Martin Rehn

628 total citations
14 papers, 410 citations indexed

About

Martin Rehn is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Martin Rehn has authored 14 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Martin Rehn's work include Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (7 papers) and Neural Networks and Applications (6 papers). Martin Rehn is often cited by papers focused on Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (7 papers) and Neural Networks and Applications (6 papers). Martin Rehn collaborates with scholars based in Sweden and United States. Martin Rehn's co-authors include Friedrich T. Sommer, Anders Lansner, Mikael Lundqvist, Mikael Djurfeldt, Samy Bengio, Gal Chechik, Christopher Johansson, Örjan Ekeberg, Eugene Ie and Richard F. Lyon and has published in prestigious journals such as Neural Computation, Neurocomputing and IBM Journal of Research and Development.

In The Last Decade

Martin Rehn

14 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Rehn Sweden	9	259	140	120	108	83	14	410
David H. Goldberg United States	13	194 0.7×	198 1.4×	53 0.4×	59 0.5×	135 1.6×	20	412
Yan Karklin United States	6	267 1.0×	27 0.2×	80 0.7×	78 0.7×	32 0.4×	11	414
Jasmine Collins United States	4	275 1.1×	53 0.4×	101 0.8×	15 0.1×	97 1.2×	6	419
Seif Eldawlatly Egypt	11	360 1.4×	92 0.7×	64 0.5×	54 0.5×	191 2.3×	59	462
Taku Yoshioka Japan	7	472 1.8×	20 0.1×	81 0.7×	77 0.7×	50 0.6×	16	604
Urs Köster United States	7	73 0.3×	35 0.3×	80 0.7×	46 0.4×	23 0.3×	8	236
M.S. Lazar Canada	4	253 1.0×	54 0.4×	46 0.4×	104 1.0×	84 1.0×	7	326
Yuwei Cui United States	8	261 1.0×	71 0.5×	89 0.7×	21 0.2×	112 1.3×	9	372
DeLiang L. Wang United States	5	221 0.9×	63 0.5×	111 0.9×	184 1.7×	33 0.4×	8	416
Morteza Alamgir Germany	7	342 1.3×	99 0.7×	80 0.7×	90 0.8×	122 1.5×	10	481

Countries citing papers authored by Martin Rehn

Since Specialization

Citations

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

Fields of papers citing papers by Martin Rehn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Rehn

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

All Works

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14 of 14 papers shown

Rehn, Martin, et al.. (2011). A hybrid model of the primary visual cortex. BMC Neuroscience. 12(S1). 1 indexed citations

Lyon, Richard F., Martin Rehn, Samy Bengio, Thomas C. Walters, & Gal Chechik. (2010). Sound Retrieval and Ranking Using Sparse Auditory Representations. Neural Computation. 22(9). 2390–2416. 38 indexed citations

Rehn, Martin, Richard F. Lyon, Samy Bengio, Thomas C. Walters, & Gal Chechik. (2009). Sound Ranking Using Auditory Sparse-Code Representations. 5 indexed citations

Chechik, Gal, et al.. (2008). Large-scale content-based audio retrieval from text queries. 105–112. 66 indexed citations

Djurfeldt, Mikael, Mikael Lundqvist, Christopher Johansson, et al.. (2008). Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer. IBM Journal of Research and Development. 52(1.2). 31–41. 68 indexed citations

Steinert, Rebecca, Martin Rehn, & Anders Lansner. (2006). Recognition of handwritten digits using sparse codes generated by local feature extraction methods. The European Symposium on Artificial Neural Networks. 161–166. 2 indexed citations

Rehn, Martin & Friedrich T. Sommer. (2006). A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. Journal of Computational Neuroscience. 22(2). 135–146. 115 indexed citations

Rehn, Martin & Friedrich T. Sommer. (2006). Storing and restoring visual input with collaborative rank coding and associative memory. Neurocomputing. 69(10-12). 1219–1223. 15 indexed citations

Lundqvist, Mikael, Martin Rehn, Mikael Djurfeldt, & Anders Lansner. (2006). Attractor dynamics in a modular network model of neocortex. Network Computation in Neural Systems. 17(3). 253–276. 57 indexed citations

10.

Johansson, Christopher, Martin Rehn, & Anders Lansner. (2006). Attractor neural networks with patchy connectivity. Neurocomputing. 69(7-9). 627–633. 11 indexed citations

11.

Huss, Mikael & Martin Rehn. (2006). Tonically driven and self-sustaining activity in the lamprey hemicord: When can they co-exist?. Neurocomputing. 70(10-12). 1882–1886. 2 indexed citations

12.

Lundqvist, Mikael, Martin Rehn, & Anders Lansner. (2006). Attractor dynamics in a modular network model of the cerebral cortex. Neurocomputing. 69(10-12). 1155–1159. 5 indexed citations

13.

Djurfeldt, Mikael, Christopher Johansson, Örjan Ekeberg, et al.. (2005). Massively parallel simulation of brain-scale neuronal network models. KTH Publication Database DiVA (KTH Royal Institute of Technology). 15 indexed citations

14.

Rehn, Martin & Anders Lansner. (2004). Sequence memory with dynamical synapses. Neurocomputing. 58-60. 271–278. 10 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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