Fernando Pérez

10.4k total citations · 1 hit paper
60 papers, 3.8k citations indexed

About

Fernando Pérez is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Media Technology. According to data from OpenAlex, Fernando Pérez has authored 60 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Atmospheric Science and 8 papers in Media Technology. Recurrent topics in Fernando Pérez's work include Advanced Vision and Imaging (7 papers), Scientific Computing and Data Management (6 papers) and Distributed and Parallel Computing Systems (5 papers). Fernando Pérez is often cited by papers focused on Advanced Vision and Imaging (7 papers), Scientific Computing and Data Management (6 papers) and Distributed and Parallel Computing Systems (5 papers). Fernando Pérez collaborates with scholars based in Spain, United States and United Kingdom. Fernando Pérez's co-authors include Brian Granger, Mark D’Esposito, Emi Nomura, Caterina Gratton, Andrew S. Kayser, Renée M. Visser, Benjamin Ragan-Kelley, Matthias Bussonnier, Carol Willing and Jessica Zosa Forde and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Cognitive Neuroscience.

In The Last Decade

Fernando Pérez

58 papers receiving 3.6k citations

Hit Papers

IPython: A System for Interactive Scientific Computing 2007 2026 2013 2019 2007 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Pérez Spain 14 1.3k 500 397 395 299 60 3.8k
Brian Granger United States 17 1.3k 1.0× 118 0.2× 518 1.3× 392 1.0× 332 1.1× 30 3.8k
Michael J. Kurtz United States 31 1.8k 1.4× 109 0.2× 128 0.3× 865 2.2× 124 0.4× 157 3.4k
Travis E. Oliphant United States 11 367 0.3× 156 0.3× 451 1.1× 101 0.3× 283 0.9× 29 3.8k
Lior Shamir United States 21 403 0.3× 217 0.4× 210 0.5× 145 0.4× 427 1.4× 121 2.1k
G. Longo Italy 33 1.8k 1.4× 65 0.1× 221 0.6× 615 1.6× 781 2.6× 277 4.0k
Matteo Frigo United States 20 310 0.2× 159 0.3× 234 0.6× 59 0.1× 998 3.3× 43 7.4k
Lisandro Dalcín Saudi Arabia 21 306 0.2× 45 0.1× 185 0.5× 84 0.2× 348 1.2× 79 2.7k
Alex M. Andrew United Kingdom 17 219 0.2× 684 1.4× 421 1.1× 37 0.1× 1.6k 5.4× 152 5.3k
Anders Ynnerman Sweden 32 242 0.2× 173 0.3× 69 0.2× 21 0.1× 166 0.6× 169 2.9k
Viral B. Shah United States 12 167 0.1× 115 0.2× 333 0.8× 17 0.0× 529 1.8× 24 5.8k

Countries citing papers authored by Fernando Pérez

Since Specialization
Citations

This map shows the geographic impact of Fernando 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 Fernando Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Pérez more than expected).

Fields of papers citing papers by Fernando Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando 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 Fernando Pérez. The network helps show where Fernando Pérez may publish in the future.

Co-authorship network of co-authors of Fernando Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Pérez. A scholar is included among the top collaborators of Fernando 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 Fernando Pérez. Fernando 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
2.
Ao, Wai Kei, et al.. (2023). Novel FRF-based fast modal testing of multi-storey CLT building in operation using wirelessly synchronised data loggers. Journal of Sound and Vibration. 548. 117551–117551. 17 indexed citations
3.
Bhushan, Shashank, Maximillian Van Wyk de Vries, William Kochtitzky, et al.. (2023). GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking. ˜The œcryosphere. 17(9). 4063–4078. 5 indexed citations
4.
Azari, Abigail, D. L. Mitchell, John B. Biersteker, et al.. (2023). Magnetic Field Draping in Induced Magnetospheres: Evidence From the MAVEN Mission to Mars. Journal of Geophysical Research Space Physics. 128(11). 7 indexed citations
5.
Maussion, Fabien, et al.. (2023). Universal differential equations for glacier ice flow modelling. Geoscientific model development. 16(22). 6671–6687. 11 indexed citations
6.
Esposito, Luigi & Fernando Pérez. (2022). Place-Based and Experiential Pedagogies: Teaching radical concepts in social movements and political sociology. 15(3). 17–49. 1 indexed citations
7.
Pérez, Fernando, Airán Francés, R. Asensi, & J. Uceda. (2022). A Blackbox Modeling Approach for DC-DC Converters with Strong Nonlinear Dynamics Using an Improved Strategy for the Transition among Local Models. 2022 IEEE Energy Conversion Congress and Exposition (ECCE). 1–7. 2 indexed citations
8.
Jansen, Jack, et al.. (2020). A pipeline for multiparty volumetric video conferencing. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 341–344. 31 indexed citations
10.
Pipia, Luca, et al.. (2016). Two Decades of Multi-Sensor Subsidence Monitoring over Ebro Delta Using Coherence-Based DInSAR Techniques. ESASP. 740. 298. 1 indexed citations
11.
Sotillo, Marcos García, Emilio Garcı́a-Ladona, Alejandro Orfila, et al.. (2016). The MEDESS-GIB database: tracking the Atlantic water inflow. Earth system science data. 8(1). 141–149. 8 indexed citations
12.
Garcı́a-Ladona, Emilio, Josep Lluís Pelegrí, P. Elósegui, et al.. (2016). Thirty years of research and development of Lagrangian buoys at the Institute of Marine Sciences. Scientia Marina. 80(S1). 141–158. 5 indexed citations
13.
Pérez, Fernando. (2015). IPython: From Interactive Computing to Computational Narratives. 2 indexed citations
14.
Blumenfeld, Robert S., Daniel P. Bliss, Fernando Pérez, & Mark D’Esposito. (2013). CoCoTools: Open-source Software for Building Connectomes Using the CoCoMac Anatomical Database. Journal of Cognitive Neuroscience. 26(4). 722–745. 3 indexed citations
15.
Pérez, Fernando, Jordi Huguet, Ignacio Larrabide, et al.. (2013). RADStation3G: A platform for cardiovascular image analysis integrating PACS, 3D+t visualization and grid computing. Computer Methods and Programs in Biomedicine. 110(3). 399–410. 5 indexed citations
16.
Blanco, Pablo J., Xavier Goula, Román Arbiol, et al.. (2012). DInSAR Coseismic Deformation of the May 2011 M w 5.1 Lorca Earthquake (southeastern Spain). Solid Earth. 3(1). 111–119. 16 indexed citations
17.
Gratton, Caterina, Emi Nomura, Fernando Pérez, & Mark D’Esposito. (2012). Focal Brain Lesions to Critical Locations Cause Widespread Disruption of the Modular Organization of the Brain. Journal of Cognitive Neuroscience. 24(6). 1275–1285. 259 indexed citations
18.
Ragan-Kelley, Benjamin, William A. Walters, Daniel McDonald, et al.. (2012). Collaborative cloud-enabled tools allow rapid, reproducible biological insights. The ISME Journal. 7(3). 461–464. 16 indexed citations
19.
Palà, Vicenç, et al.. (1999). El sistema CASI-ICC: un sensor multiespectral aerotransportado con capacidades cartográficas. Hispana. 16. 2 indexed citations
20.
Maynard, Kenneth I., et al.. (1998). Avoiding stroke during cerebral arterial occlusion by temporarily blocking neuronal functions in the rabbit. Journal of Stroke and Cerebrovascular Diseases. 7(5). 287–295. 13 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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