Abdul Razaq

1.4k citations
100 papers · 935 · h-index 17

Impact in

Papers in

Abdul Razaq

86 papers receiving 895 citations

Peers

Abdul Razaq
Comparison fields: 5 of 122
  • Computer Vision and Pattern Recognition 350
  • Artificial Intelligence 369
  • Management Science and Operations Research 142
  • Computational Theory and Mathematics 129
  • Geometry and Topology 63
Replace Fengshan Bai with:
Fengshan Bai China
Renato De Leone Italy
Xian Li China
Youlin Shang China
Xingwen Liu China
Y. Lecourtier France
Jumat Sulaiman Malaysia
John W. Gorman United States
Maslina Darus Malaysia
Tung‐I Tsai Taiwan
Abdul Razaq relative to Fengshan Bai China Fengshan Bai's profile →
Citations per field
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Fengshan Bai · 1×
Citations per year

Countries citing papers authored by Abdul Razaq

Since Specialization
Citations

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

Fields of papers citing papers by Abdul Razaq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Abdul Razaq, 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 Abdul Razaq Line = papers co-authored together Abdul Razaq links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 202061
3 201752
4 202040
5 202130
6 202028
7 202427
8 202126
9 202125
10 202324
11 201923
12 202321
13 202120
14 201920
15 201919
16 202417
17 202316
18 202216
19
BAME Covid-19 Deaths - what do we know?: rapid data & evidence review
202016
20 202016

About Abdul Razaq

Abdul Razaq is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 935 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (29 papers), Coding theory and cryptography (18 papers), Chaos-based Image/Signal Encryption (15 papers), Cryptographic Implementations and Security (14 papers), Fuzzy and Soft Set Theory (14 papers), Optimization and Mathematical Programming (11 papers), Fuzzy Systems and Optimization (8 papers) and Advanced Algebra and Logic (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (350 citations), Artificial Intelligence (369 citations), Management Science and Operations Research (142 citations), Computational Theory and Mathematics (129 citations) and Geometry and Topology (63 citations). Abdul Razaq has collaborated with scholars based in Pakistan, Saudi Arabia and India. Frequent co-authors include Hanan Alolaiyan, Awais Yousaf, Musheer Ahmad, Arshad Riaz, Atta Ullah, A. Zeeshan, M. M. Bhatti, Moatsum Alawida, Muhammad Majid Hussain and Waqar Aslam. Their work appears in journals such as IEEE Access, Scientific Reports, Symmetry, Wireless Personal Communications and Multimedia Tools and Applications.

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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