Simon Johansson
Impact in
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- Computational Drug Discovery Methods
- Materials Chemistry top 10%
- Machine Learning in Materials Science
Papers in
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- Computational Drug Discovery Methods 8
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- Machine Learning in Materials Science 6
- Co-authors
- Ola Engkvist (8 shared papers)Esben Jannik Bjerrum (5 shared papers)Hongming Chen (4 shared papers)Josep Arús‐Pous (3 shared papers)Oleksii Prykhodko (3 shared papers)Jean‐Louis Reymond (3 shared papers)Panagiotis-Christos Kotsias (1 shared paper)Christian Tyrchan (3 shared papers)
- Journals
- Journal of Cheminformatics (2 papers)Drug Discovery Today Technologies (1 paper)The International Journal of Acoustics and Vibration (1 paper)Applied Sciences (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- SwedenSwitzerlandUnited Kingdom
In The Last Decade
Simon Johansson
18 papers receiving 785 citations
Peers
Comparison fields: 5 of 114
- Computational Theory and Mathematics 569
- Materials Chemistry 453
- Molecular Biology 368
- Biophysics 25
- Environmental Chemistry 29
Countries citing papers authored by Simon Johansson
This map shows the geographic impact of Simon Johansson'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 Simon Johansson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Johansson more than expected).
Fields of papers citing papers by Simon Johansson
This network shows the impact of papers produced by Simon Johansson. 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 Simon Johansson. The network helps show where Simon Johansson may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Johansson, 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 | 2019 | 294 | |
| 2 | 2019 | 259 | |
| 3 | 2020 | 63 | |
| 4 | 2020 | 60 | |
| 5 | 2019 | 40 | |
| 6 | 2020 | 31 | |
| 7 | 2018 | 22 | |
| 8 | 1999 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 7 | |
| 11 | 2024 | 4 | |
| 12 | 2019 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 1993 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 |
About Simon Johansson
Simon Johansson is a scholar working on Computational Theory and Mathematics, Materials Chemistry, Artificial Intelligence, Environmental Engineering and Discrete Mathematics and Combinatorics, having authored 18 papers that have together received 818 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (6 papers), Protein Structure and Dynamics (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Machine Learning and Algorithms (2 papers), Evolutionary Algorithms and Applications (1 paper), Modeling, Simulation, and Optimization (1 paper) and Cephalopods and Marine Biology (1 paper). The work is most often cited by research in Computational Theory and Mathematics (569 citations), Materials Chemistry (453 citations), Molecular Biology (368 citations), Biophysics (25 citations) and Environmental Chemistry (29 citations). Simon Johansson has collaborated with scholars based in Sweden, Switzerland and United Kingdom. Frequent co-authors include Ola Engkvist, Esben Jannik Bjerrum, Hongming Chen, Josep Arús‐Pous, Oleksii Prykhodko, Jean‐Louis Reymond, Panagiotis-Christos Kotsias, Christian Tyrchan, Amol Thakkar and Elizaveta Petrovna Semеnova. Their work appears in journals such as Journal of Cheminformatics, Drug Discovery Today Technologies, The International Journal of Acoustics and Vibration, Applied Sciences and Frontiers in Pharmacology.
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.