Simon Olsson

3.3k total citations · 2 hit papers
51 papers, 1.7k citations indexed

About

Simon Olsson is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Simon Olsson has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 16 papers in Materials Chemistry and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Simon Olsson's work include Protein Structure and Dynamics (28 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Materials Science (7 papers). Simon Olsson is often cited by papers focused on Protein Structure and Dynamics (28 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Materials Science (7 papers). Simon Olsson collaborates with scholars based in Sweden, Germany and United States. Simon Olsson's co-authors include Frank Noé, Hao Wu, Jonas Köhler, Cecilia Clementi, Nicholas E. Charron, Jiang Wang, Gianni De Fabritiis, Adrià Pérez, Christoph Wehmeyer and Wouter Boomsma and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Simon Olsson

47 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning

2019 394 citations Frank Noé, Simon Olsson et al. Science profile →
Machine Learning of Coarse-Grained Molecular Dynamics Force Fields

2019 343 citations Jiang Wang, Simon Olsson et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Simon Olsson Sweden	21	1.0k	809	337	218	184	51	1.7k
Christoph Wehmeyer Germany	12	1.3k 1.3×	646 0.8×	313 0.9×	219 1.0×	203 1.1×	15	1.9k
Brooke E. Husic United States	17	1.4k 1.4×	859 1.1×	583 1.7×	191 0.9×	214 1.2×	26	2.0k
Jan-Hendrik Prinz Germany	13	1.8k 1.7×	541 0.7×	265 0.8×	390 1.8×	358 1.9×	17	2.2k
Bettina G. Keller Germany	22	2.0k 1.9×	507 0.6×	259 0.8×	366 1.7×	426 2.3×	63	2.6k
Saeed Izadi United States	19	1.2k 1.2×	380 0.5×	187 0.6×	176 0.8×	365 2.0×	37	2.0k
David J. Hardy United States	17	843 0.8×	358 0.4×	158 0.5×	172 0.8×	370 2.0×	30	1.8k
Garrett B. Goh United States	15	654 0.6×	403 0.5×	363 1.1×	127 0.6×	156 0.8×	18	1.2k
Alex Dickson United States	22	990 1.0×	270 0.3×	326 1.0×	143 0.7×	178 1.0×	60	1.3k
Sichun Yang United States	25	1.4k 1.4×	611 0.8×	146 0.4×	269 1.2×	129 0.7×	58	1.8k

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-authorship network of co-authors of Simon Olsson

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Olsson. A scholar is included among the top collaborators of Simon Olsson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simon Olsson. Simon Olsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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

20 of 20 papers shown

Ljungars, Anne, et al.. (2026). Accelerating multi-objective V _H H discovery via integrated high-throughput selection and AlphaFold3-guided structure prediction. bioRxiv (Cold Spring Harbor Laboratory). 1 indexed citations

Olsson, Simon, et al.. (2025). Characterizing Structural and Kinetic Ensembles of Intrinsically Disordered Proteins Using Writhe. Journal of Chemical Theory and Computation. 21(23). 12289–12303.

Engkvist, Ola, et al.. (2024). Generation of conformational ensembles of small molecules via surrogate model-assisted molecular dynamics. Machine Learning Science and Technology. 5(2). 25010–25010. 5 indexed citations

Winther, Ole, et al.. (2023). Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations

Lehmann, Martin, et al.. (2023). A design strategy to generate a SARS‐CoV‐2 RBD vaccine that abrogates ACE2 binding and improves neutralizing antibody responses. European Journal of Immunology. 53(10). e2350408–e2350408. 2 indexed citations

Olsson, Simon, et al.. (2023). Rescuing off-equilibrium simulation data through dynamic experimental data with dynAMMo. Machine Learning Science and Technology. 4(4). 45050–45050. 3 indexed citations

Mazur, Artur, et al.. (2022). Motional clustering in supra- τ c conformational exchange influences NOE cross-relaxation rate. Journal of Magnetic Resonance. 338. 107196–107196. 2 indexed citations

Raich, Lluı́s, Katharina Meier, Judith Günther, et al.. (2021). Discovery of a hidden transient state in all bromodomain families. Proceedings of the National Academy of Sciences. 118(4). 20 indexed citations

Wang, Jiang, Nicholas E. Charron, Brooke E. Husic, et al.. (2021). Multi-body effects in a coarse-grained protein force field. The Journal of Chemical Physics. 154(16). 164113–164113. 41 indexed citations

10.

Strotz, Dean, Julien Orts, Harindranath Kadavath, et al.. (2020). Protein Allostery at Atomic Resolution. Angewandte Chemie. 132(49). 22316–22323. 1 indexed citations

11.

Strotz, Dean, Julien Orts, Harindranath Kadavath, et al.. (2020). Protein Allostery at Atomic Resolution. Angewandte Chemie International Edition. 59(49). 22132–22139. 23 indexed citations

12.

Olsson, Simon & Frank Noé. (2019). Dynamic graphical models of molecular kinetics. Proceedings of the National Academy of Sciences. 116(30). 15001–15006. 27 indexed citations

13.

Noé, Frank, Simon Olsson, Jonas Köhler, & Hao Wu. (2019). Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning. Science. 365(6457). 394 indexed citations breakdown →

14.

Wehmeyer, Christoph, Martin K. Scherer, Tim Hempel, et al.. (2018). Introduction to Markov state modeling with the PyEMMA software [Article v1.0]. 1(1). 5965–5965. 40 indexed citations

15.

Gerber, Susanne, Simon Olsson, Frank Noé, & Illia Horenko. (2018). A scalable approach to the computation of invariant measures for high-dimensional Markovian systems. Scientific Reports. 8(1). 1796–1796. 8 indexed citations

16.

Olsson, Simon, Hao Wu, Fabian Paul, Cecilia Clementi, & Frank Noé. (2017). Combining experimental and simulation data of molecular processes via augmented Markov models. Proceedings of the National Academy of Sciences. 114(31). 8265–8270. 68 indexed citations

17.

Olsson, Simon, et al.. (2015). Bayesian inference of protein ensembles from SAXS data. Physical Chemistry Chemical Physics. 18(8). 5832–5838. 46 indexed citations

18.

Olsson, Simon, Jes Frellsen, Wouter Boomsma, Kanti V. Mardia, & Thomas Hamelryck. (2013). Inference of Structure Ensembles of Flexible Biomolecules from Sparse, Averaged Data. PLoS ONE. 8(11). e79439–e79439. 42 indexed citations

19.

Olsson, Simon, Fredrik Eriksson, Jens Birch, & Lars Hultman. (2012). Formation of α-approximant and quasicrystalline Al–Cu–Fe thin films. Thin Solid Films. 526. 74–80. 8 indexed citations

20.

Olsson, Simon, Wouter Boomsma, Jes Frellsen, et al.. (2011). Generative probabilistic models extend the scope of inferential structure determination. Journal of Magnetic Resonance. 213(1). 182–186. 14 indexed citations

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