Dan F. M. Goodman

4.6k total citations · 2 hit papers
43 papers, 2.6k citations indexed

About

Dan F. M. Goodman is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Dan F. M. Goodman has authored 43 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 19 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Dan F. M. Goodman's work include Neural dynamics and brain function (22 papers), Advanced Memory and Neural Computing (19 papers) and Hearing Loss and Rehabilitation (11 papers). Dan F. M. Goodman is often cited by papers focused on Neural dynamics and brain function (22 papers), Advanced Memory and Neural Computing (19 papers) and Hearing Loss and Rehabilitation (11 papers). Dan F. M. Goodman collaborates with scholars based in France, United Kingdom and United States. Dan F. M. Goodman's co-authors include Romain Brette, Marcel Stimberg, Kenneth D. Harris, Shabnam Kadir, Victor Benichoux, Cyrille Rossant, Pier Luigi Dragotti, Andres Grosmark, Mariano Belluscio and Aman B. Saleem and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Dan F. M. Goodman

39 papers receiving 2.6k citations

Hit Papers

Spike sorting for large, dense electrode arrays 2016 2026 2019 2022 2016 2019 100 200 300 400 500
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. Spike sorting for large, dense electrode arrays
    2016 510 citations Cyrille Rossant, Shabnam Kadir et al. Nature Neuroscience profile →
  2. Brian 2, an intuitive and efficient neural simulator
    2019 389 citations Marcel Stimberg, Romain Brette et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan F. M. Goodman France 19 2.0k 1.2k 1.1k 415 158 43 2.6k
Sophie Denève France 29 3.1k 1.6× 759 0.6× 671 0.6× 558 1.3× 244 1.5× 58 3.6k
Christian K. Machens Portugal 27 3.0k 1.5× 1.3k 1.1× 607 0.5× 486 1.2× 137 0.9× 50 3.5k
Henning Sprekeler Germany 23 1.4k 0.7× 905 0.8× 632 0.6× 292 0.7× 62 0.4× 56 1.9k
Máté Lengyel United Kingdom 26 2.4k 1.2× 822 0.7× 359 0.3× 442 1.1× 85 0.5× 75 3.0k
Omri Barak Israel 20 2.9k 1.5× 1.1k 0.9× 635 0.6× 585 1.4× 99 0.6× 39 3.4k
Friedemann Zenke Switzerland 19 1.9k 0.9× 1.1k 0.9× 1.7k 1.5× 1.0k 2.4× 52 0.3× 30 3.0k
Ila Fiete United States 22 2.0k 1.0× 1.3k 1.1× 343 0.3× 329 0.8× 162 1.0× 47 2.5k
Sonja Grün Germany 29 2.8k 1.4× 1.5k 1.3× 412 0.4× 346 0.8× 151 1.0× 107 3.3k
Romain Brette France 29 2.7k 1.4× 1.7k 1.4× 1.4k 1.3× 453 1.1× 187 1.2× 99 3.6k
Shaul Druckmann United States 23 1.8k 0.9× 1.5k 1.3× 354 0.3× 177 0.4× 109 0.7× 43 2.7k

Countries citing papers authored by Dan F. M. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Dan F. M. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan F. M. Goodman. 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 Dan F. M. Goodman. The network helps show where Dan F. M. Goodman may publish in the future.

