Tony Ezzat

1.2k citations
20 papers · 896 · h-index 13

Impact in

Papers in

Tony Ezzat

20 papers receiving 806 citations

Peers

Tony Ezzat
Comparison fields: 5 of 60
  • Signal Processing 488
  • Computer Vision and Pattern Recognition 634
  • Control and Systems Engineering 232
  • Human-Computer Interaction 44
  • Experimental and Cognitive Psychology 94
Replace Yu Ding with:
Yu Ding China
Lincheng Li China
Zhimeng Zhang China
Rogério Feris United States
Satoru Fukayama Japan
Masahide Kaneko Japan
K R Prajwal India
Barry-John Theobald United Kingdom
Geoffroy Peeters France
Rudrabha Mukhopadhyay India
Tony Ezzat relative to Yu Ding China Yu Ding's profile →
Citations per field
00.5×2.6×
Yu Ding · 1×
Citations per year

Countries citing papers authored by Tony Ezzat

Since Specialization
Citations

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

Fields of papers citing papers by Tony Ezzat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Tony Ezzat, 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 Tony Ezzat Line = papers co-authored together Tony Ezzat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2002238
2 2000108
3 2002104
4 2002100
5 200760
6 200445
7 200839
8 200537
9 200234
10 200226
11
Discriminative word-spotting using ordered spectro-temporal patch features.
200824
12 201015
13 200512
14 201012
15 200712
16
Videorealistic talking faces: a morphing approach.
19979
17
Phonetic Classification Using Hierarchical, Feed-forward, Spectro-temporal Patch-based Architectures
20078
18 20067
19 20065
20 20111

About Tony Ezzat

Tony Ezzat is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering and Media Technology, having authored 20 papers that have together received 896 indexed citations. Recurring topics across this work include Speech and Audio Processing (12 papers), Advanced Vision and Imaging (6 papers), Music and Audio Processing (5 papers), Blind Source Separation Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Human Motion and Animation (3 papers), Human Pose and Action Recognition (3 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Signal Processing (488 citations), Computer Vision and Pattern Recognition (634 citations), Control and Systems Engineering (232 citations), Human-Computer Interaction (44 citations) and Experimental and Cognitive Psychology (94 citations). Tony Ezzat has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Tomaso Poggio, Jake Bouvrie, Yao‐Jen Chang, Gad Geiger, Eric Cosatto, Hans Peter Graf, Bhiksha Raj, Sundararajan Srinivasan, Kaustubh Kalgaonkar and Arthur R. Toth. Their work appears in journals such as International Journal of Computer Vision, ACM Transactions on Graphics, Conference of the International Speech Communication Association, AVSP and Defense Technical Information Center (DTIC).

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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