Paramjit Sehdev
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Face recognition and analysis
Papers in
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- Face and Expression Recognition 2
- Face recognition and analysis 2
- Video Surveillance and Tracking Methods 2
- Digital Imaging for Blood Diseases 1
- Co-authors
- Pourya Shamsolmoali (1 shared paper)Deepak Kumar Jain (1 shared paper)Sandeep Verma (2 shared papers)Satnam Kaur (2 shared papers)Mohammad Ayoub Khan (1 shared paper)Varun G. Menon (3 shared papers)Fadi Al‐Turjman (1 shared paper)Sunil Jacob (2 shared papers)
- Journals
- Pattern Recognition Letters (4 papers)IEEE Internet of Things Journal (1 paper)Internet of Things (1 paper)Cognitive Systems Research (1 paper)IEEE Communications Standards Magazine (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Paramjit Sehdev
10 papers receiving 495 citations
Paramjit Sehdev's Hit Papers
Peers
Comparison fields: 5 of 75
- Experimental and Cognitive Psychology 214
- Computer Vision and Pattern Recognition 223
- Computer Networks and Communications 83
- Health Informatics 4
- Cognitive Neuroscience 53
Countries citing papers authored by Paramjit Sehdev
This map shows the geographic impact of Paramjit Sehdev'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 Paramjit Sehdev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paramjit Sehdev more than expected).
Fields of papers citing papers by Paramjit Sehdev
This network shows the impact of papers produced by Paramjit Sehdev. 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 Paramjit Sehdev. The network helps show where Paramjit Sehdev may publish in the future.
Co-authors
The 25 scholars most cited alongside Paramjit Sehdev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Extended deep neural network for facial emotion recognition Hit paper breakdown → | 2019 | 275 |
| 2 | 2020 | 100 | |
| 3 | 2020 | 51 | |
| 4 | 2021 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2020 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2018 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 0 | |
| 12 | 2003 | 0 |
About Paramjit Sehdev
Paramjit Sehdev is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Automotive Engineering, having authored 12 papers that have together received 508 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (2 papers), Face and Expression Recognition (2 papers), Face recognition and analysis (2 papers), Video Surveillance and Tracking Methods (2 papers), CCD and CMOS Imaging Sensors (2 papers), Fire Detection and Safety Systems (1 paper), Digital Imaging for Blood Diseases (1 paper) and Advanced MIMO Systems Optimization (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (214 citations), Computer Vision and Pattern Recognition (223 citations), Computer Networks and Communications (83 citations), Health Informatics (4 citations) and Cognitive Neuroscience (53 citations). Paramjit Sehdev has collaborated with scholars based in United States, China and India. Frequent co-authors include Pourya Shamsolmoali, Deepak Kumar Jain, Sandeep Verma, Satnam Kaur, Mohammad Ayoub Khan, Varun G. Menon, Fadi Al‐Turjman, Sunil Jacob, Mohammad R. Khosravi and Jie Wu. Their work appears in journals such as Pattern Recognition Letters, IEEE Internet of Things Journal, Internet of Things, Cognitive Systems Research and IEEE Communications Standards Magazine.
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.