T. Pavlidis
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 1%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Topics
- Image and Object Detection Techniques (14 papers)Advanced Image and Video Retrieval Techniques (14 papers)Medical Image Segmentation Techniques (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- NatureIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic Control
- Partner nations
- United StatesTaiwanSpain
In The Last Decade
T. Pavlidis
48 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 139
- Computer Vision and Pattern Recognition 1.6k
- Media Technology 295
- Artificial Intelligence 267
- Information Systems 238
- Signal Processing 174
Countries citing papers authored by T. Pavlidis
This map shows the geographic impact of T. 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 T. Pavlidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Pavlidis more than expected).
Fields of papers citing papers by T. Pavlidis
This network shows the impact of papers produced by T. 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 T. Pavlidis. The network helps show where T. Pavlidis may publish in the future.
Co-authorship network of co-authors of T. Pavlidis
This figure shows the co-authorship network connecting the top 25 collaborators of T. Pavlidis. A scholar is included among the top collaborators of T. 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 T. Pavlidis. T. 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 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 16 | |
| 10 | 25 | |
| 11 | Graphics recognition - algorithms and systems - general conclusions | 7 |
| 12 | 43 | |
| 13 | 23 | |
| 14 | Models and inference | 1 |
| 15 | 54 | |
| 16 | 10 | |
| 17 | 29 | |
| 18 | 384 | |
| 19 | 48 | |
| 20 | 3 |
About T. Pavlidis
T. Pavlidis is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Information Systems, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include Image and Object Detection Techniques (14 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Medical Image Segmentation Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Computer Graphics and Computer-Aided Design (130 citations) and Media Technology (295 citations). T. Pavlidis has collaborated with scholars based in United States, Taiwan and Spain. Frequent co-authors include Yuh-Tay Liow, S. Tanimoto, Jairo Rocha, Liping Wang, E.I. Jury, D. Lee, John Mylopoulos, Huihui Feng, Fu Chang and Stephen J. Shellhammer. Their work appears in journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.
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.