Sageev Oore

29 papers receiving 360 citations

Peers

Sageev Oore
Comparison fields: 5 of 93
  • Human-Computer Interaction 56
  • Computer Vision and Pattern Recognition 182
  • Artificial Intelligence 117
  • Control and Systems Engineering 84
  • Signal Processing 33
Replace Yosuke Matsusaka with:
Yosuke Matsusaka Japan
Eri Sato-Shimokawara Japan
Michał Podpora Poland
Colleen E. McCarthy United States
Nicoletta Noceti Italy
Pei-Ying Chiang Taiwan
Hartwig Holzapfel Germany
Sven Magg Germany
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Citations per year

Countries citing papers authored by Sageev Oore

Since Specialization
Citations

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

Fields of papers citing papers by Sageev Oore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202368
2 199746
3
Detecting Out-of-Distribution Examples with Gram Matrices
202041
4 200639
5 200239
6 202027
7 200225
8 200514
9 202312
10 202310
11 20219
12 20087
13 20055
14 20175
15
Learning to Create Piano Performances
20175
16
Learning to Synthesize Arm Motion to Music By Example
20064
17 20224
18 20214
19
Learning Latent Representations of Music to Generate Interactive Musical Palettes
20183
20 20083

About Sageev Oore

Sageev Oore is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing and Control and Systems Engineering, having authored 31 papers that have together received 384 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (8 papers), Music and Audio Processing (5 papers), Video Analysis and Summarization (5 papers), Emotion and Mood Recognition (4 papers), Human Motion and Animation (4 papers), Mental Health via Writing (2 papers), Interactive and Immersive Displays (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Human-Computer Interaction (56 citations), Computer Vision and Pattern Recognition (182 citations), Artificial Intelligence (117 citations), Control and Systems Engineering (84 citations) and Signal Processing (33 citations). Sageev Oore has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Geoffrey E. Hinton, Demetri Terzopoulos, Gregory Dudek, Tovi Grossman, Bryan Wang, Maurício Sousa, Rudolf Uher, Thomas Trappenberg, André G. C. Pacheco and Renato A. Krohling. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Scientific Reports, Mathematics and Mechanics of Solids, Structural and Multidisciplinary Optimization and Cryobiology.

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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