that have together received 507 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (7 papers), Hand Gesture Recognition Systems (3 papers), Advanced Neural Network Applications (2 papers), Automated Road and Building Extraction (1 paper), Emotion and Mood Recognition (1 paper), Speech and Audio Processing (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (457 citations), Human-Computer Interaction (59 citations), Transportation (19 citations), Artificial Intelligence (69 citations) and Endocrinology, Diabetes and Metabolism (36 citations). Sikandar Amin has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Mykhaylo Andriluka, Bernt Schiele, Fabio Galasso, Vasileios Belagiannis, Slobodan Ilić, Nassir Navab, Federico Tombari, Marcus Rohrbach, Philipp Müller and Prateek Verma. Their work appears in journals such as Image and Vision Computing, Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, IRIS Research product catalog (Sapienza University of Rome) and arXiv (Cornell University).

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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2026