Daniel Pérez
Impact in
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- Handwritten Text Recognition Techniques
- Data Visualization and Analytics
- Image Processing and 3D Reconstruction
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- Digital Transformation in Industry
Papers in
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- Data Visualization and Analytics 7
- Handwritten Text Recognition Techniques 3
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- Anomaly Detection Techniques and Applications 5
- Natural Language Processing Techniques 3
- Neural Networks and Applications 3
- Co-authors
- Manuel Domínguez (15 shared papers)Ignacio Díaz (13 shared papers)Miguel A. Prada (9 shared papers)Abel A. Cuadrado (8 shared papers)Juan J. Fuertes (8 shared papers)Serafín Alonso (10 shared papers)Antonio Morán (10 shared papers)Alfons Juan (3 shared papers)
In The Last Decade
Daniel Pérez
36 papers receiving 346 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 79
- Industrial and Manufacturing Engineering 24
- Artificial Intelligence 76
- Signal Processing 22
- Control and Systems Engineering 44
Countries citing papers authored by Daniel Pérez
This map shows the geographic impact of Daniel Pérez'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 Daniel Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Pérez more than expected).
Fields of papers citing papers by Daniel Pérez
This network shows the impact of papers produced by Daniel Pérez. 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 Daniel Pérez. The network helps show where Daniel Pérez may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Pérez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 62 | |
| 2 | 2021 | 28 | |
| 3 | 2009 | 25 | |
| 4 | 2022 | 20 | |
| 5 | 2015 | 16 | |
| 6 | 2020 | 14 | |
| 7 | 2018 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2014 | 13 | |
| 10 | 2011 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2010 | 9 | |
| 14 | 2016 | 9 | |
| 15 | 2013 | 9 | |
| 16 | The Decentralized Financial Crisis: Attacking DeFi. | 2020 | 8 |
| 17 | 2019 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2018 | 7 |
About Daniel Pérez
Daniel Pérez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 36 papers that have together received 354 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Building Energy and Comfort Optimization (6 papers), Time Series Analysis and Forecasting (5 papers), Anomaly Detection Techniques and Applications (5 papers), Fault Detection and Control Systems (3 papers), Natural Language Processing Techniques (3 papers), Neural Networks and Applications (3 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (79 citations), Industrial and Manufacturing Engineering (24 citations), Artificial Intelligence (76 citations), Signal Processing (22 citations) and Control and Systems Engineering (44 citations). Daniel Pérez has collaborated with scholars based in Spain, Belgium and Portugal. Frequent co-authors include Manuel Domínguez, Ignacio Díaz, Miguel A. Prada, Abel A. Cuadrado, Juan J. Fuertes, Serafín Alonso, Antonio Morán, Alfons Juan, Oriol Ramos Terrades and Ángel Piñeiro. Their work appears in journals such as Energy and Buildings, Sensors, Neural Computing and Applications, Integrated Computer-Aided Engineering and Computers in Industry.
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.