László Gyevi‐Nagy
Impact in
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- Advanced Chemical Physics Studies
- Spectroscopy and Quantum Chemical Studies
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- Crystallography and molecular interactions
Papers in
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- Advanced Chemical Physics Studies 9
- Spectroscopy and Quantum Chemical Studies 2
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- Catalytic Processes in Materials Science 4
- Machine Learning in Materials Science 3
- Co-authors
- Mihály Kállay (10 shared papers)Péter R. Nagy (9 shared papers)Bence Ladóczki (3 shared papers)József Csontos (2 shared papers)Klára Petrov (2 shared papers)Gyula Samu (2 shared papers)József Csóka (2 shared papers)P. Bernát Szabó (2 shared papers)
In The Last Decade
László Gyevi‐Nagy
13 papers receiving 624 citations
László Gyevi‐Nagy's Hit Papers
Peers
Comparison fields: 5 of 59
- Atomic and Molecular Physics, and Optics 410
- Physical and Theoretical Chemistry 103
- Spectroscopy 154
- Inorganic Chemistry 72
- Atmospheric Science 76
Countries citing papers authored by László Gyevi‐Nagy
This map shows the geographic impact of László Gyevi‐Nagy'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 László Gyevi‐Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Gyevi‐Nagy more than expected).
Fields of papers citing papers by László Gyevi‐Nagy
This network shows the impact of papers produced by László Gyevi‐Nagy. 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 László Gyevi‐Nagy. The network helps show where László Gyevi‐Nagy may publish in the future.
Co-authors
The 21 scholars most cited alongside László Gyevi‐Nagy, 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 | The MRCC program system: Accurate quantum chemistry from water to proteins Hit paper breakdown → | 2020 | 366 |
| 2 | 2021 | 60 | |
| 3 | 2019 | 58 | |
| 4 | 2021 | 36 | |
| 5 | 2022 | 31 | |
| 6 | Overview of Developments in the MRCC Program System Hit paper breakdown → | 2025 | 22 |
| 7 | 2022 | 18 | |
| 8 | 2021 | 15 | |
| 9 | 2017 | 12 | |
| 10 | 2016 | 7 | |
| 11 | 2025 | 6 | |
| 12 | 2017 | 2 | |
| 13 | 2018 | 2 |
About László Gyevi‐Nagy
László Gyevi‐Nagy is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Organic Chemistry, Hardware and Architecture and Physical and Theoretical Chemistry, having authored 13 papers that have together received 635 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (9 papers), Catalytic Processes in Materials Science (4 papers), Chemical Thermodynamics and Molecular Structure (3 papers), Machine Learning in Materials Science (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Parallel Computing and Optimization Techniques (2 papers), CO2 Sequestration and Geologic Interactions (1 paper) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (410 citations), Physical and Theoretical Chemistry (103 citations), Spectroscopy (154 citations), Inorganic Chemistry (72 citations) and Atmospheric Science (76 citations). László Gyevi‐Nagy has collaborated with scholars based in Hungary and Denmark. Frequent co-authors include Mihály Kállay, Péter R. Nagy, Bence Ladóczki, József Csontos, Klára Petrov, Gyula Samu, József Csóka, P. Bernát Szabó, Dávid Mester and Bence Hégely. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Chemical Physics, Molecular Physics, Computer Physics Communications and Journal of Computational Chemistry.
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.