Pedro Arias

8.2k total citations · 1 hit paper
240 papers, 6.4k citations indexed

About

Pedro Arias is a scholar working on Geology, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Pedro Arias has authored 240 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Geology, 137 papers in Environmental Engineering and 67 papers in Civil and Structural Engineering. Recurrent topics in Pedro Arias's work include 3D Surveying and Cultural Heritage (163 papers), Remote Sensing and LiDAR Applications (135 papers) and Infrastructure Maintenance and Monitoring (50 papers). Pedro Arias is often cited by papers focused on 3D Surveying and Cultural Heritage (163 papers), Remote Sensing and LiDAR Applications (135 papers) and Infrastructure Maintenance and Monitoring (50 papers). Pedro Arias collaborates with scholars based in Spain, Netherlands and Portugal. Pedro Arias's co-authors include H. González-Jorge, Joaquín Martínez-Sánchez, B. Riveiro, Julia Armesto, S. Lagüela, L. Díaz−Vilariño, Iván Puente, Henrique Lorenzo, Mario Soilán and Mercedes Solla and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Pedro Arias

229 papers receiving 6.2k citations

Hit Papers

Review of mobile mapping and surveying technologies 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Arias Spain 46 3.6k 2.8k 2.0k 1.0k 977 240 6.4k
Diego González‐Aguilera Spain 42 2.5k 0.7× 1.9k 0.7× 795 0.4× 850 0.8× 364 0.4× 290 6.0k
Marco Scaioni Italy 35 2.4k 0.7× 2.1k 0.8× 591 0.3× 600 0.6× 515 0.5× 220 4.6k
B. Riveiro Spain 34 2.0k 0.6× 1.5k 0.5× 1.6k 0.8× 456 0.5× 395 0.4× 131 3.3k
Uwe Stilla Germany 44 3.0k 0.8× 4.4k 1.5× 520 0.3× 2.3k 2.3× 1.2k 1.2× 385 8.4k
Hans‐Gerd Maas Germany 33 2.2k 0.6× 2.9k 1.0× 421 0.2× 960 1.0× 622 0.6× 210 5.1k
Debra F. Laefer Ireland 30 1.5k 0.4× 1.4k 0.5× 1.4k 0.7× 374 0.4× 336 0.3× 200 3.3k
H. González-Jorge Spain 30 1.5k 0.4× 1.3k 0.5× 853 0.4× 642 0.6× 427 0.4× 155 3.2k
Joaquín Martínez-Sánchez Spain 29 1.5k 0.4× 1.4k 0.5× 583 0.3× 561 0.6× 347 0.4× 127 2.9k
Luigi Barazzetti Italy 32 2.8k 0.8× 1.6k 0.6× 609 0.3× 570 0.6× 273 0.3× 166 3.6k
Francesco Nex Netherlands 35 3.3k 0.9× 3.2k 1.1× 453 0.2× 1.5k 1.5× 762 0.8× 132 6.6k

