Andrew D. Bagdanov
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 1%
- Media Technology top 0.5%
- Biomedical Engineering
- Aerospace Engineering top 5%
- Co-authors
- Joost van de WeijerXialei LiuAlberto Del BimboIacopo MasiDìmosthenis KaratzasMarc MasanaAnguelos NicolaouAntonio M. López
- Topics
- Advanced Image and Video Retrieval Techniques (25 papers)Video Surveillance and Tracking Methods (20 papers)Image Retrieval and Classification Techniques (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- 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
- Artificial Intelligence 1.2k
- Media Technology 830
- Biomedical Engineering 207
- Aerospace Engineering 198
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 of co-authors of Andrew D. Bagdanov
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Bagdanov. A scholar is included among the top collaborators of Andrew D. Bagdanov 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 Andrew D. Bagdanov. Andrew D. Bagdanov 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | Class-incremental learning: survey and performance evaluation | 46 |
| 8 | 4 | |
| 9 | 203 | |
| 10 | 0 | |
| 11 | Multipage document retrieval by textual and visual representations | 12 |
| 12 | 49 | |
| 13 | Fusing Global and Local Scale for Semantic Image Segmentation | 4 |
| 14 | 19 | |
| 15 | 216 | |
| 16 | 1 | |
| 17 | Style characterization of machine printed texts | 4 |
| 18 | 5 | |
| 19 | 29 | |
| 20 | Searching in document images: what does the appearance of a document tell us about what it means? | 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) and Image Retrieval and Classification Techniques (18 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 SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.