Péter Pogány
Impact in
- Inorganic Chemistry top 10%
- Radioactive element chemistry and processing
- Water Science and Technology top 10%
- Membrane Separation Technologies
Papers in
-
- Nuclear Materials and Properties 5
- Machine Learning in Materials Science 5
-
- Chemical Synthesis and Analysis 7
- Co-authors
- György Székely (5 shared papers)Attila Kovács (11 shared papers)R.J.M. Konings (6 shared papers)Stephen D. Pickett (6 shared papers)Young Moo Lee (2 shared papers)Mayamin Razali (2 shared papers)Dan Zhao (1 shared paper)Levente Cseri (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (5 papers)Chemical Science (2 papers)Journal of Medicinal Chemistry (2 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2 papers)ACS Chemical Biology (1 paper)
- Partner nations
- United KingdomHungaryGermany
In The Last Decade
Péter Pogány
29 papers receiving 710 citations
Peers
Comparison fields: 5 of 86
- Inorganic Chemistry 135
- Water Science and Technology 135
- Computational Theory and Mathematics 149
- Materials Chemistry 227
- Organic Chemistry 130
Countries citing papers authored by Péter Pogány
This map shows the geographic impact of Péter Pogány'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 Pogány with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Pogány more than expected).
Fields of papers citing papers by Péter Pogány
This network shows the impact of papers produced by Péter Pogány. 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 Pogány. The network helps show where Péter Pogány may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Pogány, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 129 | |
| 2 | 2017 | 89 | |
| 3 | 2018 | 64 | |
| 4 | 2023 | 54 | |
| 5 | 2020 | 51 | |
| 6 | 2021 | 45 | |
| 7 | 2012 | 39 | |
| 8 | 2021 | 38 | |
| 9 | 2011 | 27 | |
| 10 | 2009 | 27 | |
| 11 | 2020 | 25 | |
| 12 | 2016 | 18 | |
| 13 | 2012 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2014 | 12 | |
| 16 | 2009 | 12 | |
| 17 | 2012 | 11 | |
| 18 | 2016 | 11 | |
| 19 | 2014 | 9 | |
| 20 | 2015 | 7 |
About Péter Pogány
Péter Pogány is a scholar working on Materials Chemistry, Molecular Biology, Organic Chemistry, Computational Theory and Mathematics and Inorganic Chemistry, having authored 30 papers that have together received 727 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (7 papers), Advanced Chemical Physics Studies (6 papers), Radioactive element chemistry and processing (6 papers), Click Chemistry and Applications (5 papers), Nuclear Materials and Properties (5 papers), Machine Learning in Materials Science (5 papers) and Rare-earth and actinide compounds (3 papers). The work is most often cited by research in Inorganic Chemistry (135 citations), Water Science and Technology (135 citations), Computational Theory and Mathematics (149 citations), Materials Chemistry (227 citations) and Organic Chemistry (130 citations). Péter Pogány has collaborated with scholars based in United Kingdom, Hungary and Germany. Frequent co-authors include György Székely, Attila Kovács, R.J.M. Konings, Stephen D. Pickett, Young Moo Lee, Mayamin Razali, Dan Zhao, Levente Cseri, Gergő Ignácz and Jeong F. Kim. Their work appears in journals such as Journal of Chemical Information and Modeling, Chemical Science, Journal of Medicinal Chemistry, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and ACS Chemical Biology.
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.