Sageev Oore

910 citations
32 papers · 419 · h-index 11

Impact in

Papers in

Sageev Oore

29 papers receiving 396 citations

Peers

Sageev Oore
Comparison fields: 5 of 87
  • Human-Computer Interaction 57
  • Computer Vision and Pattern Recognition 189
  • Artificial Intelligence 122
  • Control and Systems Engineering 84
  • Signal Processing 33
Replace Yosuke Matsusaka with:
Yosuke Matsusaka Japan
Eri Sato-Shimokawara Japan
Nicoletta Noceti Italy
Colleen E. McCarthy United States
Hartwig Holzapfel Germany
Xiangdong Li China
Sotiris Manitsaris France
Michał Podpora Poland
Fabio Zambetta Australia
Hyong-Euk Lee South Korea
Sageev Oore relative to Yosuke Matsusaka Japan Yosuke Matsusaka's profile →
Citations per field
00.5×10×15×20×24×
Yosuke Matsusaka · 1×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202390
2 199746
3
Detecting Out-of-Distribution Examples with Gram Matrices
202043
4 200639
5 200239
6 202028
7 200225
8 202314
9 200514
10 202313
11 202110
12 20088
13 20175
14 20055
15
Learning to Create Piano Performances
20175
16 20214
17
Learning to Synthesize Arm Motion to Music By Example
20064
18 20224
19 20244
20
Learning Latent Representations of Music to Generate Interactive Musical Palettes
20183

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 32 papers that have together received 419 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), Human Motion and Animation (4 papers), Emotion and Mood Recognition (4 papers), Mental Health via Writing (2 papers), Obstructive Sleep Apnea Research (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Human-Computer Interaction (57 citations), Computer Vision and Pattern Recognition (189 citations), Artificial Intelligence (122 citations), Control and Systems Engineering (84 citations) and Signal Processing (33 citations). Sageev Oore has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Geoffrey E. Hinton, Demetri Terzopoulos, Tovi Grossman, Bryan Wang, Maurício Sousa, Gregory Dudek, Rudolf Uher, Renato A. Krohling, André G. C. Pacheco and Thomas Trappenberg. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Scientific Reports, Multimedia Tools and Applications, Frontiers in Marine Science and Harvard Review of Psychiatry.

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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