David Pfau

4.1k total citations · 2 hit papers
26 papers, 1.4k citations indexed

About

David Pfau is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, David Pfau has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Atomic and Molecular Physics, and Optics and 6 papers in Materials Chemistry. Recurrent topics in David Pfau's work include Machine Learning in Materials Science (5 papers), Gaussian Processes and Bayesian Inference (4 papers) and Advanced Chemical Physics Studies (4 papers). David Pfau is often cited by papers focused on Machine Learning in Materials Science (5 papers), Gaussian Processes and Bayesian Inference (4 papers) and Advanced Chemical Physics Studies (4 papers). David Pfau collaborates with scholars based in United States, United Kingdom and Germany. David Pfau's co-authors include Eftychios A. Pnevmatikakis, Liam Paninski, Ben Poole, Luke Metz, Jascha Sohl‐Dickstein, Josh Merel, Weijian Yang, Misha B. Ahrens, Yuanjun Gao and Clay Lacefield and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

David Pfau

25 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data

2016 608 citations Eftychios A. Pnevmatikakis, Daniel Soudry et al. Neuron profile →
Pushing the frontiers of density functionals by solving the fractional electron problem

2021 243 citations James Kirkpatrick, David H. P. Turban et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Pfau United States	11	406	375	244	235	209	26	1.4k
Christopher J. Rozell United States	22	410 1.0×	183 0.5×	88 0.4×	201 0.9×	38 0.2×	107	1.7k
Benjamin B. Machta United States	19	159 0.4×	162 0.4×	114 0.5×	107 0.5×	289 1.4×	38	1.8k
Edward B. Gamble United States	12	130 0.3×	164 0.4×	115 0.5×	155 0.7×	526 2.5×	19	1.2k
András Lörincz Hungary	21	338 0.8×	135 0.4×	70 0.3×	417 1.8×	296 1.4×	174	1.6k
István Z. Kiss United States	36	1.3k 3.2×	432 1.2×	94 0.4×	255 1.1×	436 2.1×	172	4.5k
Shigeru Tanaka Japan	24	890 2.2×	442 1.2×	303 1.2×	211 0.9×	233 1.1×	181	2.3k
E. Paxon Frady United States	13	272 0.7×	251 0.7×	95 0.4×	144 0.6×	27 0.1×	23	995
Lewis D. Griffin United Kingdom	28	351 0.9×	219 0.6×	31 0.1×	267 1.1×	103 0.5×	102	2.6k
John P. George United States	22	402 1.0×	316 0.8×	105 0.4×	95 0.4×	330 1.6×	80	1.8k
Samuel Yang United States	14	485 1.2×	530 1.4×	37 0.2×	98 0.4×	400 1.9×	26	2.1k

Countries citing papers authored by David Pfau

Since Specialization

Citations

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

Fields of papers citing papers by David Pfau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Pfau

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pfau, David, et al.. (2024). Accurate computation of quantum excited states with neural networks. Science. 385(6711). eadn0137–eadn0137. 19 indexed citations

Foulkes, W. M. C., et al.. (2024). Neural network variational Monte Carlo for positronic chemistry. Nature Communications. 15(1). 5214–5214. 7 indexed citations

Hermann, Jan, Kenny Choo, Antonio Mezzacapo, et al.. (2023). Ab initio quantum chemistry with neural-network wavefunctions. Nature Reviews Chemistry. 7(10). 692–709. 63 indexed citations

Citrin, J., et al.. (2023). Fast transport simulations with higher-fidelity surrogate models for ITER. Physics of Plasmas. 30(6). 9 indexed citations

Sutterud, Halvard, Sam Azadi, N. D. Drummond, et al.. (2023). Discovering Quantum Phase Transitions with Fermionic Neural Networks. Physical Review Letters. 130(3). 36401–36401. 47 indexed citations

Kirkpatrick, James, David H. P. Turban, Alexander L. Gaunt, et al.. (2021). Pushing the frontiers of density functionals by solving the fractional electron problem. Science. 374(6573). 1385–1389. 243 indexed citations breakdown →

Spencer, James S., et al.. (2020). Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks. Bulletin of the American Physical Society.

Pfau, David, Ezgi Güler, Daniel A. Smith, et al.. (2020). Imaging features of gastrointestinal toxicity in non-small cell lung cancer patients treated with erlotinib: A single institute 13-year experience. Clinical Imaging. 68. 210–217. 4 indexed citations

Güler, Ezgi, David Pfau, Ethan Radzinsky, et al.. (2019). Imaging and clinical manifestations of immune checkpoint inhibitor-related colitis in cancer patients treated with monotherapy or combination therapy. Abdominal Radiology. 45(10). 3028–3035. 10 indexed citations

10.

Pfau, David, et al.. (2019). Sentinel Node Biopsy in Young Patients with Atypical Melanocytic Tumors of the Head and Neck. OTO Open. 3(2). 2473974X19850752–2473974X19850752. 2 indexed citations

11.

Pfau, David, Daniel A. Smith, Rose Beck, et al.. (2019). Primary Mediastinal Large B-Cell Lymphoma: A Review for Radiologists. American Journal of Roentgenology. 213(5). W194–W210. 9 indexed citations

12.

Pfau, David, et al.. (2019). Erlotinib monotherapy in the treatment of advanced non-small cell lung carcinoma: A single center experience with 187 patients from 2005-2018.. Journal of Clinical Oncology. 37(15_suppl). e20718–e20718. 1 indexed citations

13.

Pfau, David, et al.. (2018). Spectral Inference Networks: Unifying Deep and Spectral Learning. arXiv (Cornell University). 3 indexed citations

14.

Pnevmatikakis, Eftychios A., Daniel Soudry, Yuanjun Gao, et al.. (2016). Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data. Neuron. 89(2). 285–299. 608 indexed citations breakdown →

15.

Doshi‐Velez, Finale, David Pfau, Frank Wood, & Nicholas Roy. (2015). Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning. DSpace@MIT (Massachusetts Institute of Technology). 6 indexed citations

16.

Pfau, David, Eftychios A. Pnevmatikakis, & Liam Paninski. (2013). Robust learning of low-dimensional dynamics from large neural ensembles. Neural Information Processing Systems. 26. 2391–2399. 27 indexed citations

17.

Wong, Yan T., David Putrino, David Pfau, et al.. (2012). Decoding arm and hand movements across layers of the macaque frontal cortices. PubMed. 2012. 1757–60. 2 indexed citations

18.

Zylberberg, Joel, David Pfau, & Michael R. DeWeese. (2012). Dead leaves and the dirty ground: Low-level image statistics in transmissive and occlusive imaging environments. Physical Review E. 86(6). 66112–66112. 3 indexed citations

19.

Pfau, David, et al.. (2010). Probabilistic Deterministic Infinite Automata. Neural Information Processing Systems. 23. 1930–1938. 11 indexed citations

20.

Pfau, David, et al.. (2010). Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process. International Conference on Machine Learning. 73(10). 63–70. 8 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.

Explore authors with similar magnitude of impact