Thomas Speck

6.5k total citations · 1 hit paper
96 papers, 4.2k citations indexed

About

Thomas Speck is a scholar working on Condensed Matter Physics, Materials Chemistry and Statistical and Nonlinear Physics. According to data from OpenAlex, Thomas Speck has authored 96 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Condensed Matter Physics, 46 papers in Materials Chemistry and 42 papers in Statistical and Nonlinear Physics. Recurrent topics in Thomas Speck's work include Advanced Thermodynamics and Statistical Mechanics (42 papers), Micro and Nano Robotics (37 papers) and Material Dynamics and Properties (25 papers). Thomas Speck is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (42 papers), Micro and Nano Robotics (37 papers) and Material Dynamics and Properties (25 papers). Thomas Speck collaborates with scholars based in Germany, United Kingdom and United States. Thomas Speck's co-authors include Hartmut Löwen, Udo Seifert, Clemens Bechinger, Ivo Buttinoni, Felix Kümmel, Valentin Blickle, Andreas M. Menzel, C. Patrick Royall, J. Siebert and Andreas Fischer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Angewandte Chemie International Edition.

In The Last Decade

Thomas Speck

93 papers receiving 4.2k citations

Hit Papers

Dynamical Clustering and Phase Separation in Suspensions ... 2013 2026 2017 2021 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Speck Germany 33 2.6k 2.4k 1.4k 1.1k 770 96 4.2k
Jean‐François Joanny France 16 2.9k 1.1× 1.2k 0.5× 834 0.6× 1.2k 1.1× 386 0.5× 30 4.1k
Luca Angelani Italy 30 2.1k 0.8× 1.0k 0.4× 1.0k 0.7× 1.1k 1.0× 515 0.7× 73 3.3k
Giorgio Volpe United Kingdom 25 2.5k 1.0× 1.1k 0.4× 944 0.7× 3.3k 3.0× 1.4k 1.8× 51 5.5k
Raphael Wittkowski Germany 24 2.1k 0.8× 1.0k 0.4× 1.2k 0.8× 992 0.9× 168 0.2× 65 2.8k
C. Reichhardt United States 44 5.8k 2.2× 2.0k 0.8× 1.8k 1.3× 1.9k 1.7× 2.9k 3.8× 187 7.8k
Yariv Kafri Israel 28 1.9k 0.7× 1.4k 0.6× 520 0.4× 603 0.5× 691 0.9× 73 3.0k
Aparna Baskaran United States 26 2.8k 1.1× 1.3k 0.5× 1.1k 0.8× 939 0.9× 163 0.2× 61 3.3k
C. J. Olson Reichhardt United States 33 2.2k 0.8× 765 0.3× 832 0.6× 620 0.6× 1.1k 1.5× 116 3.1k
Sabine H. L. Klapp Germany 31 1.2k 0.4× 593 0.2× 1.4k 1.0× 1.2k 1.1× 511 0.7× 161 3.0k
Ken Sekimoto Japan 29 917 0.4× 1.8k 0.7× 666 0.5× 638 0.6× 830 1.1× 97 4.1k

Countries citing papers authored by Thomas Speck

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Speck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Speck

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Speck. A scholar is included among the top collaborators of Thomas Speck 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 Thomas Speck. Thomas Speck 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.
Fan, Sisi, et al.. (2025). Morphology remodelling and membrane channel formation in synthetic cells via reconfigurable DNA nanorafts. Nature Materials. 24(2). 278–286. 10 indexed citations
2.
Mazzucchelli, Mattia L., Evangelos Moulas, Boris Kaus, & Thomas Speck. (2024). Fluid-mineral Equilibrium Under Nonhydrostatic Stress: Insight From Molecular Dynamics. American Journal of Science. 324. 4 indexed citations
3.
Speck, Thomas, et al.. (2024). Collective Hall current in chiral active fluids: Coupling of phase and mass transport through traveling bands. Proceedings of the National Academy of Sciences. 121(27). e2320256121–e2320256121. 6 indexed citations
4.
Speck, Thomas, et al.. (2024). Motility-Induced Clustering of Active Particles under Soft Confinement. Physical Review Letters. 133(4). 48301–48301. 3 indexed citations
5.
Speck, Thomas, et al.. (2023). Effective dynamics and fluctuations of a trapped probe moving in a fluid of active hard discs (a). Europhysics Letters (EPL). 143(1). 17005–17005. 8 indexed citations
6.
Blümler, Peter, et al.. (2023). Exploiting compositional disorder in collectives of light-driven circle walkers. Science Advances. 9(15). eadf5443–eadf5443. 19 indexed citations
7.
Speck, Thomas, et al.. (2023). Toward a structural identification of metastable molecular conformations. The Journal of Chemical Physics. 159(11). 1 indexed citations
8.
Speck, Thomas, et al.. (2022). Employing Artificial Neural Networks to Identify Reaction Coordinates and Pathways for Self-Assembly. The Journal of Physical Chemistry B. 126(27). 5007–5016. 9 indexed citations
9.
Kummer, Florian, et al.. (2021). High-order simulation scheme for active particles driven by stress boundary conditions. Journal of Physics Condensed Matter. 33(24). 244004–244004. 2 indexed citations
10.
Speck, Thomas, et al.. (2021). Vorticity Determines the Force on Bodies Immersed in Active Fluids. Physical Review Letters. 126(13). 138002–138002. 12 indexed citations
11.
Fischer, Andreas, et al.. (2020). From scalar to polar active matter: Connecting simulations with mean-field theory. Physical review. E. 101(2). 22602–22602. 16 indexed citations
12.
Weber, Jürgen, et al.. (2020). Increase of energy efficiency in vacuum handling systems based on biomimetic principles. 17–26. 4 indexed citations
13.
Niu, Ran, Thomas Palberg, & Thomas Speck. (2017). Self-Assembly of Colloidal Molecules due to Self-Generated Flow. Physical Review Letters. 119(2). 28001–28001. 67 indexed citations
14.
Speck, Thomas & Robert L. Jack. (2016). Ideal bulk pressure of active Brownian particles. Physical review. E. 93(6). 62605–62605. 61 indexed citations
15.
Speck, Thomas, et al.. (2016). Applicability of effective pair potentials for active Brownian particles. The European Physical Journal E. 39(9). 84–84. 36 indexed citations
16.
Williams, Ian, Erdal C. Oğuz, Thomas Speck, et al.. (2015). Transmission of torque at the nanoscale. Nature Physics. 12(1). 98–103. 26 indexed citations
17.
Siebert, J., et al.. (2015). Negative Interfacial Tension in Phase-Separated Active Brownian Particles. Physical Review Letters. 115(9). 98301–98301. 139 indexed citations
18.
Buttinoni, Ivo, et al.. (2013). Dynamical Clustering and Phase Separation in Suspensions of Self-Propelled Colloidal Particles. Physical Review Letters. 110(23). 238301–238301. 833 indexed citations breakdown →
19.
Seifert, Udo & Thomas Speck. (2009). The Fluctuation-Dissipation Theorem for Nonequilibrium Steady States: Role of Stochastic Entropy and a Classification of Variants. arXiv (Cornell University). 2 indexed citations
20.
Speck, Thomas, et al.. (2008). Large deviation function for entropy production in driven one-dimensional systems. Physical Review E. 78(1). 11123–11123. 44 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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