Nathan Luehr

2.4k total citations · 2 hit papers
14 papers, 1.6k citations indexed

About

Nathan Luehr is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Nathan Luehr has authored 14 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 5 papers in Materials Chemistry and 4 papers in Artificial Intelligence. Recurrent topics in Nathan Luehr's work include Advanced Chemical Physics Studies (7 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Protein Structure and Dynamics (3 papers). Nathan Luehr is often cited by papers focused on Advanced Chemical Physics Studies (7 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Protein Structure and Dynamics (3 papers). Nathan Luehr collaborates with scholars based in United States, Sweden and Switzerland. Nathan Luehr's co-authors include Todd J. Martı́nez, Ivan S. Ufimtsev, A.V. Titov, Edward G. Hohenstein, Christine M. Isborn, Heather J. Kulik, James W. Snyder, Fang Liu, Chenchen Song and Christoph Bannwarth and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and The Journal of Physical Chemistry Letters.

In The Last Decade

Nathan Luehr

14 papers receiving 1.6k citations

Hit Papers

Generating Efficient Quantum Chemistry Codes for Novel Ar... 2012 2026 2016 2021 2012 2020 100 200 300
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.

  1. Generating Efficient Quantum Chemistry Codes for Novel Architectures
    2012 330 citations A.V. Titov, Ivan S. Ufimtsev et al. Journal of Chemical Theory and Computation profile →
  2. TeraChem: A graphical processing unit‐accelerated electronic structure package for large‐scale ab initio molecular dynamics
    2020 215 citations Stefan Seritan, Christoph Bannwarth et al. Wiley Interdisciplinary Reviews Computational Molecular Science profile →

Peers

Nathan Luehr
Debashree Ghosh India
Spencer R. Pruitt United States
Jörg Kußmann Germany
Milan Hodošček Slovenia
Louis Lagardère France
Yuto Komeiji Japan
Micah L. Abrams United States
B. Scott Fales United States
Branislav Jansı́k Denmark
Debashree Ghosh India
Nathan Luehr
Citations per year, relative to Nathan Luehr Nathan Luehr (= 1×) peers Debashree Ghosh

Countries citing papers authored by Nathan Luehr

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Luehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Luehr

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

All Works

14 of 14 papers shown
1.
Seritan, Stefan, Christoph Bannwarth, B. Scott Fales, et al.. (2020). TeraChem: A graphical processing unit‐accelerated electronic structure package for large‐scale ab initio molecular dynamics. Wiley Interdisciplinary Reviews Computational Molecular Science. 11(2). 215 indexed citations breakdown →
2.
Seritan, Stefan, Christoph Bannwarth, B. Scott Fales, et al.. (2020). TeraChem: Accelerating electronic structure and ab initio molecular dynamics with graphical processing units. The Journal of Chemical Physics. 152(22). 224110–224110. 114 indexed citations
3.
Kurth, Thorsten, Sean Treichler, Joshua Romero, et al.. (2018). Exascale deep learning for climate analytics. arXiv (Cornell University). 51. 29 indexed citations
4.
Luehr, Nathan, et al.. (2016). Topology-aware image compositing using NVLink. 93–94. 2 indexed citations
5.
Liu, Fang, Nathan Luehr, Heather J. Kulik, & Todd J. Martı́nez. (2015). Quantum Chemistry for Solvated Molecules on Graphical Processing Units Using Polarizable Continuum Models. Journal of Chemical Theory and Computation. 11(7). 3131–3144. 98 indexed citations
6.
Snyder, James W., Edward G. Hohenstein, Nathan Luehr, & Todd J. Martı́nez. (2015). An atomic orbital-based formulation of analytical gradients and nonadiabatic coupling vector elements for the state-averaged complete active space self-consistent field method on graphical processing units. The Journal of Chemical Physics. 143(15). 154107–154107. 60 indexed citations
7.
Hohenstein, Edward G., Marine E. F. Bouduban, Chenchen Song, et al.. (2015). Analytic first derivatives of floating occupation molecular orbital-complete active space configuration interaction on graphical processing units. The Journal of Chemical Physics. 143(1). 14111–14111. 53 indexed citations
8.
Luehr, Nathan, et al.. (2015). Ab InitioInteractive Molecular Dynamics on Graphical Processing Units (GPUs). Journal of Chemical Theory and Computation. 11(10). 4536–4544. 52 indexed citations
9.
Hohenstein, Edward G., Nathan Luehr, Ivan S. Ufimtsev, & Todd J. Martı́nez. (2015). An atomic orbital-based formulation of the complete active space self-consistent field method on graphical processing units. The Journal of Chemical Physics. 142(22). 224103–224103. 98 indexed citations
10.
Titov, A.V., Ivan S. Ufimtsev, Nathan Luehr, & Todd J. Martı́nez. (2012). Generating Efficient Quantum Chemistry Codes for Novel Architectures. Journal of Chemical Theory and Computation. 9(1). 213–221. 330 indexed citations breakdown →
11.
Kulik, Heather J., Nathan Luehr, Ivan S. Ufimtsev, & Todd J. Martı́nez. (2012). Ab Initio Quantum Chemistry for Protein Structures. The Journal of Physical Chemistry B. 116(41). 12501–12509. 99 indexed citations
12.
Ufimtsev, Ivan S., Nathan Luehr, & Todd J. Martı́nez. (2011). Charge Transfer and Polarization in Solvated Proteins from Ab Initio Molecular Dynamics. The Journal of Physical Chemistry Letters. 2(14). 1789–1793. 111 indexed citations
13.
Isborn, Christine M., Nathan Luehr, Ivan S. Ufimtsev, & Todd J. Martı́nez. (2011). Excited-State Electronic Structure with Configuration Interaction Singles and Tamm–Dancoff Time-Dependent Density Functional Theory on Graphical Processing Units. Journal of Chemical Theory and Computation. 7(6). 1814–1823. 185 indexed citations
14.
Luehr, Nathan, Ivan S. Ufimtsev, & Todd J. Martı́nez. (2011). Dynamic Precision for Electron Repulsion Integral Evaluation on Graphical Processing Units (GPUs). Journal of Chemical Theory and Computation. 7(4). 949–954. 135 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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