Saiyed Umer
- Signal Processing top 2%
- Biometric Identification and Security 18
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- Face and Expression Recognition 16
- Face recognition and analysis 13
- Advanced Steganography and Watermarking Techniques 3
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- Emotion and Mood Recognition 10
- Information Systems top 5%
- User Authentication and Security Systems 7
- Human-Computer Interaction top 10%
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- Machine Learning in Bioinformatics 9
- Bioinformatics and Genomic Networks 3
- Co-authors
- Bibhas Chandra DharaRanjeet Kumar RoutBhabatosh ChandaChiara PeroHari Mohan PandeyMichele NappiFabio NarducciAniello Castiglione
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionExperimental and Cognitive Psychology
- Journals
- IEEE Access (2 papers)IEEE Internet of Things Journal (2 papers)Journal of Ambient Intelligence and Humanized Computing (2 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Saiyed Umer
52 papers receiving 777 citations
Peers
Comparison fields: 5 of 98
- Signal Processing 282
- Computer Vision and Pattern Recognition 480
- Experimental and Cognitive Psychology 210
- Information Systems 134
- Human-Computer Interaction 30
Countries citing papers authored by Saiyed Umer
This map shows the geographic impact of Saiyed Umer'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 Saiyed Umer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saiyed Umer more than expected).
Fields of papers citing papers by Saiyed Umer
This network shows the impact of papers produced by Saiyed Umer. 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 Saiyed Umer. The network helps show where Saiyed Umer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saiyed Umer, 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 | 2024 | 12 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 14 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 44 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 25 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 7 | |
| 18 | 2019 | 55 | |
| 19 | 2018 | 10 | |
| 20 | 2014 | 5 |
About Saiyed Umer
Saiyed Umer is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Information Systems and Human-Computer Interaction, having authored 56 papers that have together received 816 indexed citations. Recurring topics across this work include Biometric Identification and Security (18 papers), Face and Expression Recognition (16 papers), Face recognition and analysis (13 papers), Emotion and Mood Recognition (10 papers), Machine Learning in Bioinformatics (9 papers), User Authentication and Security Systems (7 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Signal Processing (282 citations), Computer Vision and Pattern Recognition (480 citations), Experimental and Cognitive Psychology (210 citations), Information Systems (134 citations) and Human-Computer Interaction (30 citations). Saiyed Umer has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Bibhas Chandra Dhara, Ranjeet Kumar Rout, Bhabatosh Chanda, Chiara Pero, Hari Mohan Pandey, Michele Nappi, Fabio Narducci, Aniello Castiglione, Carmen Bisogni and M. Tanveer. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Journal of Ambient Intelligence and Humanized Computing, Applied Soft Computing and Pattern Recognition Letters.
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.