Luisa Micó
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Handwritten Text Recognition Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 10
- Image Retrieval and Classification Techniques 3
- Face and Expression Recognition 1
- Image Processing and 3D Reconstruction 1
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- Algorithms and Data Compression 11
- Machine Learning and Data Classification 1
- Co-authors
- José Oncina (14 shared papers)Rafael C. Carrasco (1 shared paper)Juan Ramón Rico-Juan (1 shared paper)Jorge Calvo-Zaragoza (1 shared paper)Enrique Vidal (1 shared paper)João Sanches (1 shared paper)Jaime S. Cardoso (1 shared paper)
In The Last Decade
Luisa Micó
13 papers receiving 206 citations
Peers
Comparison fields: 5 of 60
- Signal Processing 98
- Computer Vision and Pattern Recognition 119
- Artificial Intelligence 115
- Health Information Management 12
- Computer Graphics and Computer-Aided Design 7
Countries citing papers authored by Luisa Micó
This map shows the geographic impact of Luisa Micó'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 Luisa Micó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Micó more than expected).
Fields of papers citing papers by Luisa Micó
This network shows the impact of papers produced by Luisa Micó. 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 Luisa Micó. The network helps show where Luisa Micó may publish in the future.
Co-authors
The 7 scholars most cited alongside Luisa Micó, 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 | 1996 | 70 | |
| 2 | 2002 | 33 | |
| 3 | 2009 | 24 | |
| 4 | 2003 | 20 | |
| 5 | 1998 | 16 | |
| 6 | 2016 | 14 | |
| 7 | 2005 | 13 | |
| 8 | 2003 | 8 | |
| 9 | 2001 | 7 | |
| 10 | 2011 | 7 | |
| 11 | 2010 | 3 | |
| 12 | 2004 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2012 | 1 | |
| 15 | 2014 | 0 | |
| 16 | 2011 | 0 |
About Luisa Micó
Luisa Micó is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Neurology, having authored 16 papers that have together received 218 indexed citations. Recurring topics across this work include Algorithms and Data Compression (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Data Management and Algorithms (10 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Database Systems and Queries (2 papers), Face and Expression Recognition (1 paper), Image Processing and 3D Reconstruction (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Signal Processing (98 citations), Computer Vision and Pattern Recognition (119 citations), Artificial Intelligence (115 citations), Health Information Management (12 citations) and Computer Graphics and Computer-Aided Design (7 citations). Luisa Micó has collaborated with scholars based in Spain, Cuba and Mexico. Frequent co-authors include José Oncina, Rafael C. Carrasco, Juan Ramón Rico-Juan, Jorge Calvo-Zaragoza, Enrique Vidal, João Sanches and Jaime S. Cardoso. Their work appears in journals such as Pattern Recognition Letters, International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition, Neurocomputing and Lecture notes in computer science.
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.