Mazhar Ali

3.0k total citations · 1 hit paper
77 papers, 2.2k citations indexed

About

Mazhar Ali is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Mazhar Ali has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 27 papers in Atomic and Molecular Physics, and Optics and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Mazhar Ali's work include Quantum Computing Algorithms and Architecture (29 papers), Quantum Information and Cryptography (29 papers) and Quantum Mechanics and Applications (22 papers). Mazhar Ali is often cited by papers focused on Quantum Computing Algorithms and Architecture (29 papers), Quantum Information and Cryptography (29 papers) and Quantum Mechanics and Applications (22 papers). Mazhar Ali collaborates with scholars based in Canada, Pakistan and China. Mazhar Ali's co-authors include A. Rau, G. Alber, Godfrey Gumbs, Faouzi Kamoun, M. Andrecut, Alexey Potapov, Miroslav Kolář, Franco Nori, Zheng‐Hua Tan and Nawshad Muhammad and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Scientific Reports.

In The Last Decade

Mazhar Ali

75 papers receiving 2.1k citations

Hit Papers

Quantum discord for two-qubitXstates 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mazhar Ali Canada 19 1.1k 1.1k 635 321 218 77 2.2k
Le Luo China 18 939 0.8× 1.9k 1.7× 155 0.2× 367 1.1× 44 0.2× 87 2.4k
Siyuan Han United States 37 2.9k 2.6× 3.6k 3.3× 188 0.3× 382 1.2× 244 1.1× 136 4.6k
Song Liu China 19 911 0.8× 905 0.8× 229 0.4× 113 0.4× 26 0.1× 72 1.6k
Shu Tanaka Japan 16 545 0.5× 235 0.2× 166 0.3× 79 0.2× 63 0.3× 77 970
Troels F. Rønnow Switzerland 10 976 0.9× 518 0.5× 122 0.2× 68 0.2× 44 0.2× 13 1.2k
Nicola Pancotti Germany 6 2.1k 1.9× 734 0.7× 161 0.3× 92 0.3× 73 0.3× 8 2.6k
K. W. Chan Australia 18 825 0.7× 1.2k 1.1× 178 0.3× 22 0.1× 87 0.4× 39 2.2k
Qin Wang China 26 1.7k 1.5× 1.4k 1.3× 152 0.2× 80 0.2× 66 0.3× 177 2.4k
Makoto Naruse Japan 25 730 0.7× 537 0.5× 199 0.3× 142 0.4× 162 0.7× 210 2.3k
M. M. Sufyan Beg India 20 427 0.4× 166 0.2× 180 0.3× 60 0.2× 173 0.8× 107 1.5k

Countries citing papers authored by Mazhar Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mazhar Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mazhar Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Mazhar Ali. A scholar is included among the top collaborators of Mazhar Ali based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mazhar Ali. Mazhar Ali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gao, Haining, et al.. (2025). Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture. Scientific Reports. 15(1). 3953–3953. 2 indexed citations
2.
Ansari, Abdullah A. & Mazhar Ali. (2024). Effects of Modified Potential and Quantum Correction in the Generalized Perturbed Interacting CR3BP with Variable Mass. Solar System Research. 58(6). 745–758.
3.
Ali, Mazhar. (2023). Genuine entanglement under squeezed generalized amplitude damping channels with memory. Chinese Physics B. 33(2). 20307–20307. 2 indexed citations
4.
Khan, Zia Ul Haq, Noor S. Shah, Arif Ullah Khan, et al.. (2019). Greener synthesis of zinc oxide nanoparticles using Trianthema portulacastrum extract and evaluation of its photocatalytic and biological applications. Journal of Photochemistry and Photobiology B Biology. 192. 147–157. 156 indexed citations
5.
Ali, Mazhar. (2015). Decoherence of genuine multipartite entanglement for local non-Markovian–Lorentzian reservoirs. Chinese Physics B. 24(12). 120303–120303. 4 indexed citations
6.
Ali, Mazhar. (2010). Quantum discord for a two-parameter class of states in 2⊗dquantum systems. Journal of Physics A Mathematical and Theoretical. 43(49). 495303–495303. 28 indexed citations
7.
Hamieh, S., et al.. (2003). Extracting classical correlations from a bipartite quantum system. Physical Review A. 67(1). 13 indexed citations
8.
Potapov, Alexey & Mazhar Ali. (2002). Neural networks for estimating intrinsic dimension. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(4). 46212–46212. 7 indexed citations
9.
Andrecut, M. & Mazhar Ali. (2002). A QUANTUM PERCEPTRON. International Journal of Modern Physics B. 16(4). 639–645. 3 indexed citations
10.
Andrecut, M. & Mazhar Ali. (2001). Qlearning in the minority game. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(6). 67103–67103. 18 indexed citations
11.
Potapov, A. B. & Mazhar Ali. (2001). Nonlinear dynamics and chaos in information processing neural networks. 7 indexed citations
12.
Potapov, Alexey & Mazhar Ali. (2001). Chaotic neural control. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(4). 46215–46215. 4 indexed citations
13.
Andrecut, M. & Mazhar Ali. (2001). Critical transition in the constrained traveling salesman problem. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(4). 47103–47103. 2 indexed citations
14.
Andrecut, M. & Mazhar Ali. (2001). ON THE MAP NAVIGATION USING THE LAPLACE EQUATION. International Journal of Modern Physics C. 12(3). 309–317. 1 indexed citations
15.
Potapov, A. B. & Mazhar Ali. (2000). LEARNING, EXPLORATION AND CHAOTIC POLICIES. International Journal of Modern Physics C. 11(7). 1455–1464. 5 indexed citations
16.
Andrecut, M. & Mazhar Ali. (2000). SELF-ADAPTING REACTIVE AUTONOMOUS AGENTS. International Journal of Modern Physics B. 14(18). 1915–1926. 1 indexed citations
17.
Tan, Zheng‐Hua & Mazhar Ali. (1998). Mixed states in a neural network model. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 57(4). R3739–R3741. 3 indexed citations
18.
Ali, Mazhar & Faouzi Kamoun. (1993). Neural networks for shortest path computation and routing in computer networks. IEEE Transactions on Neural Networks. 4(6). 941–954. 191 indexed citations
19.
Hayes, J.F., et al.. (1992). Frame synchronization performance of SONET signals. Computer Networks and ISDN Systems. 25(2). 183–190. 1 indexed citations
20.
Gumbs, Godfrey & Mazhar Ali. (1989). Electronic properties of the tight-binding Fibonacci Hamiltonian. Journal of Physics A Mathematical and General. 22(8). 951–970. 50 indexed citations

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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