Phillip Helms

424 total citations · 1 hit paper
9 papers, 259 citations indexed

About

Phillip Helms is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Phillip Helms has authored 9 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atomic and Molecular Physics, and Optics, 3 papers in Condensed Matter Physics and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Phillip Helms's work include Quantum many-body systems (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Physics of Superconductivity and Magnetism (2 papers). Phillip Helms is often cited by papers focused on Quantum many-body systems (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Physics of Superconductivity and Magnetism (2 papers). Phillip Helms collaborates with scholars based in United States, Netherlands and Italy. Phillip Helms's co-authors include Garnet Kin‐Lic Chan, Zhi‐Hao Cui, Ushnish Ray, Johnnie Gray, Edward F. Valeev, Alexander M. Dalzell, Joonho Lee, Ashutosh Kumar, Lin Lin and Seunghoon Lee and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nano Letters.

In The Last Decade

Phillip Helms

8 papers receiving 252 citations

Hit Papers

Evaluating the evidence for exponential quantum advantage... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip Helms United States 6 183 135 44 42 39 9 259
Eli Chertkov United States 7 140 0.8× 83 0.6× 28 0.6× 19 0.5× 36 0.9× 11 207
Adam L. Shaw United States 9 283 1.5× 199 1.5× 35 0.8× 20 0.5× 8 0.2× 16 345
LeeAnn M. Sager-Smith United States 9 237 1.3× 173 1.3× 26 0.6× 20 0.5× 20 0.5× 24 290
Javier Robledo Moreno United States 6 136 0.7× 55 0.4× 20 0.5× 48 1.1× 27 0.7× 11 190
Kade Head-Marsden United States 9 295 1.6× 255 1.9× 27 0.6× 28 0.7× 9 0.2× 20 369
Oles Shtanko United States 9 254 1.4× 69 0.5× 27 0.6× 116 2.8× 63 1.6× 16 287
Alexandra A. Geim United States 5 229 1.3× 190 1.4× 17 0.4× 51 1.2× 21 0.5× 8 353
Adrien Signoles France 9 357 2.0× 201 1.5× 54 1.2× 14 0.3× 47 1.2× 11 405
Pascal Scholl United States 9 497 2.7× 256 1.9× 39 0.9× 27 0.6× 56 1.4× 11 558
Karen Wintersperger Germany 6 192 1.0× 70 0.5× 21 0.5× 11 0.3× 15 0.4× 7 238

Countries citing papers authored by Phillip Helms

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Helms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Helms

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

All Works

9 of 9 papers shown
1.
Helms, Phillip, et al.. (2025). Stochastic thermodynamic bounds on logical circuit operation. Physical review. E. 111(3). 34110–34110.
2.
Lee, Seunghoon, Joonho Lee, Huanchen Zhai, et al.. (2023). Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry. Nature Communications. 14(1). 1952–1952. 143 indexed citations breakdown →
3.
Gao, Yang, Phillip Helms, Garnet Kin‐Lic Chan, & Edgar Solomonik. (2023). Codebase release 1.3 for SymTensor. 1 indexed citations
4.
Helms, Phillip, Anthony R. Poggioli, & David T. Limmer. (2023). Intrinsic Interface Adsorption Drives Selectivity in Atomically Smooth Nanofluidic Channels. Nano Letters. 23(10). 4226–4233. 5 indexed citations
5.
Gao, Yang, Phillip Helms, Garnet Kin‐Lic Chan, & Edgar Solomonik. (2023). Automatic transformation of irreducible representations for efficient contraction of tensors with cyclic group symmetry. 1 indexed citations
6.
Helms, Phillip, Minseong Lee, Chenghan Li, et al.. (2022). Using Hyperoptimized Tensor Networks and First-Principles Electronic Structure to Simulate the Experimental Properties of the Giant {Mn84} Torus. The Journal of Physical Chemistry Letters. 13(10). 2365–2370. 6 indexed citations
7.
Motta, Mário, Fengjie Ma, Zhi‐Hao Cui, et al.. (2020). UvA-DARE (University of Amsterdam). 61 indexed citations
8.
Helms, Phillip & Garnet Kin‐Lic Chan. (2020). Dynamical Phase Transitions in a 2D Classical Nonequilibrium Model via 2D Tensor Networks. Physical Review Letters. 125(14). 140601–140601. 20 indexed citations
9.
Helms, Phillip, Ushnish Ray, & Garnet Kin‐Lic Chan. (2019). Dynamical phase behavior of the single- and multi-lane asymmetric simple exclusion process via matrix product states. Physical review. E. 100(2). 22101–22101. 22 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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