Liesbeth M. C. Janssen

1.8k total citations
53 papers, 1.2k citations indexed

About

Liesbeth M. C. Janssen is a scholar working on Materials Chemistry, Condensed Matter Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Liesbeth M. C. Janssen has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 21 papers in Condensed Matter Physics and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Liesbeth M. C. Janssen's work include Material Dynamics and Properties (24 papers), Micro and Nano Robotics (11 papers) and Theoretical and Computational Physics (10 papers). Liesbeth M. C. Janssen is often cited by papers focused on Material Dynamics and Properties (24 papers), Micro and Nano Robotics (11 papers) and Theoretical and Computational Physics (10 papers). Liesbeth M. C. Janssen collaborates with scholars based in Netherlands, Germany and France. Liesbeth M. C. Janssen's co-authors include Ad van der Avoird, Gerrit C. Groenenboom, Hartmut Löwen, Simone Ciarella, David R. Reichman, Piotr S. Żuchowski, Sebastiaan Y. T. van de Meerakker, Nicolas Vogel, Marcel Rey and Andreas Kaiser and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Liesbeth M. C. Janssen

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liesbeth M. C. Janssen Netherlands 17 490 472 293 193 180 53 1.2k
Sarika Maitra Bhattacharyya India 20 676 1.4× 347 0.7× 270 0.9× 124 0.6× 299 1.7× 46 1.1k
Jan Wilhelm Germany 22 638 1.3× 971 2.1× 113 0.4× 92 0.5× 369 2.0× 41 1.9k
James M. Polson Canada 18 452 0.9× 166 0.4× 98 0.3× 157 0.8× 352 2.0× 42 901
G. Kalosakas Greece 23 705 1.4× 677 1.4× 131 0.4× 29 0.2× 220 1.2× 66 1.8k
E. I. Kats Russia 19 425 0.9× 504 1.1× 102 0.3× 138 0.7× 148 0.8× 175 1.5k
Avisek Das United States 12 776 1.6× 239 0.5× 219 0.7× 48 0.2× 223 1.2× 18 1.3k
Leonardo Silvestri Australia 19 287 0.6× 635 1.3× 88 0.3× 84 0.4× 146 0.8× 79 1.3k
David C. Wright United States 15 366 0.7× 334 0.7× 215 0.7× 111 0.6× 127 0.7× 28 1.3k
A. Baumgärtner Germany 21 970 2.0× 369 0.8× 508 1.7× 66 0.3× 412 2.3× 60 1.8k
Ramón Castañeda-Priego Mexico 24 1.2k 2.4× 311 0.7× 284 1.0× 41 0.2× 566 3.1× 91 1.6k

Countries citing papers authored by Liesbeth M. C. Janssen

Since Specialization
Citations

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

Fields of papers citing papers by Liesbeth M. C. Janssen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liesbeth M. C. Janssen. 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 Liesbeth M. C. Janssen. The network helps show where Liesbeth M. C. Janssen may publish in the future.

Co-authorship network of co-authors of Liesbeth M. C. Janssen

This figure shows the co-authorship network connecting the top 25 collaborators of Liesbeth M. C. Janssen. A scholar is included among the top collaborators of Liesbeth M. C. Janssen 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 Liesbeth M. C. Janssen. Liesbeth M. C. Janssen 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.
Janssen, Liesbeth M. C., et al.. (2025). Glassy dynamics in deep neural networks: A structural comparison. Physical Review Research. 7(2). 1 indexed citations
2.
Storm, Cornelis, et al.. (2024). Classifying the age of a glass based on structural properties: A machine learning approach. Physical Review Materials. 8(2). 3 indexed citations
3.
Voigtmann, Thomas, et al.. (2024). Microscopic theory for nonequilibrium correlation functions in dense active fluids. Physical review. E. 109(5). 54605–54605. 3 indexed citations
4.
Janssen, Liesbeth M. C., et al.. (2024). Rejuvenation and memory effects in active glasses induced by thermal and active cycling. Physical Review Research. 6(2). 2 indexed citations
5.
Janssen, Liesbeth M. C., et al.. (2023). Influence of polydispersity on the relaxation mechanisms of glassy liquids. Physical Review Research. 5(3). 7 indexed citations
6.
Janssen, Liesbeth M. C., et al.. (2023). Competing relaxation channels in continuously polydisperse fluids: A mode-coupling study. Physical Review Research. 5(3). 3 indexed citations
7.
Storm, Cornelis, et al.. (2023). Dead or alive: Distinguishing active from passive particles using supervised learning (a). Europhysics Letters (EPL). 143(1). 17004–17004. 3 indexed citations
8.
Ciarella, Simone, et al.. (2023). Dynamics of supercooled liquids from static averaged quantities using machine learning. Machine Learning Science and Technology. 4(2). 25010–25010. 9 indexed citations
9.
Voigtmann, Thomas, et al.. (2023). ModeCouplingTheory.jl: A solver formode-coupling-theory-like integro-differential equations. The Journal of Open Source Software. 8(91). 5737–5737. 4 indexed citations
10.
Janssen, Liesbeth M. C., et al.. (2023). A deep learning approach to the measurement of long-lived memory kernels from generalized Langevin dynamics. The Journal of Chemical Physics. 158(24). 4 indexed citations
11.
Löwen, Hartmut, et al.. (2023). Glassy Dynamics in Chiral Fluids. Physical Review Letters. 130(5). 58201–58201. 22 indexed citations
12.
Janssen, Liesbeth M. C.. (2023). Physics of Cancer Takes Shape. Physics. 16.
13.
Janssen, Liesbeth M. C., et al.. (2023). Unveiling the anatomy of mode-coupling theory. SciPost Physics. 15(5). 5 indexed citations
14.
Janssen, Liesbeth M. C.. (2020). Vitrimers : combining the best of both polymeric worlds. Europhysics news. 51(1). 4–5. 1 indexed citations
15.
Chandran, Sivasurender, J. Baschnagel, Daniele Cangialosi, et al.. (2019). Processing Pathways Decide Polymer Properties at the Molecular Level. Macromolecules. 52(19). 7146–7156. 130 indexed citations
16.
Ciarella, Simone, et al.. (2019). Understanding, predicting, and tuning the fragility of vitrimeric polymers. Proceedings of the National Academy of Sciences. 116(50). 25013–25022. 48 indexed citations
17.
Janssen, Liesbeth M. C.. (2019). Active glasses. Journal of Physics Condensed Matter. 31(50). 503002–503002. 54 indexed citations
18.
Janssen, Liesbeth M. C.. (2018). Mode-Coupling Theory of the Glass Transition: A Primer. Frontiers in Physics. 6. 115 indexed citations
19.
Janssen, Liesbeth M. C., Andreas Kaiser, & Hartmut Löwen. (2017). Aging and rejuvenation of active matter under topological constraints. Scientific Reports. 7(1). 5667–5667. 42 indexed citations
20.
Janssen, Liesbeth M. C., Piotr S. Żuchowski, Ad van der Avoird, Gerrit C. Groenenboom, & Jeremy M. Hutson. (2011). Cold and ultracold NH-NH collisions in magnetic fields. Physical Review A. 83(2). 32 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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