Felipe Gerhard

514 total citations
9 papers, 283 citations indexed

About

Felipe Gerhard is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Felipe Gerhard has authored 9 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Felipe Gerhard's work include Neural dynamics and brain function (9 papers), stochastic dynamics and bifurcation (3 papers) and Functional Brain Connectivity Studies (2 papers). Felipe Gerhard is often cited by papers focused on Neural dynamics and brain function (9 papers), stochastic dynamics and bifurcation (3 papers) and Functional Brain Connectivity Studies (2 papers). Felipe Gerhard collaborates with scholars based in Switzerland, Germany and United States. Felipe Gerhard's co-authors include Wulfram Gerstner, Gordon Pipa, Sergio Neuenschwander, Bruss Lima, Henry Lütcke, Wilson Truccolo, Friedemann Zenke, Moritz Deger, Fritjof Helmchen and Eve Marder and has published in prestigious journals such as PLoS Computational Biology, Neural Computation and Frontiers in Neural Circuits.

In The Last Decade

Felipe Gerhard

9 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felipe Gerhard Switzerland 6 225 132 54 43 34 9 283
Sergey L. Gratiy United States 10 247 1.1× 149 1.1× 75 1.4× 20 0.5× 32 0.9× 15 388
Benjamin Staude Germany 7 294 1.3× 142 1.1× 41 0.8× 138 3.2× 58 1.7× 9 355
Jeremy Lewi United States 4 226 1.0× 110 0.8× 36 0.7× 30 0.7× 35 1.0× 6 281
Volker Pernice Germany 7 234 1.0× 97 0.7× 43 0.8× 114 2.7× 48 1.4× 10 363
Stefano Cardanobile Germany 11 280 1.2× 196 1.5× 92 1.7× 128 3.0× 51 1.5× 20 493
James M. Rebesco United States 7 317 1.4× 230 1.7× 60 1.1× 37 0.9× 9 0.3× 8 350
Andreas Schierwagen Germany 10 117 0.5× 114 0.9× 18 0.3× 26 0.6× 54 1.6× 26 231
Werner Van Geit Switzerland 11 287 1.3× 197 1.5× 98 1.8× 41 1.0× 38 1.1× 20 371
Sara Teller Spain 6 226 1.0× 189 1.4× 67 1.2× 58 1.3× 36 1.1× 10 335
Michael Vidne United States 6 207 0.9× 103 0.8× 23 0.4× 46 1.1× 50 1.5× 12 272

Countries citing papers authored by Felipe Gerhard

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Gerhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Gerhard

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

All Works

9 of 9 papers shown
1.
Gerhard, Felipe, Moritz Deger, & Wilson Truccolo. (2017). On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs. PLoS Computational Biology. 13(2). e1005390–e1005390. 35 indexed citations
2.
Gerhard, Felipe, Tilman Kispersky, Gabrielle J. Gutierrez, et al.. (2013). Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone. PLoS Computational Biology. 9(7). e1003138–e1003138. 57 indexed citations
3.
Lütcke, Henry, Felipe Gerhard, Friedemann Zenke, Wulfram Gerstner, & Fritjof Helmchen. (2013). Inference of neuronal network spike dynamics and topology from calcium imaging data. Frontiers in Neural Circuits. 7. 201–201. 61 indexed citations
4.
Gerhard, Felipe, et al.. (2012). Spline- and wavelet-based models of neural activity in response to natural visual stimulation. PubMed. 2012. 4611–4614. 1 indexed citations
5.
Gerhard, Felipe, Gordon Pipa, Bruss Lima, Sergio Neuenschwander, & Wulfram Gerstner. (2011). Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?. Frontiers in Computational Neuroscience. 5. 4–4. 84 indexed citations
6.
Gerhard, Felipe, Robert Haslinger, & Gordon Pipa. (2011). Applying the Multivariate Time-Rescaling Theorem to Neural Population Models. Neural Computation. 23(6). 1452–1483. 8 indexed citations
7.
Naud, Richard, Felipe Gerhard, Skander Mensi, & Wulfram Gerstner. (2011). Improved Similarity Measures for Small Sets of Spike Trains. Neural Computation. 23(12). 3016–3069. 29 indexed citations
8.
Gerhard, Felipe & Wulfram Gerstner. (2010). Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models. arXiv (Cornell University). 23. 703–711. 5 indexed citations
9.
Gerhard, Felipe, Cristina Savin, & Jochen Triesch. (2009). A robust biologically plausible implementation of ICA-like learning. The European Symposium on Artificial Neural Networks. 147–152. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sergey L. Gratiy Breakdown of academic impact, for papers by Benjamin Staude Breakdown of academic impact, for papers by Jeremy Lewi Breakdown of academic impact, for papers by Volker Pernice Breakdown of academic impact, for papers by Stefano Cardanobile Breakdown of academic impact, for papers by James M. Rebesco Breakdown of academic impact, for papers by Andreas Schierwagen Breakdown of academic impact, for papers by Werner Van Geit Breakdown of academic impact, for papers by Sara Teller Breakdown of academic impact, for papers by Michael Vidne
Rankless by CCL
2026