George Bebis

10.4k citations
235 papers · 8.2k · 3 hit papers · h-index 45

Impact in

Papers in

George Bebis

229 papers receiving 7.7k citations

George Bebis's Hit Papers

Vision-based hand pose estimation: A review 2007 · 677 citations
6770+10+21Years since publication250500750

Peers

George Bebis
Comparison fields: 5 of 178
  • Computer Vision and Pattern Recognition 5.7k
  • Human-Computer Interaction 871
  • Media Technology 1.1k
  • Automotive Engineering 1.2k
  • Signal Processing 991
Replace Ying Wu with:
Ying Wu United States
Theo Gevers Netherlands
Jenq–Neng Hwang United States
Pedro F. Felzenszwalb United States
Shi‐Min Hu China
Alberto Del Bimbo Italy
L.S. Davis United States
Sanja Fidler Canada
Stephen J. Maybank United Kingdom
Song‐Chun Zhu United States
George Bebis relative to Ying Wu United States Ying Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by George Bebis

Since Specialization
Citations

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

Fields of papers citing papers by George Bebis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On-road vehicle detection: a review
Hit paper breakdown →
2006919
2
Vision-based hand pose estimation: A review
Hit paper breakdown →
2007677
3
Feed-forward neural networks
Hit paper breakdown →
1994507
4 2004229
5 2006226
6 2005199
7 2012191
8 2013167
9 2003164
10 2003157
11 2006146
12 2005144
13 2003138
14 2008136
15 2005133
16 2016116
17 2004106
18 2011100
19 200394
20 200385

About George Bebis

George Bebis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Aerospace Engineering, having authored 235 papers that have together received 8.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (41 papers), Advanced Image and Video Retrieval Techniques (33 papers), Video Surveillance and Tracking Methods (33 papers), Image Retrieval and Classification Techniques (31 papers), Image Processing Techniques and Applications (23 papers), Biometric Identification and Security (23 papers), AI in cancer detection (20 papers) and Face recognition and analysis (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.7k citations), Human-Computer Interaction (871 citations), Media Technology (1.1k citations), Automotive Engineering (1.2k citations) and Signal Processing (991 citations). George Bebis has collaborated with scholars based in United States, Saudi Arabia and China. Frequent co-authors include Ronald H. Miller, Zehang Sun, Michael Georgiopoulos, Muhammad Hussain, Ghulam Muhammad, Mircea Nicolescu, Ali Erol, Xander Twombly, Richard D. Boyle and Zhenglun Sun. Their work appears in journals such as Machine Vision and Applications, Computer Vision and Image Understanding, Lecture notes in computer science, Pattern Recognition and Image and Vision Computing.

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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