Koldo Basterretxea

648 total citations
39 papers, 440 citations indexed

About

Koldo Basterretxea is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Koldo Basterretxea has authored 39 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 12 papers in Control and Systems Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Koldo Basterretxea's work include Fuzzy Logic and Control Systems (10 papers), Neural Networks and Applications (10 papers) and Advanced Memory and Neural Computing (7 papers). Koldo Basterretxea is often cited by papers focused on Fuzzy Logic and Control Systems (10 papers), Neural Networks and Applications (10 papers) and Advanced Memory and Neural Computing (7 papers). Koldo Basterretxea collaborates with scholars based in Spain and United Kingdom. Koldo Basterretxea's co-authors include I. del Campo, Javier Echanobe, Faiyaz Doctor, V. Sanchez Martinez, Khaled Benkrid, Unai Ugalde, Rafael Bárcena, Eduardo Alonso and Estibaliz Asua and has published in prestigious journals such as Automatica, IEEE Transactions on Intelligent Transportation Systems and Applied Soft Computing.

In The Last Decade

Koldo Basterretxea

37 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koldo Basterretxea Spain 12 217 121 97 88 66 39 440
Javier Echanobe Spain 15 244 1.1× 110 0.9× 113 1.2× 117 1.3× 42 0.6× 48 552
Mukul Sutaone India 10 124 0.6× 124 1.0× 163 1.7× 29 0.3× 58 0.9× 66 487
Theodore W. Manikas United States 10 108 0.5× 76 0.6× 221 2.3× 114 1.3× 26 0.4× 41 427
Mitra Mirhassani Canada 12 258 1.2× 377 3.1× 57 0.6× 30 0.3× 120 1.8× 78 643
S. Himavathi India 12 219 1.0× 365 3.0× 142 1.5× 177 2.0× 31 0.5× 50 663
Hiroomi Hikawa Japan 12 307 1.4× 240 2.0× 102 1.1× 97 1.1× 76 1.2× 89 532
R. Salomon Germany 8 150 0.7× 56 0.5× 94 1.0× 77 0.9× 51 0.8× 17 409
P. T. Vanathi India 14 100 0.5× 130 1.1× 140 1.4× 21 0.2× 54 0.8× 68 573
Alin Tisan United Kingdom 9 107 0.5× 320 2.6× 48 0.5× 261 3.0× 69 1.0× 31 596
Israel Cruz-Vega Mexico 11 112 0.5× 78 0.6× 123 1.3× 150 1.7× 26 0.4× 40 542

Countries citing papers authored by Koldo Basterretxea

Since Specialization
Citations

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

Fields of papers citing papers by Koldo Basterretxea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koldo Basterretxea

This figure shows the co-authorship network connecting the top 25 collaborators of Koldo Basterretxea. A scholar is included among the top collaborators of Koldo Basterretxea 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 Koldo Basterretxea. Koldo Basterretxea 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.
Basterretxea, Koldo, et al.. (2025). Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection. Electronics Letters. 61(1).
2.
Basterretxea, Koldo, et al.. (2024). Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective. Journal of Systems Architecture. 154. 103242–103242. 5 indexed citations
3.
4.
Basterretxea, Koldo, et al.. (2023). Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving*. arXiv (Cornell University). 1–6. 2 indexed citations
5.
Basterretxea, Koldo, et al.. (2023). On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving. Journal of Systems Architecture. 139. 102878–102878. 15 indexed citations
6.
Basterretxea, Koldo, et al.. (2021). HSI-Drive: A Dataset for the Research of Hyperspectral Image Processing Applied to Autonomous Driving Systems. Communities in ADDI (University of the Basque Country). 866–873. 14 indexed citations
7.
Basterretxea, Koldo, et al.. (2020). Towards the Development of a CAD Tool for the Implementation of High-Speed Embedded MPCs on FPGAs. 941–947. 2 indexed citations
8.
Basterretxea, Koldo, et al.. (2016). ELM-based hyperspectral imagery processor for onboard real-time classification. 10. 43–50. 7 indexed citations
9.
Campo, I. del, et al.. (2015). Driving Behavior Signals and Machine Learning: A Personalized Driver Assistance System. 2933–2940. 36 indexed citations
10.
Basterretxea, Koldo. (2012). Recursive sigmoidal neurons for adaptive accuracy neural network implementations. 2. 152–158. 11 indexed citations
11.
Campo, I. del, et al.. (2012). A hardware/software embedded agent for real-time control of ambient-intelligence environments. Zenodo (CERN European Organization for Nuclear Research). 43. 1–8. 6 indexed citations
12.
Echanobe, Javier, et al.. (2012). Dynamic Partial Reconfiguration in Embedded Systems for Intelligent Environments. 178. 109–113. 3 indexed citations
13.
Campo, I. del, et al.. (2011). A System-on-Chip Development of a Neuro–Fuzzy Embedded Agent for Ambient-Intelligence Environments. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(2). 501–512. 20 indexed citations
14.
Basterretxea, Koldo, I. del Campo, & Javier Echanobe. (2010). A semi-active suspension embedded controller in a FPGA. 69–78. 2 indexed citations
15.
Ugalde, Unai, Rafael Bárcena, & Koldo Basterretxea. (2008). Ripple-free control response by using a fractional order hold device. WSEAS TRANSACTIONS on SYSTEMS archive. 7(7). 679–688. 2 indexed citations
16.
Basterretxea, Koldo, Rafael Bárcena, & Unai Ugalde. (2008). Designand synthesis of a configurable fractional order hold dice for sampled-data control systems. WSEAS Transactions on Circuits and Systems archive. 7(8). 869–878. 3 indexed citations
17.
Basterretxea, Koldo & Rafael Bárcena. (2008). Configurable digital fractional order hold device for hybrid control systems. International Conference on Circuits. 13(6). 356–361. 1 indexed citations
18.
Basterretxea, Koldo, et al.. (2007). An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design. IEEE Transactions on Neural Networks. 18(1). 266–283. 36 indexed citations
19.
Basterretxea, Koldo, et al.. (2004). Approximation of sigmoid function and the derivative for hardware implementation of artificial neurons. IEE Proceedings - Circuits Devices and Systems. 151(1). 18–18. 70 indexed citations
20.
Basterretxea, Koldo, et al.. (2002). Optimised PWL recursive approximation and its application to neuro-fuzzy systems. Mathematical and Computer Modelling. 35(7-8). 867–883. 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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2026