Vassileios Balntas
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Media Technology top 10%
- Control and Systems Engineering
- Co-authors
- Krystian MikolajczykEdgar RibaDaniel PonsaLilian TangCaner ŞahinRigas KouskouridasJuil SockTae‐Kyun Kim
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Robotics and Sensor-Based Localization (6 papers)Image Retrieval and Classification Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)View
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Vassileios Balntas
10 papers receiving 502 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 436
- Aerospace Engineering 240
- Artificial Intelligence 97
- Media Technology 44
- Control and Systems Engineering 36
Countries citing papers authored by Vassileios Balntas
This map shows the geographic impact of Vassileios Balntas'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 Vassileios Balntas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vassileios Balntas more than expected).
Fields of papers citing papers by Vassileios Balntas
This network shows the impact of papers produced by Vassileios Balntas. 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 Vassileios Balntas. The network helps show where Vassileios Balntas may publish in the future.
Co-authorship network of co-authors of Vassileios Balntas
This figure shows the co-authorship network connecting the top 25 collaborators of Vassileios Balntas. A scholar is included among the top collaborators of Vassileios Balntas 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 Vassileios Balntas. Vassileios Balntas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 34 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 27 | |
| 7 | 48 | |
| 8 | Learning local feature descriptors with triplets and shallow convolutional neural networksbreakdown → | 321 |
| 9 | 48 | |
| 10 | 2 |
About Vassileios Balntas
Vassileios Balntas is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology, having authored 10 papers that have together received 514 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Robotics and Sensor-Based Localization (6 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (436 citations), Aerospace Engineering (240 citations) and Media Technology (44 citations). Vassileios Balntas has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Krystian Mikolajczyk, Edgar Riba, Daniel Ponsa, Lilian Tang, Caner Şahin, Rigas Kouskouridas, Juil Sock, Tae‐Kyun Kim, Andreas Doumanoglou and Karel Lenc. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and View.
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.