Richard Gerum

1.3k total citations
36 papers, 731 citations indexed

About

Richard Gerum is a scholar working on Cell Biology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Richard Gerum has authored 36 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cell Biology, 9 papers in Cognitive Neuroscience and 8 papers in Artificial Intelligence. Recurrent topics in Richard Gerum's work include Cellular Mechanics and Interactions (11 papers), Neural dynamics and brain function (7 papers) and Neural Networks and Applications (7 papers). Richard Gerum is often cited by papers focused on Cellular Mechanics and Interactions (11 papers), Neural dynamics and brain function (7 papers) and Neural Networks and Applications (7 papers). Richard Gerum collaborates with scholars based in Germany, Canada and United States. Richard Gerum's co-authors include Ben Fabry, Achim Schilling, Patrick Krauß, Claus Metzner, Werner Schneider, Daniel P. Zitterbart, Navid Bonakdar, Michael Kühn, Katerina E. Aifantis and Sebastian Richter and has published in prestigious journals such as Nature Materials, NeuroImage and Brain.

In The Last Decade

Richard Gerum

34 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Gerum Germany 17 244 224 139 97 72 36 731
Cody J. Smith United States 19 233 1.0× 139 0.6× 35 0.3× 337 3.5× 29 0.4× 46 1.4k
Stéphane Dallongeville France 6 211 0.9× 115 0.5× 51 0.4× 554 5.7× 84 1.2× 11 1.3k
Hervé Rouault France 12 554 2.3× 132 0.6× 216 1.6× 573 5.9× 31 0.4× 15 1.4k
Marina Chicurel United States 16 519 2.1× 253 1.1× 203 1.5× 615 6.3× 26 0.4× 29 1.6k
Achim Schilling Germany 21 153 0.6× 128 0.6× 606 4.4× 105 1.1× 202 2.8× 76 1.2k
Julien Lefèvre France 19 228 0.9× 133 0.6× 455 3.3× 210 2.2× 40 0.6× 55 1.4k
Thomas E. Woolley United Kingdom 22 274 1.1× 188 0.8× 34 0.2× 549 5.7× 19 0.3× 66 1.3k
Claus Metzner Germany 24 555 2.3× 447 2.0× 361 2.6× 180 1.9× 175 2.4× 76 1.7k
Bryan A. Millis United States 20 346 1.4× 110 0.5× 45 0.3× 788 8.1× 49 0.7× 35 1.5k
Kai Dierkes Germany 13 529 2.2× 295 1.3× 197 1.4× 196 2.0× 7 0.1× 17 976

Countries citing papers authored by Richard Gerum

Since Specialization
Citations

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

Fields of papers citing papers by Richard Gerum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Gerum

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Gerum. A scholar is included among the top collaborators of Richard Gerum 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 Richard Gerum. Richard Gerum 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.
Kah, Delf, Claire A. Dessalles, Richard Gerum, et al.. (2025). Contractility of striated muscle tissue increases with environmental stiffness according to a power-law relationship. 2(1). 1 indexed citations
2.
Schilling, Achim, Richard Gerum, Claus Metzner, et al.. (2024). Deep learning based decoding of single local field potential events. NeuroImage. 297. 120696–120696. 1 indexed citations
3.
Cóndor, Mar, Caroline Voskens, Rocío López-Posadas, et al.. (2024). Dynamic traction force measurements of migrating immune cells in 3D biopolymer matrices. Nature Physics. 20(11). 1816–1823. 13 indexed citations
4.
Kah, Delf, Christoph Mark, Geraldine M. O’Neill, et al.. (2023). Fiber alignment in 3D collagen networks as a biophysical marker for cell contractility. Matrix Biology. 124. 39–48. 13 indexed citations
5.
Schilling, Achim, William Sedley, Richard Gerum, et al.. (2023). Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception. Brain. 146(12). 4809–4825. 34 indexed citations
6.
Fischer, Lena, Emine Karakaya, Richard Gerum, et al.. (2022). Calcium supplementation of bioinks reduces shear stress-induced cell damage during bioprinting. Biofabrication. 14(4). 45005–45005. 27 indexed citations
7.
Schilling, Achim, Richard Gerum, Claus Metzner, Andreas Maier, & Patrick Krauß. (2022). Intrinsic Noise Improves Speech Recognition in a Computational Model of the Auditory Pathway. Frontiers in Neuroscience. 16. 908330–908330. 20 indexed citations
8.
Kah, Delf, Richard Gerum, Claire A. Dessalles, et al.. (2021). The desmin mutation R349P increases contractility and fragility of stem cell‐generated muscle micro‐tissues. Neuropathology and Applied Neurobiology. 48(3). e12784–e12784. 10 indexed citations
9.
Schilling, Achim, Andreas Maier, Richard Gerum, Claus Metzner, & Patrick Krauß. (2021). Quantifying the separability of data classes in neural networks. Neural Networks. 139. 278–293. 34 indexed citations
10.
Gerum, Richard, André Erpenbeck, Patrick Krauß, & Achim Schilling. (2020). Sparsity through evolutionary pruning prevents neuronal networks from overfitting. Neural Networks. 128. 305–312. 38 indexed citations
11.
Kah, Delf, et al.. (2020). High-Force Magnetic Tweezers with Hysteresis-Free Force Feedback. Biophysical Journal. 119(1). 15–23. 10 indexed citations
12.
Cóndor, Mar, et al.. (2019). Breast Cancer Cells Adapt Contractile Forces to Overcome Steric Hindrance. Biophysical Journal. 116(7). 1305–1312. 36 indexed citations
13.
Schilling, Achim, Richard Gerum, Patrick Krauß, et al.. (2019). Objective Estimation of Sensory Thresholds Based on Neurophysiological Parameters. Frontiers in Neuroscience. 13. 481–481. 20 indexed citations
14.
Gerum, Richard, Patrick Krauß, Claus Metzner, et al.. (2019). Open(G)PIAS: An Open-Source Solution for the Construction of a High-Precision Acoustic Startle Response Setup for Tinnitus Screening and Threshold Estimation in Rodents. Frontiers in Behavioral Neuroscience. 13. 140–140. 15 indexed citations
15.
Tölle, Regine C., Alexander Nyström, Philipp R. Esser, et al.. (2019). Treatment of keratinocytes with 4-phenylbutyrate in epidermolysis bullosa: Lessons for therapies in keratin disorders. EBioMedicine. 44. 502–515. 24 indexed citations
16.
Richter, Sebastian, et al.. (2018). Phase transitions in huddling emperor penguins. Journal of Physics D Applied Physics. 51(21). 214002–214002. 12 indexed citations
17.
Gerum, Richard, Sebastian Richter, Ben Fabry, et al.. (2018). Structural organisation and dynamics in king penguin colonies. Journal of Physics D Applied Physics. 51(16). 164004–164004. 9 indexed citations
18.
Schilling, Achim, Patrick Krauß, Richard Gerum, et al.. (2017). A New Statistical Approach for the Evaluation of Gap-prepulse Inhibition of the Acoustic Startle Reflex (GPIAS) for Tinnitus Assessment. Frontiers in Behavioral Neuroscience. 11. 198–198. 30 indexed citations
19.
Pataki, Csilla, Richard Gerum, Astrid Mainka, et al.. (2017). The role of focal adhesion anchoring domains of CAS in mechanotransduction. Scientific Reports. 7(1). 46233–46233. 17 indexed citations
20.
Bonakdar, Navid, et al.. (2014). Measuring mechanical properties in cells: three easy methods for biologists. Cell Biology International. 38(10). 1227–1232. 7 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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