Verónica Romero
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Media Technology top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Enrique VidalAlejandro H. ToselliJoan Andreu SánchezMauricio VillegasVolkmar FrinkenCarlos-D. Martínez-HinarejosAlícia FornésJosep Lladós
- Topics
- Handwritten Text Recognition Techniques (53 papers)Natural Language Processing Techniques (35 papers)Image Processing and 3D Reconstruction (21 papers)
- Partner nations
- SpainUnited StatesGreece
In The Last Decade
Verónica Romero
56 papers receiving 671 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 630
- Artificial Intelligence 330
- Signal Processing 102
- Media Technology 101
- Human-Computer Interaction 62
Countries citing papers authored by Verónica Romero
This map shows the geographic impact of Verónica Romero'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 Verónica Romero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verónica Romero more than expected).
Fields of papers citing papers by Verónica Romero
This network shows the impact of papers produced by Verónica Romero. 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 Verónica Romero. The network helps show where Verónica Romero may publish in the future.
Co-authorship network of co-authors of Verónica Romero
This figure shows the co-authorship network connecting the top 25 collaborators of Verónica Romero. A scholar is included among the top collaborators of Verónica Romero 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 Verónica Romero. Verónica Romero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 48 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 40 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | Handwritten Text Recognition for Ancient Documents | 6 |
| 19 | 57 | |
| 20 | 4 |
About Verónica Romero
Verónica Romero is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 59 papers that have together received 717 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (53 papers), Natural Language Processing Techniques (35 papers) and Image Processing and 3D Reconstruction (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (630 citations), Media Technology (101 citations) and Human-Computer Interaction (62 citations). Verónica Romero has collaborated with scholars based in Spain, United States and Greece. Frequent co-authors include Enrique Vidal, Alejandro H. Toselli, Joan Andreu Sánchez, Mauricio Villegas, Volkmar Frinken, Carlos-D. Martínez-Hinarejos, Alícia Fornés, Josep Lladós, Vicent Alabau and Nicolás Serrano. Their work appears in journals such as Pattern Recognition, Information Sciences and Neurocomputing.
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.