Kamal Nasrollahi

93 papers receiving 2.2k citations

Hit Papers

Super-resolution: a comprehensive survey201420262018202220142022100200300400

Peers

Kamal Nasrollahi
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 445
  • Media Technology 358
  • Biomedical Engineering 317
  • Experimental and Cognitive Psychology 310
Replace Wenqiang Zhang with:
Wenqiang Zhang China
Shang‐Hong Lai Taiwan
Honggang Zhang China
Xiaoyang Tan China
Faouzi Alaya Cheikh Norway
Simone Bianco Italy
Panos Trahanias Greece
Zhiwu Huang China
Bing‐Fei Wu Taiwan
Jesse S. Jin Australia
Kamal Nasrollahi relative to Wenqiang Zhang China Wenqiang Zhang's profile →
Citations per field
00.5×20×40×54×
Wenqiang Zhang · 1×
Citations per year

Countries citing papers authored by Kamal Nasrollahi

Since Specialization
Citations

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

Fields of papers citing papers by Kamal Nasrollahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamal Nasrollahi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 0
4 62
5 1
6 74
7 59
8 2
9 3
10 9
11 0
12 0
13 204
14 49
15 67
16 20
17 31
18 39
19 60
20
Low-Cost Hand Vein Pattern Recognition
4

About Kamal Nasrollahi

Kamal Nasrollahi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 97 papers that have together received 2.2k indexed citations. Recurring topics across this work include Face recognition and analysis (26 papers), Video Surveillance and Tracking Methods (21 papers) and Face and Expression Recognition (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Media Technology (358 citations) and Experimental and Cognitive Psychology (310 citations). Kamal Nasrollahi has collaborated with scholars based in Denmark, Spain and Estonia. Frequent co-authors include Thomas B. Moeslund, Radu Tudor Ionescu, Mohammad A. Haque, Fahad Shahbaz Khan, Sérgio Escalera, Neelu Madan, Nicolae-Cătălin Ristea, Mubarak Shah, Jordi Gonzàlez and Pau Rodríguez. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

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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