Dan Mendels
Impact in
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- Machine Learning in Materials Science
- Advanced Thermoelectric Materials and Devices
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- Conducting polymers and applications
Papers in
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- Theoretical and Computational Physics 3
- Co-authors
- Michele ParrinelloGiovanniMaria PicciniNir TesslerHaiyang NiuYueyu ZhangZ. Faidon BrotzakisYi YangEmilia Sicilia
- Journals
- The Journal of Physical Chemistry Letters (3 papers)The Journal of Physical Chemistry C (3 papers)Journal of Chemical Theory and Computation (2 papers)Scientific Reports (1 paper)Science Advances (1 paper)
- Partner nations
- SwitzerlandIsraelUnited States
In The Last Decade
Dan Mendels
16 papers receiving 417 citations
Peers
Comparison fields: 5 of 56
- Materials Chemistry 199
- Polymers and Plastics 53
- Atomic and Molecular Physics, and Optics 107
- Computational Theory and Mathematics 52
- Condensed Matter Physics 36
Countries citing papers authored by Dan Mendels
This map shows the geographic impact of Dan Mendels'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 Dan Mendels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Mendels more than expected).
Fields of papers citing papers by Dan Mendels
This network shows the impact of papers produced by Dan Mendels. 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 Dan Mendels. The network helps show where Dan Mendels may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Dan Mendels, 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 | 2024 | 5 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 7 | |
| 5 | 2019 | 22 | |
| 6 | 2019 | 44 | |
| 7 | 2018 | 52 | |
| 8 | 2018 | 28 | |
| 9 | 2018 | 129 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 13 | |
| 12 | 2015 | 8 | |
| 13 | 2014 | 4 | |
| 14 | 2014 | 38 | |
| 15 | 2013 | 38 | |
| 16 | 2013 | 12 |
About Dan Mendels
Dan Mendels is a scholar working on Filtration and Separation, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Polymers and Plastics and Materials Chemistry, having authored 16 papers that have together received 420 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (5 papers), Protein Structure and Dynamics (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Machine Learning in Materials Science (3 papers), Conducting polymers and applications (3 papers), Advanced Thermoelectric Materials and Devices (3 papers), Theoretical and Computational Physics (3 papers) and nanoparticles nucleation surface interactions (2 papers). The work is most often cited by research in Materials Chemistry (199 citations), Polymers and Plastics (53 citations), Atomic and Molecular Physics, and Optics (107 citations), Computational Theory and Mathematics (52 citations) and Condensed Matter Physics (36 citations). Dan Mendels has collaborated with scholars based in Switzerland, Israel and United States. Frequent co-authors include Michele Parrinello, GiovanniMaria Piccini, Nir Tessler, Haiyang Niu, Yueyu Zhang, Z. Faidon Brotzakis, Yi Yang, Michele Parrinello, Emilia Sicilia and Valerio Rizzi. Their work appears in journals such as The Journal of Physical Chemistry Letters, The Journal of Physical Chemistry C, Journal of Chemical Theory and Computation, Scientific Reports and Science Advances.
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.