Saiyed Umer
Impact in
- Signal Processing top 2%
- Biometric Identification and Security
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- Emotion and Mood Recognition
Papers in
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- Biometric Identification and Security 19
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- Face recognition and analysis 6
- Face and Expression Recognition 4
- Co-authors
- Bibhas Chandra Dhara (19 shared papers)Ranjeet Kumar Rout (35 shared papers)Bhabatosh Chanda (10 shared papers)Hari Mohan Pandey (6 shared papers)Chiara Pero (6 shared papers)Michele Nappi (2 shared papers)Aniello Castiglione (1 shared paper)Carmen Bisogni (1 shared paper)
- Journals
- Applied Soft Computing (2 papers)IEEE Internet of Things Journal (2 papers)IEEE Access (2 papers)Journal of Ambient Intelligence and Humanized Computing (2 papers)Pattern Recognition Letters (2 papers)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Saiyed Umer
57 papers receiving 940 citations
Peers
Comparison fields: 5 of 67
- Signal Processing 304
- Experimental and Cognitive Psychology 260
- Computer Vision and Pattern Recognition 225
- Artificial Intelligence 95
- Health Informatics 4
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-authors
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
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 118 | |
| 2 | 2021 | 79 | |
| 3 | 2019 | 64 | |
| 4 | 2017 | 51 | |
| 5 | 2023 | 50 | |
| 6 | 2015 | 46 | |
| 7 | 2015 | 45 | |
| 8 | 2019 | 41 | |
| 9 | 2020 | 30 | |
| 10 | 2021 | 29 | |
| 11 | 2022 | 24 | |
| 12 | 2020 | 23 | |
| 13 | 2020 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2024 | 20 | |
| 16 | 2015 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2024 | 18 | |
| 19 | 2020 | 17 | |
| 20 | 2021 | 17 |
About Saiyed Umer
Saiyed Umer is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Molecular Biology and Applied Psychology, having authored 62 papers that have together received 977 indexed citations. Recurring topics across this work include Biometric Identification and Security (19 papers), Emotion and Mood Recognition (12 papers), Machine Learning in Bioinformatics (8 papers), Face recognition and analysis (6 papers), Fractal and DNA sequence analysis (6 papers), Face and Expression Recognition (4 papers), Robotics and Sensor-Based Localization (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Signal Processing (304 citations), Experimental and Cognitive Psychology (260 citations), Computer Vision and Pattern Recognition (225 citations), Artificial Intelligence (95 citations) and Health Informatics (4 citations). Saiyed Umer has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Bibhas Chandra Dhara, Ranjeet Kumar Rout, Bhabatosh Chanda, Hari Mohan Pandey, Chiara Pero, Michele Nappi, Aniello Castiglione, Carmen Bisogni, Fabio Narducci and Mohammad Tanveer. Their work appears in journals such as Applied Soft Computing, IEEE Internet of Things Journal, IEEE Access, Journal of Ambient Intelligence and Humanized 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.