Eric Neuscamman

5.2k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Eric Neuscamman is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Eric Neuscamman has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atomic and Molecular Physics, and Optics, 10 papers in Materials Chemistry and 9 papers in Spectroscopy. Recurrent topics in Eric Neuscamman's work include Advanced Chemical Physics Studies (35 papers), Spectroscopy and Quantum Chemical Studies (21 papers) and Machine Learning in Materials Science (8 papers). Eric Neuscamman is often cited by papers focused on Advanced Chemical Physics Studies (35 papers), Spectroscopy and Quantum Chemical Studies (21 papers) and Machine Learning in Materials Science (8 papers). Eric Neuscamman collaborates with scholars based in United States, Japan and Germany. Eric Neuscamman's co-authors include Garnet Kin‐Lic Chan, Takeshi Yanai, Luning Zhao, Yuki Kurashige, D. C. Ralph, J. J. Parks, William W. Shum, Samuel Flores-Torres, C. A. Balseiro and T. A. Costi and has published in prestigious journals such as Science, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Eric Neuscamman

41 papers receiving 1.5k citations

Hit Papers

Mechanical Control of Spin States in Spin-1 Molecules and... 2010 2026 2015 2020 2010 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
Eric Neuscamman United States 17 1.2k 358 269 251 209 44 1.5k
Alex J. W. Thom United Kingdom 21 1.2k 1.0× 172 0.5× 441 1.6× 215 0.9× 233 1.1× 61 1.7k
Carlos A. Jiménez-Hoyos United States 23 1.1k 1.0× 155 0.4× 305 1.1× 294 1.2× 322 1.5× 46 1.6k
Daniel Kats Germany 21 1.2k 1.0× 181 0.5× 405 1.5× 127 0.5× 255 1.2× 53 1.4k
Giovanni Li Manni Germany 22 1.3k 1.1× 269 0.8× 548 2.0× 225 0.9× 239 1.1× 41 2.0k
Stefan Knecht Switzerland 26 1.3k 1.1× 203 0.6× 390 1.4× 90 0.4× 308 1.5× 55 1.8k
Peter A. Limacher Canada 18 779 0.7× 152 0.4× 327 1.2× 92 0.4× 230 1.1× 28 1.3k
Sebastian Wouters Belgium 13 1.5k 1.2× 202 0.6× 552 2.1× 289 1.2× 311 1.5× 20 2.1k
Gergely Gidofalvi United States 17 1.1k 0.9× 249 0.7× 279 1.0× 63 0.3× 236 1.1× 29 1.4k
Sheng Guo China 13 1.0k 0.9× 187 0.5× 633 2.4× 146 0.6× 205 1.0× 30 1.9k

Countries citing papers authored by Eric Neuscamman

Since Specialization
Citations

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

Fields of papers citing papers by Eric Neuscamman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Neuscamman

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

All Works

20 of 20 papers shown
1.
Neuscamman, Eric, et al.. (2025). Aufbau Suppressed Coupled Cluster As a Post-Linear-Response Method. Journal of Chemical Theory and Computation. 21(18). 8843–8852.
2.
Neuscamman, Eric, et al.. (2025). Method-independent cusps for atomic orbitals in quantum Monte Carlo. The Journal of Chemical Physics. 162(10).
3.
Neuscamman, Eric, et al.. (2025). Fast and Accurate Charge Transfer Excitations via Nested Aufbau Suppressed Coupled Cluster. The Journal of Physical Chemistry Letters. 16(31). 7889–7897. 1 indexed citations
4.
Ma, Zhiwei, et al.. (2025). Improving Aufbau Suppressed Coupled Cluster through Perturbative Analysis. Journal of Chemical Theory and Computation. 21(8). 3993–4005. 3 indexed citations
5.
Neuscamman, Eric, et al.. (2024). Aufbau Suppressed Coupled Cluster Theory for Electronically Excited States. Journal of Chemical Theory and Computation. 20(7). 2761–2773. 6 indexed citations
6.
Tran, Lan Nguyen & Eric Neuscamman. (2023). Exploring Ligand-to-Metal Charge-Transfer States in the Photo-Ferrioxalate System Using Excited-State Specific Optimization. The Journal of Physical Chemistry Letters. 14(33). 7454–7460. 6 indexed citations
7.
Townsend, Joshua, Raymond C. Clay, Thomas R. Mattsson, et al.. (2020). Starting-point-independent quantum Monte Carlo calculations of iron oxide. Physical review. B.. 102(15). 6 indexed citations
8.
Neuscamman, Eric, et al.. (2020). N5-Scaling Excited-State-Specific Perturbation Theory. Journal of Chemical Theory and Computation. 16(10). 6132–6141. 16 indexed citations
9.
Zhao, Luning & Eric Neuscamman. (2019). Density Functional Extension to Excited-State Mean-Field Theory. Journal of Chemical Theory and Computation. 16(1). 164–178. 23 indexed citations
10.
Zhao, Luning & Eric Neuscamman. (2019). Variational Excitations in Real Solids: Optical Gaps and Insights into Many-Body Perturbation Theory. Physical Review Letters. 123(3). 36402–36402. 14 indexed citations
11.
Neuscamman, Eric, et al.. (2019). Complementary first and second derivative methods for ansatz optimization in variational Monte Carlo. Physical Chemistry Chemical Physics. 21(27). 14491–14510. 11 indexed citations
12.
Neuscamman, Eric, et al.. (2018). Reduced scaling Hilbert space variational Monte Carlo. The Journal of Chemical Physics. 149(18). 184106–184106. 9 indexed citations
13.
Zhao, Luning & Eric Neuscamman. (2017). A Blocked Linear Method for Optimizing Large Parameter Sets in Variational Monte Carlo. Journal of Chemical Theory and Computation. 13(6). 2604–2611. 15 indexed citations
14.
Neuscamman, Eric, et al.. (2017). Suppressing Ionic Terms with Number-Counting Jastrow Factors in Real Space. Journal of Chemical Theory and Computation. 13(5). 2035–2042. 12 indexed citations
15.
Zhao, Luning & Eric Neuscamman. (2016). An Efficient Variational Principle for the Direct Optimization of Excited States. Journal of Chemical Theory and Computation. 12(8). 3436–3440. 40 indexed citations
16.
Zhao, Luning & Eric Neuscamman. (2016). Amplitude Determinant Coupled Cluster with Pairwise Doubles. Journal of Chemical Theory and Computation. 12(12). 5841–5850. 12 indexed citations
17.
Clark, Bryan K., Jesse Kinder, Eric Neuscamman, Garnet Kin‐Lic Chan, & Michael J. Lawler. (2013). Striped Spin Liquid Crystal Ground State Instability of Kagome Antiferromagnets. Physical Review Letters. 111(18). 187205–187205. 31 indexed citations
18.
Neuscamman, Eric. (2012). Size Consistency Error in the Antisymmetric Geminal Power Wave Function can be Completely Removed. Physical Review Letters. 109(20). 203001–203001. 62 indexed citations
19.
Yanai, Takeshi, Yuki Kurashige, Eric Neuscamman, & Garnet Kin‐Lic Chan. (2012). Extended implementation of canonical transformation theory: parallelization and a new level-shifted condition. Physical Chemistry Chemical Physics. 14(21). 7809–7809. 24 indexed citations
20.
Neuscamman, Eric, Takeshi Yanai, & Garnet Kin‐Lic Chan. (2010). Strongly contracted canonical transformation theory. The Journal of Chemical Physics. 132(2). 24106–24106. 69 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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