Ómar Valsson

37 papers receiving 1.8k citations

Ómar Valsson's Hit Papers

Enhanced Sampling Methods for Molecular Dynamics Simulations [Article v1.0] 2022 · 185 citations
1850+3+6Years since publication100200300400

Peers

Ómar Valsson
Comparison fields: 5 of 120
  • Physical and Theoretical Chemistry 211
  • Atomic and Molecular Physics, and Optics 687
  • Condensed Matter Physics 203
  • Materials Chemistry 650
  • Molecular Biology 858
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Fabrizio Marinelli United States
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Walter Nadler Germany
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Citations per year

Countries citing papers authored by Ómar Valsson

Since Specialization
Citations

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

Fields of papers citing papers by Ómar Valsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ómar Valsson, 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 Ómar Valsson Line = papers co-authored together Ómar Valsson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhancing Important Fluctuations: Rare Events and Metadynamics from a Conceptual Viewpoint
Hit paper breakdown →
2016452
2 2014214
3
Enhanced Sampling Methods for Molecular Dynamics Simulations [Article v1.0]
Hit paper breakdown →
2022185
4 2011122
5 2010116
6 201788
7 201374
8 201368
9 201851
10 201247
11 201642
12 201539
13 201533
14 202128
15 201725
16 201624
17 201724
18 201219
19 201518
20 201716

About Ómar Valsson

Ómar Valsson is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), Spectroscopy and Quantum Chemical Studies (13 papers), Theoretical and Computational Physics (11 papers), Material Dynamics and Properties (8 papers), Photoreceptor and optogenetics research (6 papers), Advanced Chemical Physics Studies (5 papers), Machine Learning in Materials Science (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). The work is most often cited by research in Physical and Theoretical Chemistry (211 citations), Atomic and Molecular Physics, and Optics (687 citations), Condensed Matter Physics (203 citations), Materials Chemistry (650 citations) and Molecular Biology (858 citations). Ómar Valsson has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Michele Parrinello, Pratyush Tiwary, Claudia Filippi, Robert Send, Tony Lelièvre, Jérôme Hénin, Lucie Delemotte, Michael R. Shirts, Pablo M. Piaggi and Jakub Rydzewski. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Physical Chemistry Letters, Physical Review Letters, The Journal of Chemical Physics and Proceedings of the National Academy of Sciences.

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.

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