Aleksander E. P. Durumeric

910 total citations · 1 hit paper
14 papers, 575 citations indexed

About

Aleksander E. P. Durumeric is a scholar working on Materials Chemistry, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, Aleksander E. P. Durumeric has authored 14 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 9 papers in Molecular Biology and 2 papers in Condensed Matter Physics. Recurrent topics in Aleksander E. P. Durumeric's work include Protein Structure and Dynamics (8 papers), Machine Learning in Materials Science (8 papers) and Block Copolymer Self-Assembly (6 papers). Aleksander E. P. Durumeric is often cited by papers focused on Protein Structure and Dynamics (8 papers), Machine Learning in Materials Science (8 papers) and Block Copolymer Self-Assembly (6 papers). Aleksander E. P. Durumeric collaborates with scholars based in United States, Germany and United Kingdom. Aleksander E. P. Durumeric's co-authors include Gregory A. Voth, Alexander J. Pak, Timothy D. Loose, Jaehyeok Jin, James F. Dama, Nicholas E. Charron, Yaoyi Chen, Frank Noé, Cecilia Clementi and Jennifer Lippincott‐Schwartz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Aleksander E. P. Durumeric

14 papers receiving 570 citations

Hit Papers

Bottom-up Coarse-Graining: Principles and Perspectives 2022 2026 2023 2024 2022 50 100 150
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. Bottom-up Coarse-Graining: Principles and Perspectives
    2022 169 citations Jaehyeok Jin, Alexander J. Pak et al. Journal of Chemical Theory and Computation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleksander E. P. Durumeric United States 11 315 311 85 82 66 14 575
Martin McCullagh United States 19 293 0.9× 525 1.7× 39 0.5× 63 0.8× 142 2.2× 48 899
Thomas Gibaud France 16 596 1.9× 261 0.8× 90 1.1× 155 1.9× 90 1.4× 35 1.0k
Petra Pernot France 15 257 0.8× 335 1.1× 27 0.3× 104 1.3× 49 0.7× 33 738
Jason A. Wagoner United States 11 141 0.4× 586 1.9× 23 0.3× 81 1.0× 190 2.9× 12 882
Taraknath Mandal India 17 164 0.5× 235 0.8× 11 0.1× 116 1.4× 54 0.8× 38 545
N. Darowski Germany 13 244 0.8× 246 0.8× 61 0.7× 67 0.8× 179 2.7× 41 746
Szilárd N. Fejer Hungary 12 163 0.5× 163 0.5× 25 0.3× 38 0.5× 52 0.8× 33 450
Vincent Dahirel France 14 165 0.5× 204 0.7× 33 0.4× 135 1.6× 103 1.6× 37 688
Masako Takasu Japan 12 152 0.5× 485 1.6× 52 0.6× 116 1.4× 185 2.8× 53 786
Marc Fuhrmans Germany 10 68 0.2× 396 1.3× 20 0.2× 91 1.1× 79 1.2× 16 510

Countries citing papers authored by Aleksander E. P. Durumeric

Since Specialization
Citations

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

Fields of papers citing papers by Aleksander E. P. Durumeric

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aleksander E. P. Durumeric. 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 Aleksander E. P. Durumeric. The network helps show where Aleksander E. P. Durumeric may publish in the future.

Co-authorship network of co-authors of Aleksander E. P. Durumeric

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksander E. P. Durumeric. A scholar is included among the top collaborators of Aleksander E. P. Durumeric 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 Aleksander E. P. Durumeric. Aleksander E. P. Durumeric 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.
Durumeric, Aleksander E. P., et al.. (2025). Operator forces for coarse-grained molecular dynamics. The Journal of Chemical Physics. 163(10). 1 indexed citations
2.
Durumeric, Aleksander E. P., Nicholas E. Charron, Félix Musil, et al.. (2023). Machine learned coarse-grained protein force-fields: Are we there yet?. Current Opinion in Structural Biology. 79. 102533–102533. 47 indexed citations
3.
Peng, Yuxing, Alexander J. Pak, Aleksander E. P. Durumeric, et al.. (2023). OpenMSCG: A Software Tool for Bottom-Up Coarse-Graining. The Journal of Physical Chemistry B. 127(40). 8537–8550. 31 indexed citations
4.
Loose, Timothy D., et al.. (2023). Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles. Journal of Chemical Theory and Computation. 19(14). 4402–4413. 21 indexed citations
5.
Durumeric, Aleksander E. P. & Gregory A. Voth. (2023). Using classifiers to understand coarse-grained models and their fidelity with the underlying all-atom systems. The Journal of Chemical Physics. 158(23). 3 indexed citations
6.
Krämer, Andreas, Aleksander E. P. Durumeric, Nicholas E. Charron, et al.. (2023). Statistically Optimal Force Aggregation for Coarse-Graining Molecular Dynamics. The Journal of Physical Chemistry Letters. 14(17). 3970–3979. 19 indexed citations
7.
Jin, Jaehyeok, Alexander J. Pak, Aleksander E. P. Durumeric, Timothy D. Loose, & Gregory A. Voth. (2022). Bottom-up Coarse-Graining: Principles and Perspectives. Journal of Chemical Theory and Computation. 18(10). 5759–5791. 169 indexed citations breakdown →
8.
Aydin, Fikret, et al.. (2021). Improving the accuracy and convergence of drug permeation simulations via machine-learned collective variables. The Journal of Chemical Physics. 155(4). 45101–45101. 9 indexed citations
9.
Durumeric, Aleksander E. P. & Gregory A. Voth. (2019). Adversarial-residual-coarse-graining: Applying machine learning theory to systematic molecular coarse-graining. The Journal of Chemical Physics. 151(12). 124110–124110. 32 indexed citations
10.
Durumeric, Aleksander E. P., et al.. (2019). Compatible observable decompositions for coarse-grained representations of real molecular systems. The Journal of Chemical Physics. 151(13). 134115–134115. 17 indexed citations
11.
Davtyan, Aram, et al.. (2018). Insights into the Cooperative Nature of ATP Hydrolysis in Actin Filaments. Biophysical Journal. 115(8). 1589–1602. 24 indexed citations
12.
Pak, Alexander J., John M. A. Grime, Prabuddha Sengupta, et al.. (2017). Immature HIV-1 lattice assembly dynamics are regulated by scaffolding from nucleic acid and the plasma membrane. Proceedings of the National Academy of Sciences. 114(47). E10056–E10065. 69 indexed citations
13.
Dama, James F., et al.. (2016). On the representability problem and the physical meaning of coarse-grained models. The Journal of Chemical Physics. 145(4). 44108–44108. 106 indexed citations
14.
Durumeric, Aleksander E. P., et al.. (2013). Dynamics of Excess Electronic Charge in Aliphatic Ionic Liquids Containing the Bis(trifluoromethylsulfonyl)amide Anion. Journal of the American Chemical Society. 135(46). 17528–17536. 27 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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