Countries citing papers authored by Pedro Arias

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Arias

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Arias. A scholar is included among the top collaborators of Pedro Arias 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 Arias. Pedro Arias 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.
Martínez-Sánchez, Joaquín, et al.. (2025). Fusion of thermal images and point clouds for enhanced wall temperature uniformity analysis in building environments. Energy and Buildings. 339. 115781–115781.
2.
Arias, Pedro, et al.. (2025). Comprehensive study of machine learning classification methods applied to UAV-based management of intertidal ecosystems. Remote Sensing Applications Society and Environment. 39. 101634–101634.
3.
Martínez-Sánchez, Joaquín, et al.. (2024). Assessment of vegetation indices for mapping burned areas using a deep learning method and a comprehensive forest fire dataset from Landsat collection. Advances in Space Research. 75(2). 1665–1685. 3 indexed citations
4.
Mustafa, Hiba J., et al.. (2024). Perinatal outcomes following fetoscopic laser surgery for early twin‐to‐twin transfusion syndrome: Systematic review and meta‐analysis. Acta Obstetricia Et Gynecologica Scandinavica. 103(5). 824–831. 4 indexed citations
5.
Martínez-Sánchez, Joaquín, et al.. (2024). Transport Infrastructure Management Based on LiDAR Synthetic Data: A Deep Learning Approach with a ROADSENSE Simulator. Infrastructures. 9(3). 58–58. 1 indexed citations
6.
Balado, Jesús, et al.. (2023). Reinforcement Learning to Calculate Routes for Simulated Robot Safety Cones. SHILAP Revista de lepidopterología. 165–165. 1 indexed citations
7.
Arias, Pedro, et al.. (2023). NONSURGICAL MANAGEMENT OF A PLEUROCUTANEOUS FISTULA FROM MYCOBACTERIUM AVIUM COMPLEX: A CASE REPORT. CHEST Journal. 164(4). A1515–A1516.
8.
Martínez-Sánchez, Joaquín, et al.. (2021). Individual Tree Segmentation Method Based on Mobile Backpack LiDAR Point Clouds. Sensors. 21(18). 6007–6007. 28 indexed citations
9.
Balado, Jesús, et al.. (2021). Disturbance Analysis in the Classification of Objects Obtained from Urban LiDAR Point Clouds with Convolutional Neural Networks. Remote Sensing. 13(11). 2135–2135. 5 indexed citations
10.
Balado, Jesús, et al.. (2020). Novel Approach to Automatic Traffic Sign Inventory Based on Mobile Mapping System Data and Deep Learning. Remote Sensing. 12(3). 442–442. 28 indexed citations
11.
Garrido, Iván, S. Lagüela, Qiang Fang, & Pedro Arias. (2020). Combination of thermal fundamentals and Deep Learning for infrastructure inspections from thermographic images. Preliminary results. Investigo repository of University of Vigo (University of Vigo). 2 indexed citations
12.
Rodríguez‐Gonzálvez, Pablo, Belen Jiménez Fernández-Palacios, Ángel Luis Fernández Muñoz, Pedro Arias, & Diego González‐Aguilera. (2017). Mobile LiDAR System: New Possibilities for the Documentation and Dissemination of Large Cultural Heritage Sites. Remote Sensing. 9(3). 189–189. 94 indexed citations
13.
Martínez-Sánchez, Joaquín, Iván Puente, H. González-Jorge, B. Riveiro, & Pedro Arias. (2016). AUTOMATIC THICKNESS AND VOLUME ESTIMATION OF SPRAYED CONCRETE ON ANCHORED RETAINING WALLS FROM TERRESTRIAL LIDAR DATA. SHILAP Revista de lepidopterología. XLI-B5. 521–526. 9 indexed citations
14.
Lorenzo, Henrique, Pedro Arias, Julia Armesto, et al.. (2012). TEN YEARS OF APPLYING GEOMATICS TO CONSTRUCTION ENGINEERING IN SPAIN: A REVIEW. SHILAP Revista de lepidopterología. 1 indexed citations
15.
González-Jorge, H., Mercedes Solla, Julia Armesto, & Pedro Arias. (2012). Novel method to determine laser scanner accuracy for applications in civil engineering. Optica Applicata. 42. 43–53. 20 indexed citations
16.
González-Jorge, H., et al.. (2012). Accuracy in target center evaluation using Riegl LMS Z390i laser scanner and Riscan Pro software. Optica Applicata. 42. 2 indexed citations
17.
Lagüela, S., Julia Armesto, H. González-Jorge, Pedro Arias, & José Herráez. (2011). Automation of Thermographic 3D Modelling through Image Fusion and Image Matching Techniques. Proceedings of the ... ISARC. 3 indexed citations
18.
Sanz‐Ablanedo, Enoc, et al.. (2010). Modelling and experimental contrast of the mechanical behaviour of structural laminated glass. Materiales de Construcción. 60(300). 131–141. 1 indexed citations
19.
Arias, Pedro, Julia Armesto, Henrique Lorenzo, & Celestino Ordóñez. (2006). Terrestrial laser technology in sporting craft 3D modelling.. 63–67. 1 indexed citations
20.
Lorenzo, Henrique, et al.. (2004). Use of GPR to map prestige fuel layers below sand on the beaches of galicia. 597–600. 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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