George Nagy
Impact in
-
- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Image Processing and 3D Reconstruction
- Image and Object Detection Techniques
- Face and Expression Recognition
- Media Technology top 0.5%
- Vehicle License Plate Recognition
Papers in
-
- Handwritten Text Recognition Techniques 66
- Image Retrieval and Classification Techniques 53
- Advanced Image and Video Retrieval Techniques 24
- Image Processing and 3D Reconstruction 20
- Image and Object Detection Techniques 13
-
- Algorithms and Data Compression 18
- Co-authors
- Sharad Seth (22 shared papers)R. G. Casey (4 shared papers)Mahesh Viswanathan (7 shared papers)David W. Embley (18 shared papers)Jie Zou (6 shared papers)Daniel Lopresti (24 shared papers)Qiang Ji (1 shared paper)Thomas A. Nartker (4 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (12 papers)International Journal on Document Analysis and Recognition (IJDAR) (7 papers)Computer (4 papers)Proceedings of the IEEE (4 papers)Pattern Recognition Letters (4 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
George Nagy
173 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 162
- Computer Vision and Pattern Recognition 2.7k
- Media Technology 486
- Signal Processing 484
- Artificial Intelligence 1.2k
- Computer Graphics and Computer-Aided Design 108
Countries citing papers authored by George Nagy
This map shows the geographic impact of George Nagy'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 Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Nagy more than expected).
Fields of papers citing papers by George Nagy
This network shows the impact of papers produced by George Nagy. 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 Nagy. The network helps show where George Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside George Nagy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 313 | |
| 2 | 1992 | 254 | |
| 3 | 2007 | 208 | |
| 4 | 1968 | 188 | |
| 5 | 2002 | 185 | |
| 6 | HIERARCHICAL REPRESENTATION OF OPTICALLY SCANNED DOCUMENTS | 1984 | 175 |
| 7 | 1971 | 108 | |
| 8 | 1993 | 95 | |
| 9 | 2006 | 83 | |
| 10 | 1979 | 81 | |
| 11 | 1966 | 80 | |
| 12 | 1992 | 80 | |
| 13 | 2005 | 79 | |
| 14 | 1999 | 75 | |
| 15 | 1974 | 67 | |
| 16 | 1995 | 63 | |
| 17 | 2006 | 55 | |
| 18 | 2004 | 54 | |
| 19 | 1999 | 54 | |
| 20 | 1981 | 53 |
About George Nagy
George Nagy is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Computer Networks and Communications, having authored 177 papers that have together received 4.0k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (66 papers), Image Retrieval and Classification Techniques (53 papers), Advanced Image and Video Retrieval Techniques (24 papers), Image Processing and 3D Reconstruction (20 papers), Algorithms and Data Compression (18 papers), Data Management and Algorithms (14 papers), Web Data Mining and Analysis (14 papers) and Image and Object Detection Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Media Technology (486 citations), Signal Processing (484 citations), Artificial Intelligence (1.2k citations) and Computer Graphics and Computer-Aided Design (108 citations). George Nagy has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Sharad Seth, R. G. Casey, Mahesh Viswanathan, David W. Embley, Jie Zou, Daniel Lopresti, Qiang Ji, Thomas A. Nartker, Stephen V. Rice and Mukkai S. Krishnamoorthy. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal on Document Analysis and Recognition (IJDAR), Computer, Proceedings of the IEEE and Pattern Recognition Letters.
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.