Maurice Weiler

1.4k total citations
7 papers, 261 citations indexed

About

Maurice Weiler is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Maurice Weiler has authored 7 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Geometry and Topology. Recurrent topics in Maurice Weiler's work include Advanced Neural Network Applications (2 papers), Neural Networks and Applications (1 paper) and Mathematical Analysis and Transform Methods (1 paper). Maurice Weiler is often cited by papers focused on Advanced Neural Network Applications (2 papers), Neural Networks and Applications (1 paper) and Mathematical Analysis and Transform Methods (1 paper). Maurice Weiler collaborates with scholars based in Netherlands, United States and Denmark. Maurice Weiler's co-authors include Martin Storath, Fred A. Hamprecht, Max Welling, Taco Cohen, Wouter Boomsma, Mario Geiger, Patrick Forré, Erik Verlinde, Bradley Dice and Jes Frellsen and has published in prestigious journals such as UvA-DARE (University of Amsterdam), arXiv (Cornell University) and WORLD SCIENTIFIC eBooks.

In The Last Decade

Maurice Weiler

7 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maurice Weiler Netherlands	4	158	61	60	28	26	7	261
Luca Calatroni France	10	144 0.9×	23 0.4×	97 1.6×	10 0.4×	21 0.8×	34	292
Raghav Subbarao United States	7	224 1.4×	58 1.0×	34 0.6×	91 3.3×	14 0.5×	9	309
Florian Becker Germany	9	84 0.5×	26 0.4×	39 0.7×	18 0.6×	26 1.0×	22	245
B. Morse United States	4	192 1.2×	21 0.3×	47 0.8×	22 0.8×	42 1.6×	6	307
Takuma Yamaguchi Japan	10	87 0.6×	58 1.0×	20 0.3×	9 0.3×	65 2.5×	33	309
Christophe Fiorio France	9	174 1.1×	24 0.4×	10 0.2×	32 1.1×	14 0.5×	24	272
Christine Scharlach Germany	6	136 0.9×	14 0.2×	41 0.7×	11 0.4×	30 1.2×	13	295
Erum Arif Khan United States	7	432 2.7×	24 0.4×	38 0.6×	24 0.9×	11 0.4×	8	518
Jérémy E. Cohen France	7	53 0.3×	22 0.4×	62 1.0×	8 0.3×	35 1.3×	21	232
Valentin De Bortoli France	7	63 0.4×	41 0.7×	41 0.7×	4 0.1×	29 1.1×	14	169

Countries citing papers authored by Maurice Weiler

Since Specialization

Citations

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

Fields of papers citing papers by Maurice Weiler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurice Weiler

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

All Works

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7 of 7 papers shown

1.

Weiler, Maurice, Patrick Forré, Erik Verlinde, & Max Welling. (2024). Equivariant and Coordinate Independent Convolutional Networks. WORLD SCIENTIFIC eBooks. 2 indexed citations

2.

Weiler, Maurice, et al.. (2021). A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels. 1 indexed citations

3.

Geiger, Mario, Tess Smidt, B. Miller, et al.. (2021). e3nn/e3nn: 2021-06-21. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

4.

Weiler, Maurice, et al.. (2019). General $E(2)$-Equivariant Steerable CNNs. arXiv (Cornell University). 32. 14334–14345. 22 indexed citations

5.

Cohen, Taco, et al.. (2019). Gauge Equivariant Convolutional Networks and the Icosahedral CNN. UvA-DARE (University of Amsterdam). 97. 1321–1330. 22 indexed citations

6.

Weiler, Maurice, Fred A. Hamprecht, & Martin Storath. (2018). Learning Steerable Filters for Rotation Equivariant CNNs. 849–858. 135 indexed citations

7.

Weiler, Maurice, Mario Geiger, Max Welling, Wouter Boomsma, & Taco Cohen. (2018). 3D steerable CNNs: learning rotationally equivariant features in volumetric data. UvA-DARE (University of Amsterdam). 31. 10402–10413. 78 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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