George Toderici

15.5k citations
36 papers · 8.6k · 3 hit papers · h-index 22

Impact in

Papers in

    • Face recognition and analysis 12
    • Face and Expression Recognition 10
    • Advanced Image and Video Retrieval Techniques 7
    • Video Analysis and Summarization 6
    • Advanced Image Processing Techniques 5
    • Image Retrieval and Classification Techniques 5
    • Human Pose and Action Recognition 4
    • Biometric Identification and Security 6

George Toderici

36 papers receiving 8.3k citations

George Toderici's Hit Papers

Beyond short snippets: Deep networks for video classification 2015 · 1.6k citations
1.6k0+4+8Years since publication10002.0k3.0k4.0k

Peers

George Toderici
Comparison fields: 5 of 171
  • Computer Vision and Pattern Recognition 7.0k
  • Human-Computer Interaction 675
  • Artificial Intelligence 3.2k
  • Signal Processing 1.0k
  • Biomedical Engineering 1.2k
Replace Lorenzo Torresani with:
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Junliang Xing China
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Hong Liu China
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George Toderici relative to Lorenzo Torresani United States Lorenzo Torresani's profile →
Citations per field
00.5×2.6×
Lorenzo Torresani · 1×
Citations per year

Countries citing papers authored by George Toderici

Since Specialization
Citations

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

Fields of papers citing papers by George Toderici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Large-Scale Video Classification with Convolutional Neural Networks
Hit paper breakdown →
20144734
2
Beyond short snippets: Deep networks for video classification
Hit paper breakdown →
20151559
3
Large-scale Video Classification with Convolutional Neural Networks
Hit paper breakdown →
2014622
4 2007348
5 2018244
6 2020199
7 2018192
8 200682
9 201074
10 200756
11 201652
12 200951
13 200545
14 201039
15 202339
16 200729
17 202228
18 200628
19 201028
20 200927

About George Toderici

George Toderici is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 36 papers that have together received 8.6k indexed citations. Recurring topics across this work include Face recognition and analysis (12 papers), Face and Expression Recognition (10 papers), Advanced Image and Video Retrieval Techniques (7 papers), Biometric Identification and Security (6 papers), Video Analysis and Summarization (6 papers), Advanced Image Processing Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.0k citations), Human-Computer Interaction (675 citations), Artificial Intelligence (3.2k citations), Signal Processing (1.0k citations) and Biomedical Engineering (1.2k citations). George Toderici has collaborated with scholars based in United States, Greece and Switzerland. Frequent co-authors include Rahul Sukthankar, Thomas Leung, Sanketh Shetty, Andrej Karpathy, Li Fei-Fei, Oriol Vinyals, Sudheendra Vijayanarasimhan, Matthew Hausknecht, Joe Yue-Hei Ng and Rajat Monga. Their work appears in journals such as International Journal of Computer Vision, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and Pattern Recognition.

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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