Roman Bertolami
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- Handwritten Text Recognition Techniques 12
- Image Processing and 3D Reconstruction 4
- Image Retrieval and Classification Techniques 2
- Advanced Image and Video Retrieval Techniques 1
- Media Technology top 2%
- Vehicle License Plate Recognition 5
- Human-Computer Interaction top 5%
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 5
- Text and Document Classification Technologies 3
- Algorithms and Data Compression 3
- Signal Processing top 5%
- Co-authors
- Horst BunkeJürgen SchmidhuberS. George FernandezMarcus LiwickiAlexander GravesMatthias ZimmermannSeiichi UchidaAndreas Spitz
- Journals
- Pattern Recognition (1 paper)Pattern Recognition Letters (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Roman Bertolami
12 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 840
- Media Technology 208
- Human-Computer Interaction 123
- Artificial Intelligence 610
- Signal Processing 163
Countries citing papers authored by Roman Bertolami
This map shows the geographic impact of Roman Bertolami'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 Roman Bertolami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Bertolami more than expected).
Fields of papers citing papers by Roman Bertolami
This network shows the impact of papers produced by Roman Bertolami. 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 Roman Bertolami. The network helps show where Roman Bertolami may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Roman Bertolami, 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 | A Novel Connectionist System for Unconstrained Handwriting Recognitionbreakdown → | 2009 | 1312 |
| 2 | Including language model information in the combination of handwritten text line recognizers | 2008 | 2 |
| 3 | 2008 | 2 | |
| 4 | 2008 | 9 | |
| 5 | 2008 | 52 | |
| 6 | 2007 | 16 | |
| 7 | 2006 | 23 | |
| 8 | 2006 | 6 | |
| 9 | Combination of Multiple Handwritten Text Line Recognition Systems with a Recursive Approach | 2006 | 1 |
| 10 | 2006 | 7 | |
| 11 | 2005 | 4 | |
| 12 | 2004 | 7 |
About Roman Bertolami
Roman Bertolami is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Human-Computer Interaction and Infectious Diseases, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (12 papers), Natural Language Processing Techniques (5 papers), Vehicle License Plate Recognition (5 papers), Image Processing and 3D Reconstruction (4 papers), Text and Document Classification Technologies (3 papers), Algorithms and Data Compression (3 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (840 citations), Media Technology (208 citations), Human-Computer Interaction (123 citations), Artificial Intelligence (610 citations) and Signal Processing (163 citations). Roman Bertolami has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Horst Bunke, Jürgen Schmidhuber, S. George Fernandez, Marcus Liwicki, Alexander Graves, Matthias Zimmermann, Seiichi Uchida and Andreas Spitz. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Pattern Recognition and Artificial Intelligence and Proceedings of the International Conference on Document Analysis and Recognition.
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.