Adi Makmal
Impact in
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- Advanced Chemical Physics Studies
- Spectroscopy and Quantum Chemical Studies
Papers in
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- Quantum Computing Algorithms and Architecture 8
- Quantum Information and Cryptography 6
- Evolutionary Algorithms and Applications 2
- Stochastic Gradient Optimization Techniques 2
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- Advanced Chemical Physics Studies 5
- Spectroscopy and Quantum Chemical Studies 2
- Semiconductor Quantum Structures and Devices 1
- Co-authors
- Leeor Kronik (6 shared papers)James R. Chelikowsky (2 shared papers)Xiangyang Huang (2 shared papers)Hans J. Briegel (7 shared papers)Vedran Dunjko (4 shared papers)Stephan Kümmel (4 shared papers)M. M. G. Alemany (1 shared paper)Manish Jain (1 shared paper)
In The Last Decade
Adi Makmal
18 papers receiving 620 citations
Peers
Comparison fields: 5 of 65
- Atomic and Molecular Physics, and Optics 319
- Computational Mathematics 5
- Artificial Intelligence 189
- Materials Chemistry 205
- Condensed Matter Physics 50
Countries citing papers authored by Adi Makmal
This map shows the geographic impact of Adi Makmal'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 Adi Makmal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adi Makmal more than expected).
Fields of papers citing papers by Adi Makmal
This network shows the impact of papers produced by Adi Makmal. 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 Adi Makmal. The network helps show where Adi Makmal may publish in the future.
Co-authors
The 22 scholars most cited alongside Adi Makmal, 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 | 2006 | 213 | |
| 2 | 2014 | 121 | |
| 3 | 2005 | 96 | |
| 4 | 2009 | 50 | |
| 5 | 2011 | 36 | |
| 6 | 2017 | 25 | |
| 7 | 2016 | 23 | |
| 8 | 2009 | 15 | |
| 9 | 2018 | 13 | |
| 10 | 2014 | 12 | |
| 11 | 2014 | 11 | |
| 12 | 2024 | 4 | |
| 13 | 2011 | 4 | |
| 14 | 2016 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2014 | 2 | |
| 18 | 2019 | 1 | |
| 19 | 2025 | 0 | |
| 20 | Orbital-Dependent-Functionals within Density Functional Theory: Methodology and Applications | 2010 | 0 |
About Adi Makmal
Adi Makmal is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Information Systems, Organic Chemistry and Computational Theory and Mathematics, having authored 20 papers that have together received 633 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (6 papers), Advanced Chemical Physics Studies (5 papers), Evolutionary Algorithms and Applications (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Semiconductor Quantum Structures and Devices (1 paper) and Magnetism in coordination complexes (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (319 citations), Computational Mathematics (5 citations), Artificial Intelligence (189 citations), Materials Chemistry (205 citations) and Condensed Matter Physics (50 citations). Adi Makmal has collaborated with scholars based in Israel, Austria and Germany. Frequent co-authors include Leeor Kronik, James R. Chelikowsky, Xiangyang Huang, Hans J. Briegel, Vedran Dunjko, Stephan Kümmel, M. M. G. Alemany, Manish Jain, Yousef Saad and Murilo L. Tiago. Their work appears in journals such as Physical Review A, Scientific Reports, Journal of Chemical Theory and Computation, IEEE Access and Quantum Science and Technology.
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.