Saiyed Umer

1.3k citations
57 papers · 838 · h-index 16

Impact in

Papers in

Saiyed Umer

54 papers receiving 809 citations

Peers

Saiyed Umer
Comparison fields: 5 of 98
  • Signal Processing 281
  • Computer Vision and Pattern Recognition 483
  • Experimental and Cognitive Psychology 218
  • Information Systems 136
  • Human-Computer Interaction 29
Replace Fabio Narducci with:
Fabio Narducci Italy
Ranjeet Kumar Rout India
Gil Levi Israel
Deepak Ghimire South Korea
Bibhas Chandra Dhara India
Sijie Mai China
Shreya Ghosh Australia
Dzulkifli Mohamad Malaysia
Raja Touahni Morocco
Hung-Hsu Tsai Taiwan
Saiyed Umer relative to Fabio Narducci Italy Fabio Narducci's profile →
Citations per field
00.5×10×
Fabio Narducci · 1×
Citations per year

Countries citing papers authored by Saiyed Umer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Saiyed Umer Line = papers co-authored together Saiyed Umer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022107
2 202174
3 201956
4 202346
5 201745
6 201542
7 201542
8 201936
9 202125
10 202025
11 202020
12 202219
13 202019
14 201517
15 202415
16 202115
17 202214
18 202114
19 202013
20 202213

About Saiyed Umer

Saiyed Umer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology, Experimental and Cognitive Psychology and Information Systems, having authored 57 papers that have together received 838 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 (8 papers), User Authentication and Security Systems (7 papers), Handwritten Text Recognition Techniques (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Signal Processing (281 citations), Computer Vision and Pattern Recognition (483 citations), Experimental and Cognitive Psychology (218 citations), Information Systems (136 citations) and Human-Computer Interaction (29 citations). Saiyed Umer has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Bibhas Chandra Dhara, Ranjeet Kumar Rout, Bhabatosh Chanda, Chiara Pero, Hari Mohan Pandey, Michele Nappi, Carmen Bisogni, Aniello Castiglione, Fabio Narducci and M. Tanveer. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, IEEE Access, Multimedia Tools and Applications, IEEE Internet of Things Journal 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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