Andrés Marzal
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Signal Processing top 10%
- Information Systems top 10%
- Co-authors
- Enrique VidalJuan Miguel VilarSergio BarrachinaG. PerisDavid LlorensCarlos MesejoCarmina ReigManuel Agustí
- Topics
- Natural Language Processing Techniques (6 papers)Algorithms and Data Compression (6 papers)Time Series Analysis and Forecasting (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsNew Phytologist
- Partner nations
- SpainItalyUnited Kingdom
In The Last Decade
Andrés Marzal
26 papers receiving 394 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 222
- Computer Vision and Pattern Recognition 166
- Molecular Biology 77
- Signal Processing 70
- Information Systems 52
Countries citing papers authored by Andrés Marzal
This map shows the geographic impact of Andrés Marzal'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 Andrés Marzal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrés Marzal more than expected).
Fields of papers citing papers by Andrés Marzal
This network shows the impact of papers produced by Andrés Marzal. 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 Andrés Marzal. The network helps show where Andrés Marzal may publish in the future.
Co-authorship network of co-authors of Andrés Marzal
This figure shows the co-authorship network connecting the top 25 collaborators of Andrés Marzal. A scholar is included among the top collaborators of Andrés Marzal 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 Andrés Marzal. Andrés Marzal 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 | 2 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | The UJIpenchars Database: a Pen-Based Database of Isolated Handwritten Characters. | 32 |
| 10 | 5 | |
| 11 | An input panel and recognition engine for on-line handwritten text recognition | 3 |
| 12 | Electronic tools for vocational guidance and counseling | 1 |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 25 | |
| 17 | 6 | |
| 18 | 8 | |
| 19 | 37 | |
| 20 | 196 |
About Andrés Marzal
Andrés Marzal is a scholar working on Horticulture, Computer Vision and Pattern Recognition and Signal Processing, having authored 27 papers that have together received 437 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Algorithms and Data Compression (6 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (166 citations), Artificial Intelligence (222 citations) and Signal Processing (70 citations). Andrés Marzal has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Enrique Vidal, Juan Miguel Vilar, Sergio Barrachina, G. Peris, David Llorens, Carlos Mesejo, Carmina Reig, Manuel Agustí, R. Marı́n and A. Martínez‐Fuentes. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and New Phytologist.
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.