Péter R. Nagy
- Atomic and Molecular Physics, and Optics top 2%
- Materials Chemistry top 10%
- Organic Chemistry top 5%
- Spectroscopy top 2%
- Inorganic Chemistry top 5%
- Co-authors
- Mihály KállayGyula SamuLászló Gyevi‐NagyDávid MesterBence HégelyJózsef CsókaP. Bernát SzabóÁgnes Szabados
- Topics
- Advanced Chemical Physics Studies (28 papers)Spectroscopy and Quantum Chemical Studies (15 papers)Machine Learning in Materials Science (8 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsPhysical and Theoretical ChemistryComputational Mathematics
- Journals
- Journal of the American Chemical SocietyNature CommunicationsThe Journal of Chemical Physics
- Partner nations
- HungaryUnited StatesLuxembourg
In The Last Decade
Péter R. Nagy
50 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Atomic and Molecular Physics, and Optics 1.1k
- Materials Chemistry 493
- Organic Chemistry 423
- Spectroscopy 394
- Inorganic Chemistry 272
Countries citing papers authored by Péter R. Nagy
This map shows the geographic impact of Péter R. 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 Péter R. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter R. Nagy more than expected).
Fields of papers citing papers by Péter R. Nagy
This network shows the impact of papers produced by Péter R. 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 Péter R. Nagy. The network helps show where Péter R. Nagy may publish in the future.
Co-authorship network of co-authors of Péter R. Nagy
This figure shows the co-authorship network connecting the top 25 collaborators of Péter R. Nagy. A scholar is included among the top collaborators of Péter R. Nagy 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 Péter R. Nagy. Péter R. Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Overview of Developments in the MRCC Program Systembreakdown → | 22 |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 28 | |
| 7 | 28 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 60 | |
| 12 | 14 | |
| 13 | 15 | |
| 14 | 19 | |
| 15 | 58 | |
| 16 | 40 | |
| 17 | 3 | |
| 18 | 13 | |
| 19 | 145 | |
| 20 | [Contributions to the problem of myelomalacia of aortic origin]. | 1 |
About Péter R. Nagy
Péter R. Nagy is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Physical and Theoretical Chemistry, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (28 papers), Spectroscopy and Quantum Chemical Studies (15 papers) and Machine Learning in Materials Science (8 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Physical and Theoretical Chemistry (268 citations) and Computational Mathematics (14 citations). Péter R. Nagy has collaborated with scholars based in Hungary, United States and Luxembourg. Frequent co-authors include Mihály Kállay, Gyula Samu, László Gyevi‐Nagy, Dávid Mester, Bence Hégely, József Csóka, P. Bernát Szabó, Ágnes Szabados, Bence Ladóczki and Imre Pápai. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical 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.