Timothy D. Loose

436 total citations · 1 hit paper
7 papers, 265 citations indexed

About

Timothy D. Loose is a scholar working on Materials Chemistry, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, Timothy D. Loose has authored 7 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 3 papers in Molecular Biology and 2 papers in Condensed Matter Physics. Recurrent topics in Timothy D. Loose's work include Protein Structure and Dynamics (3 papers), Machine Learning in Materials Science (3 papers) and Block Copolymer Self-Assembly (3 papers). Timothy D. Loose is often cited by papers focused on Protein Structure and Dynamics (3 papers), Machine Learning in Materials Science (3 papers) and Block Copolymer Self-Assembly (3 papers). Timothy D. Loose collaborates with scholars based in United States, Germany and Spain. Timothy D. Loose's co-authors include Gregory A. Voth, Aleksander E. P. Durumeric, Jaehyeok Jin, Alexander J. Pak and Yuxing Peng and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Journal of Chemical Theory and Computation.

In The Last Decade

Timothy D. Loose

7 papers receiving 260 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

Timothy D. Loose
Tanmoy Sanyal United States
Kirill Shmilovich United States
Handan Arkın Türkiye
Alexander Mirzoev Sweden
S. Pirkl France
Matthew R. Hennefarth United States
Wujie Wang United States
Debaprasad Giri India
Byoung-jin Jeon United States
Saroj Kumar Nandi India
Tanmoy Sanyal United States
Timothy D. Loose
Citations per year, relative to Timothy D. Loose Timothy D. Loose (= 1×) peers Tanmoy Sanyal

Countries citing papers authored by Timothy D. Loose

Since Specialization
Citations

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

Fields of papers citing papers by Timothy D. Loose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy D. Loose. 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 Timothy D. Loose. The network helps show where Timothy D. Loose may publish in the future.

Co-authorship network of co-authors of Timothy D. Loose

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

All Works

7 of 7 papers shown
1.
Loose, Timothy D., et al.. (2024). Changing Your Martini Can Still Give You a Hangover. Journal of Chemical Theory and Computation. 20(20). 9190–9208. 10 indexed citations
2.
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
3.
Loose, Timothy D., et al.. (2023). Coarse-Graining with Equivariant Neural Networks: A Path Toward Accurate and Data-Efficient Models. The Journal of Physical Chemistry B. 127(49). 10564–10572. 17 indexed citations
4.
Loose, Timothy D., et al.. (2023). Can a coarse-grained water model capture the key physical features of the hydrophobic effect?. The Journal of Chemical Physics. 159(22). 3 indexed citations
5.
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
6.
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 →
7.
Loose, Timothy D., et al.. (2022). Centroid Molecular Dynamics Can Be Greatly Accelerated through Neural Network Learned Centroid Forces Derived from Path Integral Molecular Dynamics. Journal of Chemical Theory and Computation. 18(10). 5856–5863. 14 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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