Javier Resano

985 total citations
42 papers, 721 citations indexed

About

Javier Resano is a scholar working on Hardware and Architecture, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Javier Resano has authored 42 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hardware and Architecture, 15 papers in Computer Networks and Communications and 11 papers in Media Technology. Recurrent topics in Javier Resano's work include Embedded Systems Design Techniques (18 papers), Parallel Computing and Optimization Techniques (17 papers) and Interconnection Networks and Systems (13 papers). Javier Resano is often cited by papers focused on Embedded Systems Design Techniques (18 papers), Parallel Computing and Optimization Techniques (17 papers) and Interconnection Networks and Systems (13 papers). Javier Resano collaborates with scholars based in Spain, Belgium and United Kingdom. Javier Resano's co-authors include Daniel Mozos, Carlos González, Antonio Plaza, Francky Catthoor, Juan Antonio Clemente, Sebastián López, Tanya Vladimirova, Abel Paz, Sergio Sánchez and Diederik Verkest and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Geoscience and Remote Sensing and Analytica Chimica Acta.

In The Last Decade

Javier Resano

40 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Resano Spain 15 289 215 187 179 152 42 721
Daniel Mozos Spain 17 370 1.3× 319 1.5× 191 1.0× 253 1.4× 294 1.9× 66 951
Carlos González Spain 15 379 1.3× 84 0.4× 194 1.0× 79 0.4× 304 2.0× 39 741
José F. López Spain 18 269 0.9× 62 0.3× 108 0.6× 70 0.4× 339 2.2× 89 807
Shaoteng Liu China 10 425 1.5× 57 0.3× 214 1.1× 117 0.7× 436 2.9× 34 779
Raúl Guerra Spain 16 335 1.2× 15 0.1× 111 0.6× 25 0.1× 229 1.5× 43 644
Jarno Mielikäinen United States 18 175 0.6× 27 0.1× 298 1.6× 74 0.4× 1.2k 7.6× 56 1.6k
Zhen Guo China 22 44 0.2× 99 0.5× 51 0.3× 126 0.7× 36 0.2× 53 1.3k
Shao-Shan Chiang Taiwan 9 560 1.9× 7 0.0× 291 1.6× 132 0.7× 166 1.1× 24 847
Fan Mo China 16 42 0.1× 117 0.5× 41 0.2× 73 0.4× 115 0.8× 97 765
David Valencia Spain 12 315 1.1× 8 0.0× 169 0.9× 44 0.2× 146 1.0× 40 542

Countries citing papers authored by Javier Resano

Since Specialization
Citations

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

Fields of papers citing papers by Javier Resano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Resano

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Resano. A scholar is included among the top collaborators of Javier Resano 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 Javier Resano. Javier Resano 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
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Bérail, Sylvain, Luis Rello, Flávio V. Nakadi, et al.. (2022). Cu fractionation, isotopic analysis, and data processing via machine learning: new approaches for the diagnosis and follow up of Wilson's disease via ICP-MS. Journal of Analytical Atomic Spectrometry. 38(1). 229–242. 2 indexed citations
4.
Resano, Javier, et al.. (2021). Improving accuracy on wave height estimation through machine learning techniques. Ocean Engineering. 236. 108699–108699. 42 indexed citations
5.
Haut, Juan M., et al.. (2020). GPU-Friendly Neural Networks for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 8 indexed citations
6.
Paoletti, Mercedes E., et al.. (2020). Inference in Supervised Spectral Classifiers for On-Board Hyperspectral Imaging: An Overview. Remote Sensing. 12(3). 534–534. 36 indexed citations
7.
Resano, Javier, et al.. (2020). Analysis of a Pipelined Architecture for Sparse DNNs on Embedded Systems. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(9). 1993–2003. 10 indexed citations
8.
Muñoz, Adolfo, Ana C. Murillo, Eduardo Montijano, et al.. (2019). Exposing Abstraction-Level Interactions with a Parallel Ray Tracer. 1–8. 1 indexed citations
9.
Clemente, Juan Antonio, et al.. (2015). Hardware Architectural Support for Caching Partitioned Reconfigurations in Reconfigurable Systems. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 24(2). 530–543. 7 indexed citations
10.
López, Sebastián, Tanya Vladimirova, Carlos González, et al.. (2013). The Promise of Reconfigurable Computing for Hyperspectral Imaging Onboard Systems: A Review and Trends. Proceedings of the IEEE. 101(3). 698–722. 79 indexed citations
11.
González, Carlos, Sergio Sánchez, Abel Paz, et al.. (2012). Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing. Integration. 46(2). 89–103. 72 indexed citations
12.
González, Carlos, Daniel Mozos, Javier Resano, & Antonio Plaza. (2011). FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed Hyperspectral Image Analysis. IEEE Transactions on Geoscience and Remote Sensing. 50(2). 374–388. 59 indexed citations
13.
González, Carlos, Daniel Mozos, Javier Resano, & Antonio Plaza. (2010). FPGA for Computing the Pixel Purity Index Algorithm on Hyperspectral Images.. 293. 6 indexed citations
14.
Clemente, Juan Antonio, Carlos González, Javier Resano, & Daniel Mozos. (2010). A task graph execution manager for reconfigurable multi-tasking systems. Microprocessors and Microsystems. 34(2-4). 73–83. 10 indexed citations
15.
González, Carlos, et al.. (2009). An initial specific processor for Sudoku solving. 530–533. 4 indexed citations
16.
Chaver, Daniel, et al.. (2009). Implementation of a hardware branch-predictor evaluation platform based on FPGAs. 44–47. 1 indexed citations
17.
Resano, Javier, et al.. (2007). Reducing the reconfiguration overhead: a survey of techniques.. 191–194. 5 indexed citations
18.
Resano, Javier, et al.. (2006). A configuration memory hierarchy for fast reconfiguration with reduced energy consumption overhead. 8 pp.–8 pp.. 2 indexed citations
19.
Resano, Javier, Daniel Mozos, & Francky Catthoor. (2005). A Hybrid Prefetch Scheduling Heuristic to Minimize at Run-Time the Reconfiguration Overhead of Dynamically Reconfigurable Hardware. Design, Automation, and Test in Europe. 106–111. 42 indexed citations
20.
Resano, Javier, et al.. (2003). Analyzing communication overheads during hardware/software partitioning. Microelectronics Journal. 34(11). 1001–1007. 2 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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