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 recognition and analysis 2
- Video Surveillance and Tracking Methods 2
- Face and Expression Recognition 2
- Digital Imaging for Blood Diseases 1
- Co-authors
- Deepak Kumar JainPourya ShamsolmoaliSandeep VermaSatnam KaurMohammad Ayoub KhanVarun G. MenonFadi Al‐TurjmanSunil Jacob
- Journals
- Pattern Recognition Letters (4 papers)IEEE Communications Standards Magazine (1 paper)IEEE Internet of Things Journal (1 paper)Big Data (1 paper)Computer Communications (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Paramjit Sehdev
10 papers receiving 485 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Experimental and Cognitive Psychology 212
- Computer Vision and Pattern Recognition 220
- Computer Networks and Communications 82
- Health Informatics 4
- Cognitive Neuroscience 54
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-authorship network
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 | 2021 | 17 | |
| 2 | 2021 | 10 | |
| 3 | 2021 | 8 | |
| 4 | 2020 | 98 | |
| 5 | 2020 | 0 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 50 | |
| 8 | Extended deep neural network for facial emotion recognition Hit paper breakdown → | 2019 | 271 |
| 9 | 2018 | 9 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 9 | |
| 12 | 2003 | 0 |
About Paramjit Sehdev
Paramjit Sehdev is a scholar working on Computer Vision and Pattern Recognition, Urban Studies, Automotive Engineering, Artificial Intelligence and Safety, Risk, Reliability and Quality, having authored 12 papers that have together received 499 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Face recognition and analysis (2 papers), Video Surveillance and Tracking Methods (2 papers), Face and Expression Recognition (2 papers), Energy Harvesting in Wireless Networks (1 paper), Sparse and Compressive Sensing Techniques (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (212 citations), Computer Vision and Pattern Recognition (220 citations), Computer Networks and Communications (82 citations), Health Informatics (4 citations) and Cognitive Neuroscience (54 citations). Paramjit Sehdev has collaborated with scholars based in United States, China and India. Frequent co-authors include Deepak Kumar Jain, Pourya Shamsolmoali, Sandeep Verma, Satnam Kaur, Mohammad Ayoub Khan, Varun G. Menon, Fadi Al‐Turjman, Sunil Jacob, Mohammad R. Khosravi and Jun Li. Their work appears in journals such as Pattern Recognition Letters, IEEE Communications Standards Magazine, IEEE Internet of Things Journal, Big Data and Computer Communications.
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.