Lars Andersen Bratholm

1.4k total citations
11 papers, 502 citations indexed

About

Lars Andersen Bratholm is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Lars Andersen Bratholm has authored 11 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Materials Chemistry and 7 papers in Computational Theory and Mathematics. Recurrent topics in Lars Andersen Bratholm's work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers) and Machine Learning in Materials Science (5 papers). Lars Andersen Bratholm is often cited by papers focused on Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers) and Machine Learning in Materials Science (5 papers). Lars Andersen Bratholm collaborates with scholars based in United Kingdom, Denmark and Switzerland. Lars Andersen Bratholm's co-authors include Anders S. Christensen, Felix A. Faber, O. Anatole von Lilienfeld, David R. Glowacki, Martin J. Packer, Stephanie R. Hare, Adrian J. Mulholland, Barry K. Carpenter, Craig P. Butts and Simon J. Bennie and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry A and Chemical Science.

In The Last Decade

Lars Andersen Bratholm

11 papers receiving 496 citations

Peers

Lars Andersen Bratholm

CTM

SPECT

AMPO

Joshua T. Horton United Kingdom

João Marcelo Lamim Ribeiro United States

Lixue Cheng United States

Mojtaba Haghighatlari United States

Christian Devereux United States

Michael J. Willatt Switzerland

Valerio Rizzi Switzerland

Gregor N. C. Simm Switzerland

Julia Westermayr Germany

Silvan Käser Switzerland

Joshua T. Horton United Kingdom

Lars Andersen Bratholm

266 ×0.8

172 ×0.7

CTM

191 ×1.0

55 ×0.5

SPECT

80 ×0.8

AMPO

Citations per year, relative to Lars Andersen Bratholm Lars Andersen Bratholm (= 1×) peers Joshua T. Horton

Countries citing papers authored by Lars Andersen Bratholm

Since Specialization

Citations

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

Fields of papers citing papers by Lars Andersen Bratholm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars Andersen Bratholm. 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 Lars Andersen Bratholm. The network helps show where Lars Andersen Bratholm may publish in the future.

Co-authorship network of co-authors of Lars Andersen Bratholm

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Andersen Bratholm. A scholar is included among the top collaborators of Lars Andersen Bratholm 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 Lars Andersen Bratholm. Lars Andersen Bratholm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Bratholm, Lars Andersen, et al.. (2024). Streamlining NMR Chemical Shift Predictions for Intrinsically Disordered Proteins: Design of Ensembles with Dimensionality Reduction and Clustering. Journal of Chemical Information and Modeling. 64(16). 6542–6556. 1 indexed citations

Christensen, Anders S., Lars Andersen Bratholm, Felix A. Faber, & O. Anatole von Lilienfeld. (2020). FCHL revisited: Faster and more accurate quantum machine learning. The Journal of Chemical Physics. 152(4). 44107–44107. 219 indexed citations

Bratholm, Lars Andersen, et al.. (2020). Training atomic neural networks using fragment-based data generated in virtual reality. The Journal of Chemical Physics. 153(15). 154105–154105. 14 indexed citations

Hare, Stephanie R., Lars Andersen Bratholm, David R. Glowacki, & Barry K. Carpenter. (2019). Low dimensional representations along intrinsic reaction coordinates and molecular dynamics trajectories using interatomic distance matrices. Chemical Science. 10(43). 9954–9968. 56 indexed citations

Bratholm, Lars Andersen, et al.. (2019). . Bristol Research (University of Bristol). 85 indexed citations

Bratholm, Lars Andersen, et al.. (2019). Training Neural Nets To Learn Reactive Potential Energy Surfaces Using Interactive Quantum Chemistry in Virtual Reality. The Journal of Physical Chemistry A. 123(20). 4486–4499. 63 indexed citations

Christensen, Anders S., Felix A. Faber, Lars Andersen Bratholm, et al.. (2017). qmlcode/qml: Release v0.3.1. Figshare. 12 indexed citations

Steinmann, Casper, Lars Andersen Bratholm, Jógvan Magnus Haugaard Olsen, & Jacob Kongsted. (2016). Automated Fragmentation Polarizable Embedding Density Functional Theory (PE-DFT) Calculations of Nuclear Magnetic Resonance (NMR) Shielding Constants of Proteins with Application to Chemical Shift Predictions. Journal of Chemical Theory and Computation. 13(2). 525–536. 21 indexed citations

Bratholm, Lars Andersen & Jan H. Jensen. (2016). Protein structure refinement using a quantum mechanics-based chemical shielding predictor. Chemical Science. 8(3). 2061–2072. 9 indexed citations

10.

Larsen, Anders S., et al.. (2015). ProCS15: a DFT-based chemical shift predictor for backbone and C β atoms in proteins. PeerJ. 3. e1344–e1344. 15 indexed citations

11.

Bratholm, Lars Andersen, Anders S. Christensen, Thomas Hamelryck, & Jan H. Jensen. (2015). Bayesian inference of protein structure from chemical shift data. PeerJ. 3. e861–e861. 7 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.

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