James S. Spencer

2.0k total citations · 1 hit paper
26 papers, 1.0k citations indexed

About

James S. Spencer is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, James S. Spencer has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 7 papers in Materials Chemistry and 6 papers in Condensed Matter Physics. Recurrent topics in James S. Spencer's work include Advanced Chemical Physics Studies (14 papers), Physics of Superconductivity and Magnetism (6 papers) and Machine Learning in Materials Science (5 papers). James S. Spencer is often cited by papers focused on Advanced Chemical Physics Studies (14 papers), Physics of Superconductivity and Magnetism (6 papers) and Machine Learning in Materials Science (5 papers). James S. Spencer collaborates with scholars based in United Kingdom, United States and Germany. James S. Spencer's co-authors include Ali Alavi, W. M. C. Foulkes, Nick S. Blunt, Alex J. W. Thom, David Pfau, James J. Shepherd, Fionn D. Malone, Thomas W. Rogers, George H. Booth and Martijn Marsman and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

James S. Spencer

24 papers receiving 1.0k citations

Hit Papers

align trajectories sort by overperformance

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.

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
James S. Spencer United Kingdom	17	702	395	178	109	90	26	1.0k
Norm M. Tubman United States	14	802 1.1×	200 0.5×	191 1.1×	76 0.7×	115 1.3×	41	1.1k
Matthew R. Hermes United States	21	697 1.0×	243 0.6×	103 0.6×	111 1.0×	230 2.6×	55	1.1k
Gergely Barcza Hungary	15	653 0.9×	315 0.8×	155 0.9×	120 1.1×	155 1.7×	36	958
Jeremy Schofield Canada	21	552 0.8×	559 1.4×	165 0.9×	108 1.0×	114 1.3×	74	1.3k
Deidre Cleland Australia	11	539 0.8×	252 0.6×	157 0.9×	61 0.6×	115 1.3×	16	737
Ireneusz W. Bulik United States	17	566 0.8×	269 0.7×	134 0.8×	105 1.0×	142 1.6×	19	871
James McClain United States	10	1.1k 1.6×	591 1.5×	170 1.0×	169 1.6×	173 1.9×	11	1.6k
Konrad H. Marti Switzerland	10	576 0.8×	170 0.4×	127 0.7×	62 0.6×	186 2.1×	10	799
D. M. Deaven United States	9	579 0.8×	776 2.0×	114 0.6×	136 1.2×	49 0.5×	13	1.3k
Alexei A. Kananenka United States	16	568 0.8×	149 0.4×	119 0.7×	81 0.7×	141 1.6×	32	741

Countries citing papers authored by James S. Spencer

Since Specialization

Citations

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

Fields of papers citing papers by James S. Spencer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Spencer. 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 James S. Spencer. The network helps show where James S. Spencer may publish in the future.

Co-authorship network of co-authors of James S. Spencer

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Spencer. A scholar is included among the top collaborators of James S. Spencer 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 James S. Spencer. James S. Spencer 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

Sutterud, Halvard, et al.. (2024). Neural Wave Functions for Superfluids. Physical Review X. 14(2). 6 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

Malone, Fionn D., et al.. (2022). ipie: A Python-Based Auxiliary-Field Quantum Monte Carlo Program with Flexibility and Efficiency on CPUs and GPUs. Journal of Chemical Theory and Computation. 19(1). 109–121. 18 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.. (2021). Learning many-electron wavefunctions with deep neural networks. Nature Reviews Physics. 3(7). 458–458. 2 indexed citations

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.

Spencer, James S., Nick S. Blunt, W. M. C. Foulkes, et al.. (2019). The HANDE-QMC Project: Open-Source Stochastic Quantum Chemistry from the Ground State Up. Journal of Chemical Theory and Computation. 15(3). 1728–1742. 26 indexed citations

10.

Spencer, James S., et al.. (2018). Large Scale Parallelization in Stochastic Coupled Cluster. Apollo (University of Cambridge). 14 indexed citations

11.

Spencer, James S. & Alex J. W. Thom. (2016). Developments in stochastic coupled cluster theory: The initiator approximation and application to the uniform electron gas. The Journal of Chemical Physics. 144(8). 84108–84108. 39 indexed citations

12.

Malone, Fionn D., Nick S. Blunt, Ethan Brown, et al.. (2016). Accurate Exchange-Correlation Energies for the Warm Dense Electron Gas. Physical Review Letters. 117(11). 115701–115701. 80 indexed citations

13.

Spencer, James S., Nick S. Blunt, Fionn D. Malone, et al.. (2015). Open-Source Development Experiences in Scientific Software: The HANDE Quantum Monte Carlo Project. Journal of Open Research Software. 3(1). 9–9. 16 indexed citations

14.

Spencer, James S., Nick S. Blunt, Fionn D. Malone, et al.. (2014). The Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo project: Open-source stochastic diagonalisation for quantum chemistry. Science and Engineering Ethics. 22(3).

15.

Shepherd, James J., Gustavo E. Scuseria, & James S. Spencer. (2014). Sign problem in full configuration interaction quantum Monte Carlo: Linear and sublinear representation regimes for the exact wave function. Physical Review B. 90(15). 23 indexed citations

16.

Spencer, James S., et al.. (2014). Accelerated simulations of aromatic polymers: application to polyether ether ketone (PEEK). Molecular Physics. 112(20). 2672–2680. 5 indexed citations

17.

Blunt, Nick S., Thomas W. Rogers, James S. Spencer, & W. M. C. Foulkes. (2014). Density-matrix quantum Monte Carlo method. Physical Review B. 89(24). 71 indexed citations

18.

Kolodrubetz, Michael, James S. Spencer, Bryan K. Clark, & W. M. C. Foulkes. (2013). The effect of quantization on the full configuration interaction quantum Monte Carlo sign problem. The Journal of Chemical Physics. 138(2). 24110–24110. 17 indexed citations

19.

Spencer, James S., et al.. (2012). Sentimentor: Sentiment Analysis of Twitter Data.. 56–66. 38 indexed citations

20.

Bea, Robert G., et al.. (1988). Development Of Aim (Assessment, Inspection, Maintenance) Programs For Fixed And Mobile Platforms. Offshore Technology Conference. 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