Simon Olsson

3.3k citations

51 papers · 1.7k indexed · 2 hit papers · h-index 21

Impact in

Computational Theory and Mathematics top 2%
- Computational Drug Discovery Methods
Health Informatics top 5%

Papers in ⓘ

Health Informatics 1
Computational Theory and Mathematics 8
- Computational Drug Discovery Methods 7

Co-authors: Frank Noé (14 shared papers)Hao Wu (2 shared papers)Jonas Köhler (1 shared paper)Cecilia Clementi (4 shared papers)Jiang Wang (3 shared papers)Nicholas E. Charron (3 shared papers)Gianni De Fabritiis (2 shared papers)Adrià Pérez (2 shared papers)
Journals: Journal of Chemical Theory and Computation (4 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (2 papers)Machine Learning Science and Technology (2 papers)Thin Solid Films (2 papers)
Partner nations: Sweden Germany United States

In The Last Decade

Simon Olsson

47 papers receiving 1.7k citations

Hit Papers

align trajectories log scale

Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning 2019 · 394 citations

Peers

Countries citing papers authored by Simon Olsson

Since Specialization

Citations

This map shows the geographic impact of Simon Olsson'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 Olsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Olsson more than expected).

Fields of papers citing papers by Simon Olsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Olsson. 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 Olsson. The network helps show where Simon Olsson may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Olsson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Olsson Line = papers co-authored together Simon Olsson links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning Science ·Frank Noé, Simon Olsson, Jonas Köhler, Hao Wu Hit paper breakdown →	2019	394
2	Machine Learning of Coarse-Grained Molecular Dynamics Force Fields ACS Central Science ·Jiang Wang, Simon Olsson, Christoph Wehmeyer, Adrià Pérez, Nicholas E. Charron, Gianni De Fabritiis, Frank Noé, Cecilia Clementi Hit paper breakdown →	2019	343
3	Coarse graining molecular dynamics with graph neural networks Refubium (Universitätsbibliothek der Freien Universität Berlin) ·Brooke E. Husic, Nicholas E. Charron, Dominik Lemm, Jiang Wang, Adrià Pérez, Maciej Majewski, Andreas Krämer, Yaoyi Chen, Simon Olsson, Gianni De Fabritiis, Frank Noé, Cecilia Clementi	2020	121
4	Molecular mechanism of inhibiting the SARS-CoV-2 cell entry facilitator TMPRSS2 with camostat and nafamostat Chemical Science ·Tim Hempel, Lluı́s Raich, Simon Olsson, Nurit P. Azouz, Andrea M. Klingler, Markus Hoffmann, Stefan Pöhlmann, Marc E. Rothenberg, Frank Noé	2020	76
5	Combining experimental and simulation data of molecular processes via augmented Markov models Proceedings of the National Academy of Sciences ·Simon Olsson, Hao Wu, Fabian Paul, Cecilia Clementi, Frank Noé	2017	68
6	De Novo Drug Design Using Reinforcement Learning with Graph-Based Deep Generative Models Journal of Chemical Information and Modeling ·Sara Romeo Atance, Juan Viguera Diez, Ola Engkvist, Simon Olsson, Rocío Mercado	2022	63
7	Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population BMC Musculoskeletal Disorders ·Simon Olsson, Ehsan Akbarian, Anna Lind, Ali Sharif Razavian, Max Gordon	2021	54
8	Bayesian inference of protein ensembles from SAXS data Physical Chemistry Chemical Physics ·Lubomir D. Antonov, Simon Olsson, Wouter Boomsma, Thomas Hamelryck	2015	46
9	Inference of Structure Ensembles of Flexible Biomolecules from Sparse, Averaged Data PLoS ONE ·Simon Olsson, Jes Frellsen, Wouter Boomsma, Kanti V. Mardia, Thomas Hamelryck	2013	42
