Nicholas J. Browning

460 total citations · 1 hit paper
8 papers, 200 citations indexed

About

Nicholas J. Browning is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Nicholas J. Browning has authored 8 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 4 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Nicholas J. Browning's work include Machine Learning in Materials Science (5 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (2 papers). Nicholas J. Browning is often cited by papers focused on Machine Learning in Materials Science (5 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (2 papers). Nicholas J. Browning collaborates with scholars based in Switzerland, Austria and United Kingdom. Nicholas J. Browning's co-authors include O. Anatole von Lilienfeld, Raghunathan Ramakrishnan, Ilyes Batatia, William C. Witt, Joshua T. Horton, Ioan-Bogdan Magdău, Gábor Cśanyi, Marta A. S. Perez, Dávid Péter Kovács and Daniel J. Cole and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and The Journal of Physical Chemistry Letters.

In The Last Decade

Nicholas J. Browning

8 papers receiving 199 citations

Hit Papers

MACE-OFF: Short-Range Transferable Machine Learning Force... 2025 2026 2025 10 20 30 40

Peers

Nicholas J. Browning
Comparison fields: 5 of 46
  • Materials Chemistry 123
  • Computational Theory and Mathematics 64
  • Atomic and Molecular Physics, and Optics 53
  • Molecular Biology 49
  • Physical and Theoretical Chemistry 28
Replace Kai Töpfer with:
Kai Töpfer Switzerland
Luis Itza Vazquez-Salazar Switzerland
Marius R. Bittermann Netherlands
Adil Kabylda Russia
Xingyi Guan United States
Yuanqing Wang United States
Kevin Ryczko Canada
Wujie Wang United States
Samarjeet Prasad United States
Sergey N. Pozdnyakov Switzerland
Kai Töpfer Switzerland View profile →
Citations per field, relative to Nicholas J. Browning
Nicholas J. Browning · 1×
Citations per year, relative to Nicholas J. Browning
Nicholas J. Browning · 1×

Countries citing papers authored by Nicholas J. Browning

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas J. Browning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas J. Browning. 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 Nicholas J. Browning. The network helps show where Nicholas J. Browning may publish in the future.

Co-authorship network of co-authors of Nicholas J. Browning

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

All Works

8 of 8 papers shown
# Work Indexed citations
1
MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic Molecules breakdown →
48
2 5
3 38
4 3
5 15
6 51
7 34
8 6

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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