Oren Rippel

1.4k total citations
4 papers, 164 citations indexed

About

Oren Rippel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Oren Rippel has authored 4 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Oren Rippel's work include Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Oren Rippel is often cited by papers focused on Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Oren Rippel collaborates with scholars based in United States and United Kingdom. Oren Rippel's co-authors include Ryan P. Adams, Jasper Snoek, Zoubin Ghahramani, David Duvenaud, Michael A. Gelbart, Bruno A. Olshausen, Tsachy Weissman, Kedar Tatwawadi, Sachin Katti and Lubomir Bourdev and has published in prestigious journals such as Journal of Machine Learning Research and arXiv (Cornell University).

In The Last Decade

Oren Rippel

4 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oren Rippel United States	3	94	84	22	17	13	4	164
Luke Metz United States	5	139 1.5×	104 1.2×	17 0.8×	5 0.3×	8 0.6×	12	223
Hanshu Yan Singapore	7	144 1.5×	104 1.2×	17 0.8×	6 0.4×	12 0.9×	11	235
Tarek Elguebaly Canada	9	131 1.4×	179 2.1×	25 1.1×	23 1.4×	5 0.4×	16	285
Jelena Luketina Switzerland	4	34 0.4×	69 0.8×	13 0.6×	12 0.7×	7 0.5×	4	143
Samaneh Azadi United States	7	133 1.4×	60 0.7×	14 0.6×	8 0.5×	12 0.9×	11	204
Ziqi Huang Singapore	6	169 1.8×	40 0.5×	19 0.9×	7 0.4×	10 0.8×	11	221
Danlu Chen United States	2	138 1.5×	100 1.2×	7 0.3×	17 1.0×	9 0.7×	3	188
Shell Xu Hu United Kingdom	6	86 0.9×	125 1.5×	6 0.3×	11 0.6×	22 1.7×	9	186
Mianjie Li China	8	126 1.3×	61 0.7×	76 3.5×	11 0.6×	16 1.2×	27	311

Countries citing papers authored by Oren Rippel

Since Specialization

Citations

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

Fields of papers citing papers by Oren Rippel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oren Rippel

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

All Works

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4 of 4 papers shown

1.

Tatwawadi, Kedar, Oren Rippel, Lubomir Bourdev, et al.. (2022). An Interactive Annotation Tool for Perceptual Video Compression. 13. 1–6. 1 indexed citations

2.

Rippel, Oren, Jasper Snoek, & Ryan P. Adams. (2015). Spectral Representations for Convolutional Neural Networks. arXiv (Cornell University). 28. 2449–2457. 116 indexed citations

3.

Duvenaud, David, Oren Rippel, Ryan P. Adams, & Zoubin Ghahramani. (2014). Avoiding pathologies in very deep networks. Journal of Machine Learning Research. 202–210. 30 indexed citations

4.

Rippel, Oren, Michael A. Gelbart, & Ryan P. Adams. (2014). Learning Ordered Representations with Nested Dropout. arXiv (Cornell University). 1746–1754. 17 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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