Jonathan Masci

7.1k citations
26 papers · 3.8k · 3 hit papers · h-index 15

Impact in

Papers in

Jonathan Masci

25 papers receiving 3.7k citations

Jonathan Masci's Hit Papers

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs 2017 · 1.0k citations
1.0k0+5+10Years since publication2505007501000

Peers

Jonathan Masci
Comparison fields: 5 of 165
  • Computer Vision and Pattern Recognition 1.9k
  • Computer Graphics and Computer-Aided Design 172
  • Media Technology 370
  • Artificial Intelligence 1.2k
  • Industrial and Manufacturing Engineering 314
Replace Xiaonan Luo with:
Xiaonan Luo China
Longin Jan Latecki United States
Xiao Bai China
Samuel Rota Bulò Italy
Mathieu Salzmann Switzerland
Song Bai China
Václav Hlaváč Czechia
Ke Lü China
Mingli Song China
Sicheng Zhao China
Jonathan Masci relative to Xiaonan Luo China Xiaonan Luo's profile →
Citations per field
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Xiaonan Luo · 1×
Citations per year

Countries citing papers authored by Jonathan Masci

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Masci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Masci, 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 Jonathan Masci Line = papers co-authored together Jonathan Masci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
Hit paper breakdown →
20171005
2
Flexible, high performance convolutional neural networks for image classification
Hit paper breakdown →
2011814
3
Multi-column deep neural network for traffic sign classification
Hit paper breakdown →
2012694
4 2011263
5 2012244
6 2013199
7 2014137
8 2015125
9 201682
10 202044
11 201643
12 201342
13 201340
14 201631
15 201627
16 20199
17
Learning to Detect Objects with a 1 Megapixel Event Camera
20207
18 20236
19
Accelerating Neural ODEs with Spectral Elements.
20195
20
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
20184

About Jonathan Masci

Jonathan Masci is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 26 papers that have together received 3.8k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (7 papers), Advanced Neural Network Applications (6 papers), Industrial Vision Systems and Defect Detection (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Neural Networks and Applications (4 papers), Hand Gesture Recognition Systems (3 papers), Advanced Vision and Imaging (3 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Computer Graphics and Computer-Aided Design (172 citations), Media Technology (370 citations), Artificial Intelligence (1.2k citations) and Industrial and Manufacturing Engineering (314 citations). Jonathan Masci has collaborated with scholars based in Switzerland, Italy and France. Frequent co-authors include Jürgen Schmidhuber, Dan Cireşan, Ueli Meier, Michael M. Bronstein, Davide Boscaini, Luca Maria Gambardella, Emanuele Rodolà, Jan Svoboda, Federico Monti and Gabriel Fricout. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis, Neural Networks and reroDoc Digital Library.

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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