Marc Osswald

897 total citations · 1 hit paper
9 papers, 605 citations indexed

About

Marc Osswald is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials and Cognitive Neuroscience. According to data from OpenAlex, Marc Osswald has authored 9 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Mechanics of Materials and 3 papers in Cognitive Neuroscience. Recurrent topics in Marc Osswald's work include Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (3 papers) and Adhesion, Friction, and Surface Interactions (3 papers). Marc Osswald is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (3 papers) and Adhesion, Friction, and Surface Interactions (3 papers). Marc Osswald collaborates with scholars based in Switzerland and France. Marc Osswald's co-authors include Giacomo Indiveri, Hesham Mostafa, Federico Corradi, Fabio Stefanini, Ning Qiao, Fumiya Iida, Sio-Hoï Ieng, Ryad Benosman, Daniel R. A. Schallmo and Gürkan Gür and has published in prestigious journals such as Scientific Reports, Frontiers in Neuroscience and Robotics and Autonomous Systems.

In The Last Decade

Marc Osswald

7 papers receiving 594 citations

Hit Papers

A reconfigurable on-line learning spiking neuromorphic pr... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Osswald Switzerland 5 528 275 242 150 53 9 605
Xiangpeng Liang United Kingdom 11 518 1.0× 270 1.0× 95 0.4× 359 2.4× 187 3.5× 26 759
J. A. Pérez‐Carrasco Spain 9 800 1.5× 391 1.4× 433 1.8× 113 0.8× 37 0.7× 21 882
Stefan Scholze Germany 12 345 0.7× 143 0.5× 166 0.7× 83 0.6× 46 0.9× 32 416
Ying Yao China 8 320 0.6× 212 0.8× 392 1.6× 34 0.2× 207 3.9× 24 585
Linh Hoang Australia 8 404 0.8× 185 0.7× 335 1.4× 177 1.2× 237 4.5× 13 696
Rajkumar Kubendran United States 9 723 1.4× 101 0.4× 212 0.9× 146 1.0× 73 1.4× 26 808
Zefan Li China 9 626 1.2× 64 0.2× 304 1.3× 133 0.9× 29 0.5× 13 819
Peng Yan United States 10 1.5k 2.8× 294 1.1× 636 2.6× 286 1.9× 58 1.1× 13 1.6k
Rodolphe Héliot France 11 281 0.5× 185 0.7× 196 0.8× 54 0.4× 110 2.1× 29 444

Countries citing papers authored by Marc Osswald

Since Specialization
Citations

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

Fields of papers citing papers by Marc Osswald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Osswald

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

All Works

9 of 9 papers shown
1.
Osswald, Marc, et al.. (2025). Anomaly Detection in Microservices Architecture Using Graph Neural Networks. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 560–567.
2.
Ieng, Sio-Hoï, et al.. (2018). Neuromorphic Event-Based Generalized Time-Based Stereovision. Frontiers in Neuroscience. 12. 442–442. 21 indexed citations
3.
Osswald, Marc, Sio-Hoï Ieng, Ryad Benosman, & Giacomo Indiveri. (2017). A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems. Scientific Reports. 7(1). 40703–40703. 66 indexed citations
4.
Qiao, Ning, Hesham Mostafa, Federico Corradi, et al.. (2015). A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses. Frontiers in Neuroscience. 9. 141–141. 469 indexed citations breakdown →
5.
Mostafa, Hesham, Federico Corradi, Marc Osswald, & Giacomo Indiveri. (2013). Automated synthesis of asynchronous event-based interfaces for neuromorphic systems. 47. 1–4. 3 indexed citations
6.
Osswald, Marc & Fumiya Iida. (2013). Design and control of a climbing robot based on hot melt adhesion. Robotics and Autonomous Systems. 61(6). 616–625. 30 indexed citations
7.
Schallmo, Daniel R. A., et al.. (2013). An approach for decommodisation: evaluating and escaping the commodity trap.
8.
Osswald, Marc & Fumiya Iida. (2011). A climbing robot based on Hot Melt Adhesion. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2 indexed citations
9.
Osswald, Marc & Fumiya Iida. (2011). A climbing robot based on Hot Melt Adhesion. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 5107–5112. 14 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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