Eva M. Ortigosa

1.0k total citations
25 papers, 649 citations indexed

About

Eva M. Ortigosa is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eva M. Ortigosa has authored 25 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Electrical and Electronic Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eva M. Ortigosa's work include Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (5 papers) and Neural Networks and Applications (4 papers). Eva M. Ortigosa is often cited by papers focused on Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (5 papers) and Neural Networks and Applications (4 papers). Eva M. Ortigosa collaborates with scholars based in Spain, France and Argentina. Eva M. Ortigosa's co-authors include Eduardo Ros, Francisco Pelayo, Sonia Mota, Javier Díaz, A. Prieto, Julio Ortega, Beatriz Prieto, Ignacio Rojas, Richard R. Carrillo and Boris Barbour and has published in prestigious journals such as Neural Computation, Neurocomputing and Applied Soft Computing.

In The Last Decade

Eva M. Ortigosa

23 papers receiving 616 citations

Peers

Eva M. Ortigosa

EEE

CVPR

Kashu Yamazaki United States

César Torres-Huitzil Mexico

Prakash Duraisamy United States

Hui Xu China

Lin Zhu China

Jzau‐Sheng Lin Taiwan

Qingxiang Wu China

Jason M. Kinser United States

Ali A. Pouyan Iran

Kashu Yamazaki United States

Eva M. Ortigosa

201 ×0.9

EEE

188 ×1.0

CVPR

130 ×0.9

250 ×1.7

39 ×0.5

Citations per year, relative to Eva M. Ortigosa Eva M. Ortigosa (= 1×) peers Kashu Yamazaki

Countries citing papers authored by Eva M. Ortigosa

Since Specialization

Citations

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

Fields of papers citing papers by Eva M. Ortigosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva M. Ortigosa. 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 Eva M. Ortigosa. The network helps show where Eva M. Ortigosa may publish in the future.

Co-authorship network of co-authors of Eva M. Ortigosa

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

All Works

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20 of 20 papers shown

Cruz, N.C., et al.. (2025). A holistic approach for resource-constrained neural network architecture search. Applied Soft Computing. 172. 112832–112832.

Ros, Eduardo, et al.. (2024). Optimized Edge-Cloud System for Activity Monitoring Using Knowledge Distillation. Electronics. 13(23). 4786–4786.

Cruz, N.C., et al.. (2022). Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity. Frontiers in Neuroinformatics. 16. 1017222–1017222. 4 indexed citations

Cruz, N.C., et al.. (2021). On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell. Frontiers in Neuroinformatics. 15. 663797–663797. 2 indexed citations

Cruz, N.C., et al.. (2021). A Comparative Study of Stochastic Optimizers for Fitting Neuron Models. Application to the Cerebellar Granule Cell. Informatica. 477–498. 3 indexed citations

Díaz, Alejandro, et al.. (2019). Análisis de la producción científica argentina en MEDLINE en el área hipertensión arterial. Hipertensión y Riesgo Vascular. 37(1). 17–21. 1 indexed citations

Paderewski, Patricia, M. G. Arenas, Rosa Gil, et al.. (2017). Initiatives and Strategies to Encourage Women Into Engineering. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 12(2). 106–114. 9 indexed citations

Ros, Eduardo, et al.. (2007). Hardware event-driven simulation engine for spiking neural networks. International Journal of Electronics. 94(5). 469–480. 9 indexed citations

Ros, Eduardo, et al.. (2006). Real-Time Computing Platform for Spiking Neurons (RT-Spike). IEEE Transactions on Neural Networks. 17(4). 1050–1063. 61 indexed citations

10.

Ros, Eduardo, et al.. (2006). Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics. Neural Computation. 18(12). 2959–2993. 78 indexed citations

11.

Ortigosa, Eva M., et al.. (2006). Hardware description of multi-layer perceptrons with different abstraction levels. Microprocessors and Microsystems. 30(7). 435–444. 56 indexed citations

12.

Díaz, Javier, Eduardo Ros, Sonia Mota, Francisco Pelayo, & Eva M. Ortigosa. (2006). Subpixel motion computing architecture. IEE Proceedings - Vision Image and Signal Processing. 153(6). 869–869. 3 indexed citations

13.

Díaz, Javier, et al.. (2005). High performance stereo computation architecture. 463–468. 6 indexed citations

14.

Mota, Sonia, Eduardo Ros, Javier Díaz, Eva M. Ortigosa, & A. Prieto. (2005). Motion-Driven Segmentation by Competitive Neural Processing. Neural Processing Letters. 22(2). 125–147. 6 indexed citations

15.

Mota, Sonia, Eduardo Ros, Eva M. Ortigosa, & Francisco Pelayo. (2004). Bio-Inspired Motion Detection for a Blind Spot Overtaking Monitor. International Journal of Robotics and Automation. 19(4). 13 indexed citations

16.

Ortigosa, Eva M., Luis F. Romero, & J.I. Ramos. (2003). Parallel scheduling of the PCG method for banded matrices rising from FDM/FEM. Journal of Parallel and Distributed Computing. 63(12). 1243–1256. 8 indexed citations

17.

Ortigosa, Eva M.. (2002). Simulación en arquitecturas paralelas de la propagación de ondas en medios excitables. Dialnet (Universidad de la Rioja). 1 indexed citations

18.

Ortigosa, Eva M., Luis F. Romero, & J.I. Ramos. (2001). Parallel simulation of spiral waves in reacting and diffusing media. Acta Cybernetica. 15(2). 173–184. 1 indexed citations

19.

Romero, Luis F., Eva M. Ortigosa, & Emilio L. Zapata. (2001). Data-task parallelism for the VMEC program. Parallel Computing. 27(10). 1347–1364. 2 indexed citations

20.

Ortigosa, Eva M., Luis F. Romero, & J.I. Ramos. (2000). Three-dimensional Simulations Of Spiral Waves In Reacting AndDiffusing Media On DSM Computers. WIT transactions on information and communication technologies. 23. 3 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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