Leslie Vogt-Maranto

9.0k total citations · 3 hit papers
33 papers, 3.5k citations indexed

About

Leslie Vogt-Maranto is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry and Molecular Biology. According to data from OpenAlex, Leslie Vogt-Maranto has authored 33 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 11 papers in Physical and Theoretical Chemistry and 10 papers in Molecular Biology. Recurrent topics in Leslie Vogt-Maranto's work include Crystallography and molecular interactions (9 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Machine Learning in Materials Science (6 papers). Leslie Vogt-Maranto is often cited by papers focused on Crystallography and molecular interactions (9 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Machine Learning in Materials Science (6 papers). Leslie Vogt-Maranto collaborates with scholars based in United States, China and Israel. Leslie Vogt-Maranto's co-authors include K. Cranmer, Lenka Zdeborová, Naftali Tishby, J. I. Cirac, Maria Schuld, Giuseppe Carleo, Laurent Daudet, Mark E. Tuckerman, Alán Aspuru‐Guzik and Roberto Olivares‐Amaya and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Leslie Vogt-Maranto

33 papers receiving 3.5k citations

Hit Papers

Machine learning and the physical sciences 2011 2026 2016 2021 2019 2011 2020 400 800 1.2k
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. Machine learning and the physical sciences
    2019 1.4k citations Giuseppe Carleo, J. I. Cirac et al. Reviews of Modern Physics profile →
  2. The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid
    2011 472 citations Roberto Olivares‐Amaya, Carlos Amador‐Bedolla et al. profile →
  3. Quantum chemical accuracy from density functional approximations via machine learning
    2020 264 citations Mihail Bogojeski, Leslie Vogt-Maranto et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leslie Vogt-Maranto United States 24 1.4k 857 644 545 499 33 3.5k
Roman Martoňák Slovakia 27 2.1k 1.5× 914 1.1× 403 0.6× 519 1.0× 355 0.7× 77 3.8k
Zhendong Li China 32 1.1k 0.8× 1.9k 2.2× 594 0.9× 401 0.7× 305 0.6× 89 3.9k
Risi Kondor United States 18 3.7k 2.7× 636 0.7× 620 1.0× 1.2k 2.1× 913 1.8× 34 5.9k
Jiequn Han United States 17 2.4k 1.8× 616 0.7× 740 1.1× 502 0.9× 408 0.8× 44 5.1k
Bernd Hartke Germany 35 1.3k 0.9× 2.3k 2.7× 348 0.5× 176 0.3× 312 0.6× 113 3.8k
Jarek Nieplocha United States 20 1.3k 1.0× 1.7k 1.9× 990 1.5× 271 0.5× 651 1.3× 83 5.7k
Lin Lin United States 39 1.8k 1.3× 2.2k 2.6× 838 1.3× 1.2k 2.2× 122 0.2× 186 4.9k
Hiroyuki Tamura Japan 38 1.1k 0.8× 2.0k 2.3× 1.7k 2.7× 413 0.8× 451 0.9× 307 5.8k
Jonathan Schmidt Germany 18 2.0k 1.5× 466 0.5× 699 1.1× 221 0.4× 115 0.2× 33 3.1k
Vladimir Privman United States 36 1.8k 1.3× 2.0k 2.3× 601 0.9× 454 0.8× 492 1.0× 205 6.1k

Countries citing papers authored by Leslie Vogt-Maranto

Since Specialization
Citations

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

Fields of papers citing papers by Leslie Vogt-Maranto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie Vogt-Maranto. 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 Leslie Vogt-Maranto. The network helps show where Leslie Vogt-Maranto may publish in the future.

