Ómar Valsson

40 papers receiving 2.0k citations

Ómar Valsson's Hit Papers

Enhanced Sampling Methods for Molecular Dynamics Simulations [Article v1.0] 2022 · 214 citations
2140+3+6Years since publication100200300400

Peers

Ómar Valsson
Comparison fields: 5 of 121
  • Physical and Theoretical Chemistry 215
  • Atomic and Molecular Physics, and Optics 735
  • Condensed Matter Physics 207
  • Materials Chemistry 679
  • Molecular Biology 915
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Fabrizio Marinelli United States
Mary A. Rohrdanz United States
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Oren M. Becker Israel
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Marc R. Roussel Canada
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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 41 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 →
2016478
2 2014231
3
Enhanced Sampling Methods for Molecular Dynamics Simulations [Article v1.0]
Hit paper breakdown →
2022214
4 2011124
5 2010120
6 201796
7 201379
8 201371
9 201852
10 201248
11 201644
12 201542
13 201536
14 201730
15 202129
16 201727
17 201626
18 202121
19 201519
20 201219

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 41 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 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 (215 citations), Atomic and Molecular Physics, and Optics (735 citations), Condensed Matter Physics (207 citations), Materials Chemistry (679 citations) and Molecular Biology (915 citations). Ómar Valsson has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Michele Parrinello, Pratyush Tiwary, Claudia Filippi, Michael R. Shirts, Lucie Delemotte, Tony Lelièvre, Jérôme Hénin, Robert Send, 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, The Journal of Chemical Physics, Physical Review Letters and Physical Chemistry Chemical 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.

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