Co-authorship network of co-authors of Dan F. M. Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Dan F. M. Goodman. A scholar is included among the top collaborators of Dan F. M. Goodman 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 Dan F. M. Goodman. Dan F. M. Goodman 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.
Goodman, Dan F. M., et al.. (2025). Dynamics of specialization in neural modules under resource constraints. Nature Communications. 16(1). 187–187. 1 indexed citations
2.
Evans, Benjamin D., et al.. (2024). Adapting to time: Why nature may have evolved a diverse set of neurons. PLoS Computational Biology. 20(12). e1012673–e1012673. 2 indexed citations
3.
Ghosh, Marcus, et al.. (2024). Nonlinear fusion is optimal for a wide class of multisensory tasks. PLoS Computational Biology. 20(7). e1012246–e1012246.
4.
Su, Yaqing, Yoojin Chung, Dan F. M. Goodman, Kenneth E. Hancock, & Bertrand Delgutte. (2021). Rate and Temporal Coding of Regular and Irregular Pulse Trains in Auditory Midbrain of Normal-Hearing and Cochlear-Implanted Rabbits. Journal of the Association for Research in Otolaryngology. 22(3). 319–347. 3 indexed citations
5.
Zenke, Friedemann, Sander M. Bohté, Claudia Clopath, et al.. (2021). Visualizing a joint future of neuroscience and neuromorphic engineering. Neuron. 109(4). 571–575. 37 indexed citations
6.
Dragotti, Pier Luigi, et al.. (2021). Neural heterogeneity promotes robust learning. Nature Communications. 12(1). 5791–5791. 146 indexed citations
7.
Stimberg, Marcel, Dan F. M. Goodman, & Thomas Nowotny. (2020). Brian2GeNN: accelerating spiking neural network simulations with graphics hardware. Scientific Reports. 10(1). 29 indexed citations
8.
Goodman, Dan F. M., et al.. (2018). A VR-Based Mobile Platform for Training to Non-Individualized Binaural 3D Audio. Journal of the Audio Engineering Society. 1 indexed citations
9.
Dietz, Mathias, Piotr Majdak, Richard M. Stern, et al.. (2017). A framework for testing and comparing binaural models. Hearing Research. 360. 92–106. 15 indexed citations
10.
Rossant, Cyrille, Shabnam Kadir, Dan F. M. Goodman, et al.. (2016). Spike sorting for large, dense electrode arrays. Nature Neuroscience. 19(4). 634–641. 510 indexed citations breakdown →
11.
Stimberg, Marcel, Dan F. M. Goodman, Victor Benichoux, & Romain Brette. (2014). Equation-oriented specification of neural models for simulations. Frontiers in Neuroinformatics. 8. 6–6. 103 indexed citations
12.
Nowotny, Thomas, Alex Cope, Marcel Stimberg, et al.. (2014). SpineML and Brian 2.0 interfaces for using GPU enhanced Neuronal Networks (GeNN). BMC Neuroscience. 15(S1). 5 indexed citations
13.
Brette, Romain & Dan F. M. Goodman. (2012). Simulating spiking neural networks on GPU. Network Computation in Neural Systems. 23(4). 167–182. 48 indexed citations
14.
Kremer, Yves, Jean‐François Léger, Dan F. M. Goodman, Romain Brette, & Laurent Bourdieu. (2011). Late Emergence of the Vibrissa Direction Selectivity Map in the Rat Barrel Cortex. Journal of Neuroscience. 31(29). 10689–10700. 49 indexed citations
15.
Fontaine, Bertrand, Dan F. M. Goodman, Victor Benichoux, & Romain Brette. (2011). Brian Hears: Online Auditory Processing Using Vectorization Over Channels. Frontiers in Neuroinformatics. 5. 9–9. 21 indexed citations
16.
Rossant, Cyrille, Dan F. M. Goodman, Bertrand Fontaine, et al.. (2011). Fitting Neuron Models to Spike Trains. Frontiers in Neuroscience. 5. 9–9. 52 indexed citations
17.
Goodman, Dan F. M. & Romain Brette. (2010). Learning to localise sounds with spiking neural networks. Neural Information Processing Systems. 23. 784–792. 6 indexed citations
18.
Goodman, Dan F. M. & Romain Brette. (2010). Spike-Timing-Based Computation in Sound Localization. PLoS Computational Biology. 6(11). e1000993–e1000993. 17 indexed citations
19.
Goodman, Dan F. M.. (2008). Brian: a simulator for spiking neural networks in Python. Frontiers in Neuroinformatics. 2. 5–5. 361 indexed citations
20.
Goodman, Dan F. M.. (2006). Spirals in the boundary of slices of quasi-Fuchsian space. Conformal Geometry and Dynamics of the American Mathematical Society. 10(8). 136–158.

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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