Co-authorship network of co-authors of Leslie Vogt-Maranto

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie Vogt-Maranto. A scholar is included among the top collaborators of Leslie Vogt-Maranto 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 Leslie Vogt-Maranto. Leslie Vogt-Maranto 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.
Vogt-Maranto, Leslie, et al.. (2022). Machine learning the Hohenberg-Kohn map for molecular excited states. Nature Communications. 13(1). 7044–7044. 10 indexed citations
2.
Metz, Michael P., et al.. (2022). Crystal Structure Predictions for 4-Amino-2,3,6-trinitrophenol Using a Tailor-Made First-Principles-Based Force Field. Crystal Growth & Design. 22(2). 1182–1195. 9 indexed citations
3.
Zhu, Xiaolong, Chunhua Hu, Leslie Vogt-Maranto, et al.. (2021). Imidacloprid Crystal Polymorphs for Disease Vector Control and Pollinator Protection. Journal of the American Chemical Society. 143(41). 17144–17152. 42 indexed citations
4.
Hong, Richard S., Eric J. Chan, Leslie Vogt-Maranto, et al.. (2021). Insights into the Polymorphic Structures and Enantiotropic Layer-Slip Transition in Paracetamol Form III from Enhanced Molecular Dynamics. Crystal Growth & Design. 21(2). 886–896. 10 indexed citations
5.
Shtukenberg, Alexander G., Eric J. Chan, Leslie Vogt-Maranto, et al.. (2020). Disorderly Conduct of Benzamide IV: Crystallographic and Computational Analysis of High Entropy Polymorphs of Small Molecules. Crystal Growth & Design. 20(4). 2670–2682. 25 indexed citations
6.
Bogojeski, Mihail, Leslie Vogt-Maranto, Mark E. Tuckerman, Klaus‐Robert Müller, & Kieron Burke. (2020). Quantum chemical accuracy from density functional approximations via machine learning. Nature Communications. 11(1). 5223–5223. 264 indexed citations breakdown →
7.
Li, Chao, Alexander G. Shtukenberg, Leslie Vogt-Maranto, et al.. (2020). Why Are Some Crystals Straight?. The Journal of Physical Chemistry C. 124(28). 15616–15624. 30 indexed citations
8.
Carleo, Giuseppe, J. I. Cirac, K. Cranmer, et al.. (2019). Machine learning and the physical sciences. Reviews of Modern Physics. 91(4). 1446 indexed citations breakdown →
9.
Zelovich, Tamar, Leslie Vogt-Maranto, Michael A. Hickner, et al.. (2019). Hydroxide Ion Diffusion in Anion-Exchange Membranes at Low Hydration: Insights from Ab Initio Molecular Dynamics. Chemistry of Materials. 31(15). 5778–5787. 86 indexed citations
10.
Schneider, Elia, Leslie Vogt-Maranto, & Mark E. Tuckerman. (2016). Exploring polymorphism of benzene and naphthalene with free energy based enhanced molecular dynamics. Acta Crystallographica Section B Structural Science Crystal Engineering and Materials. 72(4). 542–550. 43 indexed citations
11.
Bennion, Jonathan C., Leslie Vogt-Maranto, Mark E. Tuckerman, & Adam J. Matzger. (2016). Isostructural Cocrystals of 1,3,5-Trinitrobenzene Assembled by Halogen Bonding. Crystal Growth & Design. 16(8). 4688–4693. 54 indexed citations
12.
Vogt-Maranto, Leslie, et al.. (2015). Oxygen-evolving complex of Photosystem II: an analysis of second-shell residues and hydrogen-bonding networks. Current Opinion in Chemical Biology. 25. 152–158. 94 indexed citations
13.
Ding, Wendu, Christian F. A. Negre, Leslie Vogt-Maranto, & Víctor S. Batista. (2014). Single Molecule Rectification Induced by the Asymmetry of a Single Frontier Orbital. Journal of Chemical Theory and Computation. 10(8). 3393–3400. 34 indexed citations
14.
Pal, Rhitankar, Christian F. A. Negre, Leslie Vogt-Maranto, et al.. (2013). S0-State Model of the Oxygen-Evolving Complex of Photosystem II. Biochemistry. 52(44). 7703–7706. 85 indexed citations
15.
Lang, R., et al.. (2009). Asymmetrical Flow FFF as an Analytical Tool for the Investigation of the Physical Stability of Virus-Like Particles. LCGC North America. 27(9). 844–852. 10 indexed citations
16.
Olivares‐Amaya, Roberto, Mark A. Watson, Richard G. Edgar, et al.. (2009). Accelerating Correlated Quantum Chemistry Calculations Using Graphical Processing Units and a Mixed Precision Matrix Multiplication Library. Journal of Chemical Theory and Computation. 6(1). 135–144. 72 indexed citations
17.
Eremin, Katherine, Jens Stenger, Alán Aspuru‐Guzik, et al.. (2008). Examination of pigments on Thai manuscripts: the first identification of copper citrate. Journal of Raman Spectroscopy. 39(8). 1057–1065. 24 indexed citations
18.
Vogt-Maranto, Leslie, et al.. (2008). Accelerating Resolution-of-the-Identity Second-Order Møller−Plesset Quantum Chemistry Calculations with Graphical Processing Units. The Journal of Physical Chemistry A. 112(10). 2049–2057. 123 indexed citations
19.
Dorman, Frank L., Pamela J. Schettler, Leslie Vogt-Maranto, & Jack Cochran. (2007). Using computer modeling to predict and optimize separations for comprehensive two-dimensional gas chromatography. Journal of Chromatography A. 1186(1-2). 196–201. 35 indexed citations
20.
Vogt-Maranto, Leslie, Thomas Gröger, & Ralf Zimmermann. (2007). Automated compound classification for ambient aerosol sample separations using comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry. Journal of Chromatography A. 1150(1-2). 2–12. 43 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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