Mohammad Reza Pourkarimi
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- Quantum Mechanics and Applications 25
- Quantum and electron transport phenomena 5
- Quantum many-body systems 5
- Spectroscopy and Quantum Chemical Studies 3
- Artificial Intelligence top 2%
- Quantum Information and Cryptography 34
- Quantum Computing Algorithms and Architecture 25
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- Advanced Thermodynamics and Statistical Mechanics 4
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- Quantum-Dot Cellular Automata 1
- Co-authors
- Saeed HaddadiMehrdad GhominejadSoroush HaseliM. DaoudYoussef KhedifAtta Ur RahmanMajid RahnamaAbdel‐Baset A. Mohamed
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
In The Last Decade
Mohammad Reza Pourkarimi
34 papers receiving 644 citations
Peers
Comparison fields: 5 of 22
- Atomic and Molecular Physics, and Optics 662
- Artificial Intelligence 663
- Statistical and Nonlinear Physics 118
- Computational Mathematics 2
- Computational Theory and Mathematics 7
Countries citing papers authored by Mohammad Reza Pourkarimi
This map shows the geographic impact of Mohammad Reza Pourkarimi'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 Mohammad Reza Pourkarimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Reza Pourkarimi more than expected).
Fields of papers citing papers by Mohammad Reza Pourkarimi
This network shows the impact of papers produced by Mohammad Reza Pourkarimi. 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 Mohammad Reza Pourkarimi. The network helps show where Mohammad Reza Pourkarimi may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Mohammad Reza Pourkarimi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 21 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 35 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 14 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2020 | 21 | |
| 15 | 2020 | 40 | |
| 16 | 2020 | 34 | |
| 17 | 2020 | 41 | |
| 18 | 2019 | 27 | |
| 19 | 2018 | 26 | |
| 20 | 2014 | 20 |
About Mohammad Reza Pourkarimi
Mohammad Reza Pourkarimi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 35 papers that have together received 698 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (34 papers), Quantum Computing Algorithms and Architecture (25 papers), Quantum Mechanics and Applications (25 papers), Quantum and electron transport phenomena (5 papers), Quantum many-body systems (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (662 citations), Artificial Intelligence (663 citations) and Statistical and Nonlinear Physics (118 citations). Mohammad Reza Pourkarimi has collaborated with scholars based in Iran, Italy and Morocco. Frequent co-authors include Saeed Haddadi, Mehrdad Ghominejad, Soroush Haseli, M. Daoud, Youssef Khedif, Atta Ur Rahman, Majid Rahnama, Abdel‐Baset A. Mohamed, Prasanta K. Panigrahi and Bikash K. Behera. Their work appears in journals such as Laser Physics Letters, Scientific Reports, Quantum Information Processing, Alexandria Engineering Journal and Laser Physics.
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.