Daniel Pérez

635 total citations
36 papers, 354 citations indexed

About

Daniel Pérez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Daniel Pérez has authored 36 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Daniel Pérez's work include Data Visualization and Analytics (7 papers), Building Energy and Comfort Optimization (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Daniel Pérez is often cited by papers focused on Data Visualization and Analytics (7 papers), Building Energy and Comfort Optimization (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Daniel Pérez collaborates with scholars based in Spain, Belgium and United Kingdom. Daniel Pérez's co-authors include Manuel Domí­nguez, Ignacio Díaz, Miguel A. Prada, Antonio Morán, Abel A. Cuadrado, Juan J. Fuertes, Serafí­n Alonso, Alfons Juan, Oriol Ramos Terrades and Philippe Dumas and has published in prestigious journals such as Analytical Biochemistry, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Daniel Pérez

36 papers receiving 346 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Pérez Spain 11 79 76 71 52 44 36 354
Mingyan Jiang China 14 66 0.8× 184 2.4× 77 1.1× 40 0.8× 58 1.3× 66 485
Yanchun Li China 9 103 1.3× 59 0.8× 49 0.7× 30 0.6× 15 0.3× 36 313
Pradnya Vikhar India 3 47 0.6× 106 1.4× 39 0.5× 16 0.3× 29 0.7× 3 289
Chandrashekhar Azad India 8 76 1.0× 206 2.7× 49 0.7× 31 0.6× 30 0.7× 30 461
Jiangtao Ma China 11 52 0.7× 158 2.1× 30 0.4× 66 1.3× 41 0.9× 38 387
Dheeb Albashish Jordan 10 68 0.9× 214 2.8× 31 0.4× 36 0.7× 29 0.7× 20 345
Bharti Khemani India 4 56 0.7× 92 1.2× 31 0.4× 24 0.5× 20 0.5× 7 305
Alexander Karlsson Sweden 10 40 0.5× 132 1.7× 19 0.3× 98 1.9× 44 1.0× 37 418
Sajjad Nematzadeh Türkiye 11 72 0.9× 163 2.1× 79 1.1× 50 1.0× 30 0.7× 22 469
Hongjiang Wang China 9 47 0.6× 71 0.9× 138 1.9× 16 0.3× 60 1.4× 47 334

Countries citing papers authored by Daniel Pérez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pérez. A scholar is included among the top collaborators of Daniel Pérez 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 Daniel Pérez. Daniel Pérez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pérez, Daniel, et al.. (2024). Conditioned fully convolutional denoising autoencoder for multi-target NILM. Neural Computing and Applications. 37(17). 10491–10505. 3 indexed citations
2.
Alonso, Serafí­n, Antonio Morán, Daniel Pérez, et al.. (2023). Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder. Integrated Computer-Aided Engineering. 31(2). 157–172. 9 indexed citations
3.
Morán, Antonio, et al.. (2023). Echo State Networks for anomaly detection in industrial systems. IFAC-PapersOnLine. 56(2). 1472–1477. 3 indexed citations
4.
Domí­nguez, Manuel, Daniel Pérez, Antonio Morán, et al.. (2022). Remote training in cybersecurity for industrial control systems. IFAC-PapersOnLine. 55(17). 320–325. 3 indexed citations
5.
Alonso, Serafí­n, Antonio Morán, Daniel Pérez, et al.. (2021). Virtual sensor for probabilistic estimation of the evaporation in cooling towers. Integrated Computer-Aided Engineering. 28(4). 369–381. 4 indexed citations
6.
Fuertes, Juan J., et al.. (2021). Environment for Education on Industry 4.0. IEEE Access. 9. 144395–144405. 28 indexed citations
7.
Gudgeon, Lewis, Daniel Pérez, Dominik Harz, Arthur Gervais, & Benjamin Livshits. (2020). The Decentralized Financial Crisis: Attacking DeFi.. arXiv (Cornell University). 8 indexed citations
8.
Piñeiro, Ángel, Eva Muñoz, Juan Sabín, et al.. (2019). AFFINImeter: A software to analyze molecular recognition processes from experimental data. Analytical Biochemistry. 577. 117–134. 62 indexed citations
9.
Muñoz, Eva, Juan Sabín, Daniel Pérez, et al.. (2019). Thermodynamic and Kinetic Analysis of Isothermal Titration Calorimetry Experiments by Using KinITC in AFFINImeter. Methods in molecular biology. 1964. 225–239. 7 indexed citations
10.
Alonso, Serafí­n, Daniel Pérez, Antonio Morán, et al.. (2019). A Deep Learning Approach for Fusing Sensor Data from Screw Compressors. Sensors. 19(13). 2868–2868. 8 indexed citations
11.
Pérez, Daniel, et al.. (2018). Interactive data visualization of chatter conditions in a cold rolling mill. Computers in Industry. 103. 86–96. 7 indexed citations
12.
Pérez, Daniel, et al.. (2018). Automatic measurement of fish size using stereo vision. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 1–6. 13 indexed citations
13.
Abdel-Hafiz, Hany, et al.. (2018). SUMOylation Regulates Transcription by the Progesterone Receptor A Isoform in a Target Gene Selective Manner. Diseases. 6(1). 5–5. 7 indexed citations
14.
Lecron, Fabian, Zacharie De Grève, François Vallée, et al.. (2017). Using matrix factorisation for the prediction of electrical quantities. CIRED - Open Access Proceedings Journal. 2017(1). 2568–2571. 2 indexed citations
15.
Díaz, Ignacio, et al.. (2014). Interactive Dimensionality Reduction for Visual Analytics. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations
16.
Pérez, Daniel, Leishi Zhang, Matthias Schaefer, et al.. (2014). Interactive feature space extension for multidimensional data projection. Neurocomputing. 150. 611–626. 13 indexed citations
17.
Pérez, Daniel, Leishi Zhang, Matthias Schaefer, et al.. (2013). Interactive Visualization and Feature Transformation for Multidimensional Data Projection. KOPS (University of Konstanz). 21–25. 2 indexed citations
18.
Pérez, Daniel, et al.. (2010). The GIDOC Prototype. 82–89. 9 indexed citations
19.
Pérez, Daniel, et al.. (2009). The GERMANA Database. 301–305. 25 indexed citations
20.
Pérez, Daniel, et al.. (2008). Training kit for power electronics teaching. UPCommons institutional repository (Universitat Politècnica de Catalunya). 3541–3545. 6 indexed citations

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.

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