Andrew D. Bagdanov
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- Advanced Image and Video Retrieval Techniques 25
- Video Surveillance and Tracking Methods 20
- Image Retrieval and Classification Techniques 18
- Handwritten Text Recognition Techniques 13
- Human Pose and Action Recognition 12
- Advanced Neural Network Applications 11
- Multimodal Machine Learning Applications 10
- Media Technology top 0.5%
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 15
- Human-Computer Interaction top 5%
- Signal Processing top 5%
- Co-authors
- Joost van de WeijerXialei LiuAlberto Del BimboIacopo MasiDìmosthenis KaratzasMarc MasanaAnguelos NicolaouAntonio M. López
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)Pattern Recognition Letters (4 papers)International Journal on Document Analysis and Recognition (IJDAR) (3 papers)
- Partner nations
- ItalySpainNetherlands
In The Last Decade
Andrew D. Bagdanov
84 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 3.4k
- Media Technology 830
- Artificial Intelligence 1.2k
- Human-Computer Interaction 94
- Signal Processing 168
Countries citing papers authored by Andrew D. Bagdanov
This map shows the geographic impact of Andrew D. Bagdanov'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 Andrew D. Bagdanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew D. Bagdanov more than expected).
Fields of papers citing papers by Andrew D. Bagdanov
This network shows the impact of papers produced by Andrew D. Bagdanov. 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 Andrew D. Bagdanov. The network helps show where Andrew D. Bagdanov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew D. Bagdanov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2020 | 17 | |
| 7 | Class-incremental learning: survey and performance evaluation | 2020 | 46 |
| 8 | 2019 | 4 | |
| 9 | 2018 | 203 | |
| 10 | 2017 | 0 | |
| 11 | Multipage document retrieval by textual and visual representations | 2012 | 12 |
| 12 | 2011 | 49 | |
| 13 | Fusing Global and Local Scale for Semantic Image Segmentation | 2011 | 4 |
| 14 | 2007 | 19 | |
| 15 | 2006 | 216 | |
| 16 | 2006 | 1 | |
| 17 | Style characterization of machine printed texts | 2004 | 4 |
| 18 | 2003 | 5 | |
| 19 | 2002 | 29 | |
| 20 | Searching in document images: what does the appearance of a document tell us about what it means? | 2001 | 2 |
About Andrew D. Bagdanov
Andrew D. Bagdanov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 88 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (25 papers), Video Surveillance and Tracking Methods (20 papers), Image Retrieval and Classification Techniques (18 papers), Domain Adaptation and Few-Shot Learning (15 papers), Handwritten Text Recognition Techniques (13 papers), Human Pose and Action Recognition (12 papers), Advanced Neural Network Applications (11 papers) and Multimodal Machine Learning Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Media Technology (830 citations) and Artificial Intelligence (1.2k citations). Andrew D. Bagdanov has collaborated with scholars based in Italy, Spain and Netherlands. Frequent co-authors include Joost van de Weijer, Xialei Liu, Alberto Del Bimbo, Iacopo Masi, Dìmosthenis Karatzas, Marc Masana, Anguelos Nicolaou, Antonio M. López, Lluís Gómez and Theo Gevers. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters, International Journal on Document Analysis and Recognition (IJDAR), International Journal of Computer Vision and IEEE Transactions on Image Processing.
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.