Pedro Javier Herrera

857 total citations
24 papers, 584 citations indexed

About

Pedro Javier Herrera is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Ecology. According to data from OpenAlex, Pedro Javier Herrera has authored 24 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Environmental Engineering and 5 papers in Ecology. Recurrent topics in Pedro Javier Herrera's work include Remote Sensing and LiDAR Applications (7 papers), Remote Sensing in Agriculture (5 papers) and Advanced Vision and Imaging (5 papers). Pedro Javier Herrera is often cited by papers focused on Remote Sensing and LiDAR Applications (7 papers), Remote Sensing in Agriculture (5 papers) and Advanced Vision and Imaging (5 papers). Pedro Javier Herrera collaborates with scholars based in Spain, Indonesia and United Kingdom. Pedro Javier Herrera's co-authors include Ángela Ribeiro, Gonzalo Pájares, María Guijarro, Xavier P. Burgos-Artizzu, José Dorado, J.A. Cerrada, Manuel Monge, José J. Ruz, Jesús Manuel de la Cruz García and Fernando Montes and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Pedro Javier Herrera

21 papers receiving 565 citations

Peers

Pedro Javier Herrera
Cengiz Koparan United States
Yaqin Sun China
Dimosthenis C. Tsouros Greece
John Nowatzki United States
Nahina Islam Australia
Yun Shi China
Haitao Xiang China
Everton Castel�ão Tetila Brazil
Sungchan Oh United States
Wenxin Yin China
Cengiz Koparan United States
Pedro Javier Herrera
Citations per year, relative to Pedro Javier Herrera Pedro Javier Herrera (= 1×) peers Cengiz Koparan

Countries citing papers authored by Pedro Javier Herrera

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Javier Herrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Javier Herrera

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Javier Herrera. A scholar is included among the top collaborators of Pedro Javier Herrera 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 Pedro Javier Herrera. Pedro Javier Herrera 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.
Herrera, Pedro Javier, et al.. (2025). Recognition of Egyptian hieroglyphic texts through focused generic segmentation and cross-validation voting. Applied Soft Computing. 171. 112793–112793.
2.
3.
Herrera, Pedro Javier, et al.. (2023). A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting. Mathematics. 11(1). 224–224. 57 indexed citations
4.
Hernández-González, Jerónimo & Pedro Javier Herrera. (2023). On the Supervision of Peer Assessment Tasks: An Efficient Instructor Guidance Technique. IEEE Transactions on Learning Technologies. 16(6). 926–939. 3 indexed citations
5.
Herrera, Pedro Javier, Fernando Montes, Gonzalo Pájares, & Carlos Cerrada. (2020). An automatic segmentation method based on geometrical features in hemispherical images for forest management. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 7–7. 1 indexed citations
6.
Herrera, Pedro Javier, et al.. (2019). A Simplified Optimal Path Following Controller for an Agricultural Skid-Steering Robot. IEEE Access. 7. 95932–95940. 32 indexed citations
7.
Herrera, Pedro Javier, et al.. (2018). Robust digital control for autonomous skid-steered agricultural robots. Computers and Electronics in Agriculture. 153. 94–101. 15 indexed citations
8.
Herrera, Pedro Javier, et al.. (2018). Self-tuning regulator for a tractor with varying speed and hitch forces. Computers and Electronics in Agriculture. 145. 282–288. 9 indexed citations
9.
Herrera, Pedro Javier, et al.. (2017). Deciphering Egyptian Hieroglyphs: Towards a New Strategy for Navigation in Museums. Sensors. 17(3). 589–589. 9 indexed citations
10.
Sánchez‐González, Mariola, et al.. (2016). Basal Area and Diameter Distribution Estimation Using Stereoscopic Hemispherical Images. Photogrammetric Engineering & Remote Sensing. 82(8). 605–616. 16 indexed citations
11.
Herrera, Pedro Javier, José Dorado, & Ángela Ribeiro. (2014). A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method. Sensors. 14(8). 15304–15324. 65 indexed citations
12.
Burgos-Artizzu, Xavier P., et al.. (2012). An empirical study on the viability of the application of SIFT algorithm to video stabilization in crop fields..
13.
Herrera, Pedro Javier, Gonzalo Pájares, & María Guijarro. (2011). A segmentation method using Otsu and fuzzy k-Means for stereovision matching in hemispherical images from forest environments. Applied Soft Computing. 11(8). 4738–4747. 19 indexed citations
14.
Herrera, Pedro Javier, Gonzalo Pájares, María Guijarro, José J. Ruz, & Jesús Manuel de la Cruz García. (2011). Combining Support Vector Machines and simulated annealing for stereovision matching with fish eye lenses in forest environments. Expert Systems with Applications. 38(7). 8622–8631. 9 indexed citations
15.
Guijarro, María, et al.. (2010). Automatic image segmentation of greenness in crop fields. 462–467. 8 indexed citations
16.
Guijarro, María, et al.. (2010). Automatic segmentation of relevant textures in agricultural images. Computers and Electronics in Agriculture. 75(1). 75–83. 295 indexed citations
17.
Guijarro, María, Gonzalo Pájares, & Pedro Javier Herrera. (2009). Image-Based Airborne Sensors: A Combined Approach for Spectral Signatures Classification through Deterministic Simulated Annealing. Sensors. 9(9). 7132–7149. 6 indexed citations
18.
Herrera, Pedro Javier, Gonzalo Pájares, María Guijarro, et al.. (2009). A Featured-Based Strategy for Stereovision Matching in Sensors with Fish-Eye Lenses for Forest Environments. Sensors. 9(12). 9468–9492. 11 indexed citations
19.
Pájares, Gonzalo, María Guijarro, Pedro Javier Herrera, & Ángela Ribeiro. (2009). Combining classifiers through fuzzy cognitive maps in natural images. IET Computer Vision. 3(3). 112–123. 3 indexed citations
20.
Herrera, Pedro Javier, et al.. (1994). Shrub architecture and occupation of space in a Mediterranean sclerophyllous shrubland. Journal of Vegetation Science. 5(4). 497–504. 5 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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