10	Multi-body effects in a coarse-grained protein force field The Journal of Chemical Physics ·Jiang Wang, Nicholas E. Charron, Brooke E. Husic, Simon Olsson, Frank Noé, Cecilia Clementi	2021	41
11	Introduction to Markov state modeling with the PyEMMA software [Article v1.0] Christoph Wehmeyer, Martin K. Scherer, Tim Hempel, Brooke E. Husic, Simon Olsson, Frank Noé	2018	40
12	The Exact NOE as an Alternative in Ensemble Structure Determination Biophysical Journal ·Beat Vögeli, Simon Olsson, Peter Güntert, Roland Riek	2016	33
13	PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure Journal of Computational Chemistry ·Wouter Boomsma, Jes Frellsen, Tim Harder, Sandro Bottaro, Kristoffer E. Johansson, Pengfei Tian, Kasper Stovgaard, Christian Andreetta, Simon Olsson, Jan Brink Valentin, Lubomir D. Antonov, Anders S. Christensen, Mikael Borg, Jan H. Jensen, Kresten Lindorff‐Larsen, Jesper Ferkinghoff‐Borg, Thomas Hamelryck	2013	33
14	Probabilistic Determination of Native State Ensembles of Proteins Journal of Chemical Theory and Computation ·Simon Olsson, Beat Vögeli, Andrea Cavalli, Wouter Boomsma, Jesper Ferkinghoff‐Borg, Kresten Lindorff‐Larsen, Thomas Hamelryck	2014	32
15	Artificial intelligence for the classification of fractures around the knee in adults according to the 2018 AO/OTA classification system PLoS ONE ·Anna Lind, Ehsan Akbarian, Simon Olsson, Hans Nåsell, Olof Sköldenberg, Ali Sharif Razavian, Max Gordon	2021	28
16	Dynamic graphical models of molecular kinetics Proceedings of the National Academy of Sciences ·Simon Olsson, Frank Noé	2019	27
17	Mechanistic Models of Chemical Exchange Induced Relaxation in Protein NMR Journal of the American Chemical Society ·Simon Olsson, Frank Noé	2016	24
18	Protein Allostery at Atomic Resolution Angewandte Chemie International Edition ·Dean Strotz, Julien Orts, Harindranath Kadavath, Michael Friedmann, Dhiman Ghosh, Simon Olsson, N. Celestine, Aditya Pokharna, Peter Güntert, Beat Vögeli, Roland Riek	2020	23
19	The Exact Nuclear Overhauser Enhancement: Recent Advances Molecules ·Parker J. Nichols, Alexandra Born, Morkos A. Henen, Dean Strotz, Julien Orts, Simon Olsson, Peter Güntert, Celestine Chi, Beat Vögeli	2017	21
20	Discovery of a hidden transient state in all bromodomain families Proceedings of the National Academy of Sciences ·Lluı́s Raich, Katharina Meier, Judith Günther, Clara D. Christ, Frank Noé, Simon Olsson	2021	20

About Simon Olsson

Simon Olsson is a scholar working on Health Informatics, Computational Theory and Mathematics, Molecular Biology, Spectroscopy and Materials Chemistry, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (28 papers), Computational Drug Discovery Methods (7 papers), Machine Learning in Materials Science (7 papers), Enzyme Structure and Function (7 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Signaling Pathways in Disease (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (337 citations), Health Informatics (26 citations), Materials Chemistry (809 citations), Molecular Biology (1.0k citations) and Spectroscopy (218 citations). Simon Olsson has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Frank Noé, Hao Wu, Jonas Köhler, Cecilia Clementi, Jiang Wang, Nicholas E. Charron, Gianni De Fabritiis, Adrià Pérez, Christoph Wehmeyer and Thomas Hamelryck. Their work appears in journals such as Journal of Chemical Theory and Computation, Proceedings of the National Academy of Sciences, PLoS ONE, Machine Learning Science and Technology and Thin Solid Films.

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.

Explore authors with similar magnitude of impact