Lena Simine
Impact in
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- Quantum and electron transport phenomena
- Spectroscopy and Quantum Chemical Studies
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- Machine Learning in Materials Science
Papers in
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- Machine Learning in Materials Science 6
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- Spectroscopy and Quantum Chemical Studies 5
- Co-authors
- Dvira Segal (2 shared papers)Peter J. Rossky (4 shared papers)Oren Tal (1 shared paper)Abraham Nitzan (1 shared paper)Thomas C. Allen (1 shared paper)Michael Kilgour (7 shared papers)Takuji Adachi (1 shared paper)Johanna Brazard (1 shared paper)
- Journals
- The Journal of Physical Chemistry Letters (4 papers)The Journal of Chemical Physics (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Chemical Information and Modeling (2 papers)Journal of Computational Physics (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Lena Simine
22 papers receiving 434 citations
Peers
Comparison fields: 5 of 66
- Atomic and Molecular Physics, and Optics 141
- Materials Chemistry 170
- Polymers and Plastics 46
- Electrical and Electronic Engineering 181
- Statistical and Nonlinear Physics 34
Countries citing papers authored by Lena Simine
This map shows the geographic impact of Lena Simine'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 Lena Simine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lena Simine more than expected).
Fields of papers citing papers by Lena Simine
This network shows the impact of papers produced by Lena Simine. 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 Lena Simine. The network helps show where Lena Simine may publish in the future.
Co-authors
The 25 scholars most cited alongside Lena Simine, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 77 | |
| 2 | 2012 | 56 | |
| 3 | 2022 | 47 | |
| 4 | 2018 | 45 | |
| 5 | 2020 | 35 | |
| 6 | 2017 | 34 | |
| 7 | 2024 | 33 | |
| 8 | 2024 | 17 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2024 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2021 | 2 |
About Lena Simine
Lena Simine is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Molecular Biology, Electrical and Electronic Engineering and Condensed Matter Physics, having authored 23 papers that have together received 438 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Molecular Junctions and Nanostructures (4 papers), Organic Electronics and Photovoltaics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (141 citations), Materials Chemistry (170 citations), Polymers and Plastics (46 citations), Electrical and Electronic Engineering (181 citations) and Statistical and Nonlinear Physics (34 citations). Lena Simine has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Dvira Segal, Peter J. Rossky, Oren Tal, Abraham Nitzan, Thomas C. Allen, Michael Kilgour, Takuji Adachi, Johanna Brazard, Volker L. Deringer and Andy S. Anker. Their work appears in journals such as The Journal of Physical Chemistry Letters, The Journal of Chemical Physics, Proceedings of the National Academy of Sciences, Journal of Chemical Information and Modeling and Journal of Computational 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.