Rafael Arnay

658 total citations
30 papers, 412 citations indexed

About

Rafael Arnay is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Rafael Arnay has authored 30 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 5 papers in Automotive Engineering. Recurrent topics in Rafael Arnay's work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (5 papers) and Retinal Imaging and Analysis (4 papers). Rafael Arnay is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (5 papers) and Retinal Imaging and Analysis (4 papers). Rafael Arnay collaborates with scholars based in Spain and Portugal. Rafael Arnay's co-authors include José Sigut, Leopoldo Sánchez, Jonay Toledo, Francisco Fumero, M. Sigut, Silvia Alayón, Evelio J. González, Coromoto León, Eduardo Segredo and Ana M. León and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Sensors.

In The Last Decade

Rafael Arnay

27 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rafael Arnay Spain	13	160	134	95	61	54	30	412
Erkang Cheng China	12	345 2.2×	116 0.9×	67 0.7×	102 1.7×	78 1.4×	47	532
Soo Siang Teoh Malaysia	12	261 1.6×	109 0.8×	68 0.7×	41 0.7×	25 0.5×	24	447
Tomasz Marciniak Poland	10	181 1.1×	62 0.5×	48 0.5×	98 1.6×	23 0.4×	84	389
Mohamed Adnane Mahraz Morocco	15	287 1.8×	111 0.8×	39 0.4×	156 2.6×	13 0.2×	62	581
Muhammad Shehzad Hanif Saudi Arabia	12	341 2.1×	104 0.8×	41 0.4×	68 1.1×	31 0.6×	30	502
Yung‐Hui Li Taiwan	15	349 2.2×	137 1.0×	64 0.7×	137 2.2×	11 0.2×	93	975
Jayan Eledath United States	11	248 1.6×	28 0.2×	27 0.3×	60 1.0×	98 1.8×	29	375
Sohini Roychowdhury United States	11	151 0.9×	223 1.7×	169 1.8×	38 0.6×	13 0.2×	28	394
Ganbayar Batchuluun South Korea	17	363 2.3×	192 1.4×	15 0.2×	204 3.3×	62 1.1×	34	777
Nouf Abdullah Almujally Saudi Arabia	14	237 1.5×	80 0.6×	7 0.1×	166 2.7×	38 0.7×	65	599

Countries citing papers authored by Rafael Arnay

Since Specialization

Citations

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

Fields of papers citing papers by Rafael Arnay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Arnay

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Arnay. A scholar is included among the top collaborators of Rafael Arnay 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 Rafael Arnay. Rafael Arnay 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

Arnay, Rafael, et al.. (2024). Using RoblockLLy in the Classroom: Bridging the Gap in Computer Science Education Through Robotics Simulation. IEEE Transactions on Learning Technologies. 18. 39–52.

Sigut, José, et al.. (2023). Interpretable surrogate models to approximate the predictions of convolutional neural networks in glaucoma diagnosis. Machine Learning Science and Technology. 4(4). 45024–45024. 5 indexed citations

Arnay, Rafael, et al.. (2022). Teaching the Virtual Brain. Journal of Digital Imaging. 35(6). 1599–1610. 2 indexed citations

Vicente, Diego, Rafael Arnay, Arantzazu Arrospide, et al.. (2021). Diagnostic accuracy of adenosine deaminase for pleural tuberculosis in a low prevalence setting: A machine learning approach within a 7-year prospective multi-center study. PLoS ONE. 16(11). e0259203–e0259203. 9 indexed citations

Arnay, Rafael, et al.. (2021). Soil micromorphological image classification using deep learning: The porosity parameter. Applied Soft Computing. 102. 107093–107093. 5 indexed citations

González-Cava, José M., Rafael Arnay, Ana M. León, et al.. (2020). Machine learning based method for the evaluation of the Analgesia Nociception Index in the assessment of general anesthesia. Computers in Biology and Medicine. 118. 103645–103645. 15 indexed citations

González, Evelio J., et al.. (2020). An approach based on the ifcOWL ontology to support indoor navigation. Egyptian Informatics Journal. 22(1). 1–13. 19 indexed citations

Segredo, Eduardo, et al.. (2020). Simulador de Robótica Educativa para la promoción del Pensamiento Computacional. Revista de Educación a Distancia (RED). 20(63). 16 indexed citations

Fumero, Francisco, et al.. (2020). RIM-ONE DL: A Unified Retinal Image Database for Assessing Glaucoma Using Deep Learning. Image Analysis & Stereology. 39(3). 161–167. 75 indexed citations

10.

Toledo, Jonay, et al.. (2018). Improving Odometric Accuracy for an Autonomous Electric Cart. Sensors. 18(1). 200–200. 24 indexed citations

11.

Sigut, José, et al.. (2017). Contrast based circular approximation for accurate and robust optic disc segmentation in retinal images. PeerJ. 5. e3763–e3763. 17 indexed citations

12.

Arnay, Rafael, et al.. (2017). Teaching kinematics with interactive schematics and 3D models. Computer Applications in Engineering Education. 25(3). 420–429. 19 indexed citations

13.

Arnay, Rafael, et al.. (2016). Using Kinect on an Autonomous Vehicle for Outdoors Obstacle Detection. IEEE Sensors Journal. 16(10). 3603–3610. 33 indexed citations

14.

Arnay, Rafael, Francisco Fumero, & José Sigut. (2016). Ant Colony Optimization-based method for optic cup segmentation in retinal images. Applied Soft Computing. 52. 409–417. 43 indexed citations

15.

Arnay, Rafael, et al.. (2016). Safe and Reliable Path Planning for the Autonomous Vehicle Verdino. IEEE Intelligent Transportation Systems Magazine. 8(2). 22–32. 13 indexed citations

16.

Arnay, Rafael & Leopoldo Sánchez. (2014). Contour-based focus of attention mechanism to speed up object detection and labeling in 3D scenes. Image and Vision Computing. 32(5). 303–320. 3 indexed citations

17.

Hamilton, A., et al.. (2012). Semantic-based approach for route determination and ontologyupdating. Engineering Applications of Artificial Intelligence. 26(3). 1174–1184. 4 indexed citations

18.

Toledo, Jonay, et al.. (2011). Real-time adaptive obstacle detection based on an image database. Computer Vision and Image Understanding. 115(9). 1273–1287. 11 indexed citations

19.

Sánchez, Leopoldo, et al.. (2011). Fusion of a Variable Baseline System and a Range Finder. Sensors. 12(1). 278–296. 3 indexed citations

20.

Arnay, Rafael, et al.. (2008). Ant colony optimisation algorithm for detection and tracking of non-structured roads. Electronics Letters. 44(12). 725–727. 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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