Matthias Oster

700 citations
13 papers · 506 · h-index 10

Impact in

Papers in

Matthias Oster

13 papers receiving 491 citations

Peers

Matthias Oster
Comparison fields: 5 of 56
  • Cognitive Neuroscience 253
  • Cellular and Molecular Neuroscience 239
  • Electrical and Electronic Engineering 432
  • Artificial Intelligence 91
  • Computer Vision and Pattern Recognition 30
Replace R. Paz-Vicente with:
R. Paz-Vicente Spain
Johannes Partzsch Germany
Carlos Zamarreño-Ramos Spain
R. Serrano-Gotarredona Spain
Yanqi Chen China
Milad Mozafari France
Yansong Chua China
De Ma China
Shih-Chii Liu Switzerland
X. Arreguit Switzerland
Matthias Oster relative to R. Paz-Vicente Spain R. Paz-Vicente's profile →
Citations per field
00.5×1.5×
R. Paz-Vicente · 1×
Citations per year

Countries citing papers authored by Matthias Oster

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Oster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Matthias Oster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthias Oster Line = papers co-authored together Matthias Oster links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2009237
2 200982
3
AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems
200555
4 200527
5 200824
6
Spiking Inputs to a Winner-take-all Network
200516
7 200616
8 200713
9 202112
10 200712
11 20066
12 20075
13 20061

About Matthias Oster

Matthias Oster is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Organic Chemistry and Artificial Intelligence, having authored 13 papers that have together received 506 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Neuroscience and Neural Engineering (9 papers), Neural dynamics and brain function (7 papers), CCD and CMOS Imaging Sensors (6 papers), Oxidative Organic Chemistry Reactions (1 paper), Catalytic C–H Functionalization Methods (1 paper), Analog and Mixed-Signal Circuit Design (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (253 citations), Cellular and Molecular Neuroscience (239 citations), Electrical and Electronic Engineering (432 citations), Artificial Intelligence (91 citations) and Computer Vision and Pattern Recognition (30 citations). Matthias Oster has collaborated with scholars based in Switzerland, Spain and Norway. Frequent co-authors include Shih‐Chii Liu, Rodney J. Douglas, Shih-Chii Liu, Alejandro Linares-Barranco, B. Linares-Barranco, G. Jiménez, P. Lichtsteiner, Tobi Delbrück, R. Paz-Vicente and F. Gómez-Rodríguez. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, Neurocomputing, Dalton Transactions, Neural Computation and Zurich Open Repository and Archive (University of Zurich).

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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