Theo Pavlidis
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Co-authors
- Simon KahanHenry S. BairdYuh-Tay LiowChristopher J. Van WykJiangying ZhouGeorge WolbergHorst BunkeAlberto Sanfeliu
- Topics
- Handwritten Text Recognition Techniques (13 papers)Image Retrieval and Classification Techniques (11 papers)Medical Image Segmentation Techniques (8 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionPattern Recognition Letters
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Theo Pavlidis
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 1.1k
- Media Technology 215
- Computer Graphics and Computer-Aided Design 207
- Artificial Intelligence 193
- Computational Mechanics 100
Countries citing papers authored by Theo Pavlidis
This map shows the geographic impact of Theo Pavlidis'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 Theo Pavlidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theo Pavlidis more than expected).
Fields of papers citing papers by Theo Pavlidis
This network shows the impact of papers produced by Theo Pavlidis. 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 Theo Pavlidis. The network helps show where Theo Pavlidis may publish in the future.
Co-authorship network of co-authors of Theo Pavlidis
This figure shows the co-authorship network connecting the top 25 collaborators of Theo Pavlidis. A scholar is included among the top collaborators of Theo Pavlidis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Theo Pavlidis. Theo Pavlidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 29 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 52 | |
| 11 | 2 | |
| 12 | 28 | |
| 13 | 120 | |
| 14 | Image analysis | 7 |
| 15 | 258 | |
| 16 | 11 | |
| 17 | 107 | |
| 18 | 2 | |
| 19 | Algorithms for Graphics and Imag | 157 |
| 20 | 51 |
About Theo Pavlidis
Theo Pavlidis is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (13 papers), Image Retrieval and Classification Techniques (11 papers) and Medical Image Segmentation Techniques (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (207 citations), Computer Vision and Pattern Recognition (1.1k citations) and Media Technology (215 citations). Theo Pavlidis has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Simon Kahan, Henry S. Baird, Yuh-Tay Liow, Christopher J. Van Wyk, Jiangying Zhou, George Wolberg, Horst Bunke, Alberto Sanfeliu, Jianying Hu and Jairo Rocha. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition 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.