Akhtar Rasool

491 citations
35 papers · 282 · h-index 9

Impact in

    • Quantum Computing Algorithms and Architecture
    • Anomaly Detection Techniques and Applications
    • Algorithms and Data Compression
    • Quantum Information and Cryptography
    • AI in Service Interactions

Papers in

    • Algorithms and Data Compression 9
    • Quantum Computing Algorithms and Architecture 8
    • Quantum Information and Cryptography 4
    • Bayesian Methods and Mixture Models 3
    • Data Mining Algorithms and Applications 3

Akhtar Rasool

33 papers receiving 265 citations

Peers

Akhtar Rasool
Comparison fields: 5 of 69
  • Artificial Intelligence 139
  • Health Informatics 4
  • Hardware and Architecture 18
  • Control and Systems Engineering 58
  • Signal Processing 21
Replace Gregg Rabideau with:
Gregg Rabideau United States
Sandeep Chakravorty India
Jian Shu China
Qinghua Li United States
Xining Li China
Zhou Hong China
Nelson Matthys Belgium
Hassan Youness Egypt
Akhtar Rasool relative to Gregg Rabideau United States Gregg Rabideau's profile →
Citations per field
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Citations per year

Countries citing papers authored by Akhtar Rasool

Since Specialization
Citations

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

Fields of papers citing papers by Akhtar Rasool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Akhtar Rasool, 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 Akhtar Rasool Line = papers co-authored together Akhtar Rasool links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202262
2 202226
3 202026
4 202124
5 201214
6 202412
7 201911
8 20189
9 20208
10 20208
11 20237
12 20217
13 20197
14 20207
15 20206
16 20215
17 20215
18 20215
19 20224
20 20223

About Akhtar Rasool

Akhtar Rasool is a scholar working on Artificial Intelligence, Information Systems, Hardware and Architecture, Molecular Biology and Computational Theory and Mathematics, having authored 35 papers that have together received 282 indexed citations. Recurring topics across this work include Algorithms and Data Compression (9 papers), Quantum Computing Algorithms and Architecture (8 papers), Network Packet Processing and Optimization (6 papers), Quantum Information and Cryptography (4 papers), Statistical Methods and Inference (3 papers), Bayesian Methods and Mixture Models (3 papers), Gene expression and cancer classification (3 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (139 citations), Health Informatics (4 citations), Hardware and Architecture (18 citations), Control and Systems Engineering (58 citations) and Signal Processing (21 citations). Akhtar Rasool has collaborated with scholars based in India. Frequent co-authors include Rajesh Wadhvani and Nilay Khare. Their work appears in journals such as Expert Systems with Applications, Advanced Theory and Simulations, Scientific Reports, PeerJ Computer Science and ETRI Journal.

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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