Umar Hayat

880 citations
36 papers · 642 · h-index 13

Impact in

Papers in

Umar Hayat

33 papers receiving 599 citations

Peers

Umar Hayat
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 500
  • Artificial Intelligence 356
  • Information Systems 117
  • Radiological and Ultrasound Technology 25
  • Computational Theory and Mathematics 69
Replace Aravind Sukumaran-Rajam with:
Aravind Sukumaran-Rajam United States
Agnes Chan United States
Ben Whitney United States
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Amr Aboshousha Egypt
Olivier Roussel France
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Nedal Tahat Jordan
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Carl Friedrich Gauß
Umar Hayat relative to Aravind Sukumaran-Rajam United States Aravind Sukumaran-Rajam's profile →
Citations per field
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Citations per year

Countries citing papers authored by Umar Hayat

Since Specialization
Citations

This map shows the geographic impact of Umar Hayat'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 Umar Hayat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umar Hayat more than expected).

Fields of papers citing papers by Umar Hayat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umar Hayat. 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 Umar Hayat. The network helps show where Umar Hayat may publish in the future.

Co-authors

The 20 scholars most cited alongside Umar Hayat, 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 Umar Hayat Line = papers co-authored together Umar Hayat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018137
2 201875
3 202158
4 201846
5 201836
6 202035
7 202334
8 202131
9 202124
10 202220
11 202319
12 202318
13 202015
14 201310
15 202210
16 20199
17 20228
18 20237
19 20257
20 20196

About Umar Hayat

Umar Hayat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Geometry and Topology and Geophysics, having authored 36 papers that have together received 642 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (17 papers), Coding theory and cryptography (14 papers), Cryptographic Implementations and Security (14 papers), Cryptography and Residue Arithmetic (11 papers), Advanced Steganography and Watermarking Techniques (8 papers), Graph theory and applications (3 papers), Earthquake Detection and Analysis (3 papers) and graph theory and CDMA systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (500 citations), Artificial Intelligence (356 citations), Information Systems (117 citations), Radiological and Ultrasound Technology (25 citations) and Computational Theory and Mathematics (69 citations). Umar Hayat has collaborated with scholars based in Pakistan, Japan and United Kingdom. Frequent co-authors include Naveed Ahmed Azam, Muhammad Asif, Ikram Ullah, Aamir Ali, Khaista Rehman, Miguel D. Bustamante, Talat Iqbal, Quentin Crowley, N. Siddique and Fazal Abbas. Their work appears in journals such as Arabian Journal for Science and Engineering, Expert Systems with Applications, Signal Processing, Symmetry and Communications in Nonlinear Science and Numerical Simulation.

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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