Martin Rehn
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Friedrich T. SommerAnders LansnerMikael LundqvistMikael DjurfeldtSamy BengioGal ChechikChristopher JohanssonÖrjan Ekeberg
- Topics
- Neural dynamics and brain function (10 papers)Advanced Memory and Neural Computing (7 papers)Neural Networks and Applications (6 papers)
- Partner nations
- SwedenUnited States
In The Last Decade
Martin Rehn
14 papers receiving 384 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 259
- Electrical and Electronic Engineering 140
- Artificial Intelligence 120
- Signal Processing 108
- Cellular and Molecular Neuroscience 83
Countries citing papers authored by Martin Rehn
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 38 | |
| 3 | Sound Ranking Using Auditory Sparse-Code Representations | 5 |
| 4 | 66 | |
| 5 | 68 | |
| 6 | Recognition of handwritten digits using sparse codes generated by local feature extraction methods | 2 |
| 7 | 115 | |
| 8 | 2 | |
| 9 | 57 | |
| 10 | 15 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | Massively parallel simulation of brain-scale neuronal network models | 15 |
| 14 | 10 |
About Martin Rehn
Martin Rehn is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence, having authored 14 papers that have together received 410 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (7 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Cognitive Neuroscience (259 citations), Signal Processing (108 citations) and Cellular and Molecular Neuroscience (83 citations). Martin Rehn has collaborated with scholars based in Sweden and United States. Frequent 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. Their work appears in journals such as Neural Computation, Neurocomputing and IBM Journal of Research and Development.
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.