Edo Collins

534 total citations
7 papers, 269 citations indexed

About

Edo Collins is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Edo Collins has authored 7 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Edo Collins's work include Generative Adversarial Networks and Image Synthesis (4 papers), Stochastic Gradient Optimization Techniques (2 papers) and Computer Graphics and Visualization Techniques (2 papers). Edo Collins is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Stochastic Gradient Optimization Techniques (2 papers) and Computer Graphics and Visualization Techniques (2 papers). Edo Collins collaborates with scholars based in Switzerland and United States. Edo Collins's co-authors include Sabine Süsstrunk, Raja Bala, Bob Price, Frédé́ric Kaplan, Winston Haaswijk, Giovanni De Micheli, Mathias Soeken, Benoît Séguin, Lawrence Carin and David Carlson and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Edo Collins

7 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Edo Collins Switzerland	5	185	54	47	29	28	7	269
Zhuoran Song China	8	105 0.6×	70 1.3×	91 1.9×	25 0.9×	8 0.3×	48	220
Hongping Cai China	9	182 1.0×	52 1.0×	20 0.4×	14 0.5×	6 0.2×	10	232
Michael Figurnov United States	3	220 1.2×	153 2.8×	36 0.8×	11 0.4×	3 0.1×	4	268
Zhengyang Lu China	8	111 0.6×	24 0.4×	15 0.3×	70 2.4×	20 0.7×	28	215
N. Chaddha United States	8	264 1.4×	44 0.8×	26 0.6×	8 0.3×	103 3.7×	27	325
Vijay Kumar Sharma India	8	240 1.3×	46 0.9×	14 0.3×	8 0.3×	4 0.1×	24	288
Ruizhou Ding United States	8	159 0.9×	142 2.6×	49 1.0×	5 0.2×	4 0.1×	12	231
Jaydeb Bhaumik India	10	121 0.7×	39 0.7×	79 1.7×	33 1.1×	2 0.1×	47	222
Ahmed Selim Ireland	8	124 0.7×	55 1.0×	93 2.0×	2 0.1×	48 1.7×	12	279

Countries citing papers authored by Edo Collins

Since Specialization

Citations

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

Fields of papers citing papers by Edo Collins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edo Collins

This figure shows the co-authorship network connecting the top 25 collaborators of Edo Collins. A scholar is included among the top collaborators of Edo Collins 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 Edo Collins. Edo Collins 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.

Tonioni, Alessio, et al.. (2023). NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. 2880–2890. 2 indexed citations

2.

Collins, Edo, Raja Bala, Bob Price, & Sabine Süsstrunk. (2020). Editing in Style: Uncovering the Local Semantics of GANs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5770–5779. 162 indexed citations

3.

Collins, Edo & Sabine Süsstrunk. (2019). Deep Feature Factorization for Content-Based Image Retrieval and Localization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 874–878. 4 indexed citations

4.

Haaswijk, Winston, Edo Collins, Benoît Séguin, et al.. (2018). Deep Learning for Logic Optimization Algorithms. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–4. 52 indexed citations

5.

Collins, Edo, et al.. (2017). Color representation in deep neural networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2786–2790. 18 indexed citations

6.

Carlson, David, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, & Volkan Cevher. (2015). Preconditioned spectral descent for deep learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 28. 2971–2979. 16 indexed citations

7.

Carlson, David, Ya-Ping Hsieh, Edo Collins, Lawrence Carin, & Volkan Cevher. (2015). Stochastic Spectral Descent for Discrete Graphical Models. IEEE Journal of Selected Topics in Signal Processing. 10(2). 296–311. 15 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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