Musrrat Ali

1.8k citations
60 papers · 1.3k · h-index 18

Impact in

Papers in

Musrrat Ali

54 papers receiving 1.3k citations

Peers

Musrrat Ali
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 691
  • Computational Theory and Mathematics 336
  • Media Technology 147
  • Artificial Intelligence 476
  • Signal Processing 60
Replace Xiaoxu Peng with:
Xiaoxu Peng China
Jorge Gálvez Mexico
Xianfang Song China
Amer Draa Algeria
Claudia I. González Mexico
Seyed Jalaleddin Mousavirad Iran
Manoj Kumar Naik India
Aijia Ouyang China
Jitender Kumar Chhabra India
Bin Gu China
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Citations per field
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Citations per year

Countries citing papers authored by Musrrat Ali

Since Specialization
Citations

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

Fields of papers citing papers by Musrrat Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Musrrat Ali, 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 Musrrat Ali Line = papers co-authored together Musrrat Ali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011212
2 2013138
3 2013133
4 2015120
5 201081
6 201374
7
Simplex Differential Evolution
200962
8 201457
9 201443
10 201442
11 201241
12 201730
13 200824
14 200923
15 200922
16 200920
17 201117
18 201617
19 202017
20 201215

About Musrrat Ali

Musrrat Ali is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computational Mechanics, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (28 papers), Advanced Multi-Objective Optimization Algorithms (24 papers), Evolutionary Algorithms and Applications (22 papers), Advanced Steganography and Watermarking Techniques (15 papers), Digital Media Forensic Detection (14 papers), Chaos-based Image/Signal Encryption (12 papers), Advanced Vision and Imaging (5 papers) and Nonlinear Waves and Solitons (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (691 citations), Computational Theory and Mathematics (336 citations), Media Technology (147 citations), Artificial Intelligence (476 citations) and Signal Processing (60 citations). Musrrat Ali has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Millie Pant, Chang Wook Ahn, Patrick Siarry, Ajith Abraham, Patrick Siarry, V. P. Singh, Manoj K. Singh, Vikram Singh, Atulya K. Nagar and Yonis Gulzar. Their work appears in journals such as Electronics, Information Sciences, Indian Journal of Science and Technology, Soft Computing and European Journal of Operational Research.

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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