Sander Keemink

503 total citations
10 papers, 260 citations indexed

About

Sander Keemink is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Sander Keemink has authored 10 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Sander Keemink's work include Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (4 papers) and Visual perception and processing mechanisms (2 papers). Sander Keemink is often cited by papers focused on Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (4 papers) and Visual perception and processing mechanisms (2 papers). Sander Keemink collaborates with scholars based in Germany, United Kingdom and Netherlands. Sander Keemink's co-authors include Nathalie L. Rochefort, Scott Lowe, Janelle M.P. Pakan, Evelyn Dylda, Stephen P. Currie, Christopher A. Coutts, Mark C. W. van Rossum, Christian K. Machens, Pablo Lanillos and Clémens Boucsein and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Sander Keemink

9 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sander Keemink Germany	5	207	170	41	21	19	10	260
Keisuke Ota Japan	9	273 1.3×	196 1.2×	47 1.1×	33 1.6×	22 1.2×	28	412
Jonathan V. Gill United States	3	206 1.0×	177 1.0×	41 1.0×	25 1.2×	11 0.6×	6	273
Ivana Oršolić United Kingdom	6	351 1.7×	240 1.4×	45 1.1×	18 0.9×	18 0.9×	6	422
Daniel Millman United States	7	231 1.1×	181 1.1×	41 1.0×	36 1.7×	12 0.6×	8	324
Alexander Attinger Switzerland	4	354 1.7×	220 1.3×	38 0.9×	19 0.9×	14 0.7×	5	391
Luis Carlos García del Molino United Kingdom	4	173 0.8×	126 0.7×	78 1.9×	19 0.9×	47 2.5×	5	293
Tamás Tompa Hungary	9	245 1.2×	168 1.0×	35 0.9×	13 0.6×	36 1.9×	13	330
Katie Ferguson Canada	11	301 1.5×	291 1.7×	80 2.0×	23 1.1×	7 0.4×	19	432
Takahiro Noda Japan	9	274 1.3×	183 1.1×	23 0.6×	12 0.6×	10 0.5×	26	370
Paul G. Fahey United States	8	152 0.7×	126 0.7×	98 2.4×	13 0.6×	25 1.3×	10	284

Countries citing papers authored by Sander Keemink

Since Specialization

Citations

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

Fields of papers citing papers by Sander Keemink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sander Keemink

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

All Works

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10 of 10 papers shown

Keemink, Sander, et al.. (2025). Kozax: Flexible and Scalable Genetic Programming in JAX. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 603–606.

Keemink, Sander, et al.. (2024). Gradient-free training of recurrent neural networks using random perturbations. Frontiers in Neuroscience. 18. 1439155–1439155. 2 indexed citations

Keemink, Sander, et al.. (2023). Closed-Form Control With Spike Coding Networks. IEEE Transactions on Cognitive and Developmental Systems. 16(5). 1677–1687. 6 indexed citations

Nardin, Michele, et al.. (2021). Nonlinear computations in spiking neural networks through multiplicative synapses. SHILAP Revista de lepidopterología. 1. 3 indexed citations

Keemink, Sander, et al.. (2020). Understanding spiking networks through convex optimization. Neural Information Processing Systems. 33. 8824–8835. 7 indexed citations

Keemink, Sander & Christian K. Machens. (2019). Decoding and encoding (de)mixed population responses. Current Opinion in Neurobiology. 58. 112–121. 17 indexed citations

Keemink, Sander, Scott Lowe, Janelle M.P. Pakan, et al.. (2018). FISSA: A neuropil decontamination toolbox for calcium imaging signals. Scientific Reports. 8(1). 3493–3493. 50 indexed citations

Keemink, Sander, Clémens Boucsein, & Mark C. W. van Rossum. (2018). Effects of V1 surround modulation tuning on visual saliency and the tilt illusion. Journal of Neurophysiology. 120(3). 942–952. 3 indexed citations

Pakan, Janelle M.P., Scott Lowe, Evelyn Dylda, et al.. (2016). Behavioral-state modulation of inhibition is context-dependent and cell type specific in mouse visual cortex. eLife. 5. 168 indexed citations

10.

Keemink, Sander & Mark C. W. van Rossum. (2015). A unified account of tilt illusions, association fields, and contour detection based on elastica. Vision Research. 126. 164–173. 4 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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