Felix A. Faber

2.2k total citations · 2 hit papers
16 papers, 1.5k citations indexed

About

Felix A. Faber is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Social Psychology. According to data from OpenAlex, Felix A. Faber has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 6 papers in Computational Theory and Mathematics and 4 papers in Social Psychology. Recurrent topics in Felix A. Faber's work include Machine Learning in Materials Science (10 papers), Computational Drug Discovery Methods (6 papers) and X-ray Diffraction in Crystallography (6 papers). Felix A. Faber is often cited by papers focused on Machine Learning in Materials Science (10 papers), Computational Drug Discovery Methods (6 papers) and X-ray Diffraction in Crystallography (6 papers). Felix A. Faber collaborates with scholars based in United Kingdom, Switzerland and Germany. Felix A. Faber's co-authors include O. Anatole von Lilienfeld, Rickard Armiento, Alexander Lindmaa, Lars Andersen Bratholm, Anders S. Christensen, Samuel S. Schoenholz, Patrick Riley, George E. Dahl, Bing Huang and Justin Gilmer and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Felix A. Faber

15 papers receiving 1.5k citations

Hit Papers

Prediction Errors of Molecular Machine Learning Models Lo... 2015 2026 2018 2022 2017 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felix A. Faber United Kingdom 10 1.2k 638 241 188 142 16 1.5k
Nicola Molinari United States 14 1.0k 0.8× 287 0.4× 212 0.9× 653 3.5× 151 1.1× 23 1.8k
Luigi Bonati Italy 13 625 0.5× 148 0.2× 423 1.8× 80 0.4× 210 1.5× 19 1.0k
Ryo Tamura Japan 25 1.3k 1.0× 212 0.3× 127 0.5× 453 2.4× 415 2.9× 117 2.2k
David Gao United Kingdom 16 857 0.7× 148 0.2× 70 0.3× 759 4.0× 275 1.9× 35 1.5k
A. Gilad Kusne United States 18 1.2k 1.0× 137 0.2× 41 0.2× 644 3.4× 117 0.8× 37 1.9k
Chenchen Song China 19 480 0.4× 72 0.1× 158 0.7× 167 0.9× 466 3.3× 48 1.4k
Feliksas Ivanauskas Lithuania 21 237 0.2× 44 0.1× 289 1.2× 601 3.2× 280 2.0× 125 1.5k
Simon J. Bennie United Kingdom 12 130 0.1× 54 0.1× 114 0.5× 44 0.2× 211 1.5× 16 533
Victor Rühle United Kingdom 12 431 0.3× 14 0.0× 209 0.9× 453 2.4× 166 1.2× 22 1.3k
Milica Todorović Finland 14 423 0.3× 108 0.2× 69 0.3× 215 1.1× 245 1.7× 43 827

Countries citing papers authored by Felix A. Faber

Since Specialization
Citations

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

Fields of papers citing papers by Felix A. Faber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felix A. Faber. 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 Felix A. Faber. The network helps show where Felix A. Faber may publish in the future.

Co-authorship network of co-authors of Felix A. Faber

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

All Works

16 of 16 papers shown
1.
King‐Smith, Emma, Felix A. Faber, Louise Bernier, et al.. (2025). Predictive design of crystallographic chiral separation. Nature Communications. 16(1). 7977–7977.
2.
3.
Goodall, Rhys E. A., et al.. (2024). Identifying crystal structures beyond known prototypes from x-ray powder diffraction spectra. Physical Review Materials. 8(10). 3 indexed citations
4.
King‐Smith, Emma, Felix A. Faber, Usa Reilly, et al.. (2024). Predictive Minisci late stage functionalization with transfer learning. Nature Communications. 15(1). 426–426. 18 indexed citations
5.
Poelking, Carl, Felix A. Faber, & Bingqing Cheng. (2022). BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale. Machine Learning Science and Technology. 3(4). 40501–40501. 3 indexed citations
6.
Goodall, Rhys E. A., et al.. (2022). Rapid discovery of stable materials by coordinate-free coarse graining. Science Advances. 8(30). eabn4117–eabn4117. 36 indexed citations
7.
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
8.
Faber, Felix A., Bing Huang, Justin Gilmer, et al.. (2017). Fast machine learning models of electronic and energetic properties consistently reach approximation errors better than DFT accuracy. arXiv (Cornell University). 5 indexed citations
9.
Faber, Felix A., Luke A. D. Hutchison, Bing Huang, et al.. (2017). Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error. Journal of Chemical Theory and Computation. 13(11). 5255–5264. 459 indexed citations breakdown →
10.
Christensen, Anders S., Felix A. Faber, Lars Andersen Bratholm, et al.. (2017). qmlcode/qml: Release v0.3.1. Figshare. 12 indexed citations
11.
Faber, Felix A., Alexander Lindmaa, O. Anatole von Lilienfeld, & Rickard Armiento. (2016). Machine Learning Energies of 2 Million Elpasolite(ABC2D6)Crystals. Physical Review Letters. 117(13). 135502–135502. 297 indexed citations
12.
Faber, Felix A., Alexander Lindmaa, O. Anatole von Lilienfeld, & Rickard Armiento. (2015). Crystal structure representations for machine learning models of formation energies. International Journal of Quantum Chemistry. 115(16). 1094–1101. 336 indexed citations breakdown →
13.
Bennewitz, Maren, Felix A. Faber, Dominik Joho, & Sven Behnke. (2007). Fritz - A Humanoid Communication Robot. 1072–1077. 33 indexed citations
14.
Bennewitz, Maren, Felix A. Faber, Dominik Joho, Michael Schreiber, & Sven Behnke. (2006). Towards a humanoid museum guide robot that interacts with multiple persons. 418–423. 94 indexed citations
15.
Bennewitz, Maren, Felix A. Faber, Dominik Joho, Michael Schreiber, & Sven Behnke. (2005). Integrating vision and speech for conversations with multiple persons. 2523–2528. 22 indexed citations
16.
Bennewitz, Maren, Felix A. Faber, Dominik Joho, Michael Schreiber, & Sven Behnke. (2005). Enabling a Humanoid Robot to Interact with Multiple Persons. 6 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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