Luis Moya

770 total citations
38 papers, 550 citations indexed

About

Luis Moya is a scholar working on Geophysics, Global and Planetary Change and Geology. According to data from OpenAlex, Luis Moya has authored 38 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Geophysics, 12 papers in Global and Planetary Change and 7 papers in Geology. Recurrent topics in Luis Moya's work include Flood Risk Assessment and Management (10 papers), earthquake and tectonic studies (9 papers) and Remote-Sensing Image Classification (6 papers). Luis Moya is often cited by papers focused on Flood Risk Assessment and Management (10 papers), earthquake and tectonic studies (9 papers) and Remote-Sensing Image Classification (6 papers). Luis Moya collaborates with scholars based in Japan, Peru and United States. Luis Moya's co-authors include Shunichi Koshimura, Erick Mas, Fumio Yamazaki, Wen Liu, Bruno Adriano, Yanbing Bai, Masumi Yamada, Tatsuro Chiba, Abdul Muhari and Naoto Yokoya and has published in prestigious journals such as Nature Communications, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Luis Moya

34 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Moya Japan 15 150 131 126 110 105 38 550
Yanbing Bai China 14 214 1.4× 186 1.4× 150 1.2× 132 1.2× 93 0.9× 29 607
Hideomi Gokon Japan 15 216 1.4× 118 0.9× 214 1.7× 105 1.0× 258 2.5× 56 772
Ralph Kiefl Germany 7 140 0.9× 155 1.2× 107 0.8× 62 0.6× 38 0.4× 20 524
Emily So United Kingdom 17 115 0.8× 156 1.2× 125 1.0× 62 0.6× 120 1.1× 41 730
Patrick Aravena Pelizari Germany 11 180 1.2× 161 1.2× 106 0.8× 66 0.6× 14 0.1× 17 440
Gaozhong Nie China 13 38 0.3× 93 0.7× 121 1.0× 47 0.4× 58 0.6× 44 427
Cong He China 18 22 0.1× 99 0.8× 63 0.5× 149 1.4× 82 0.8× 40 855
Jiansi Yang China 13 23 0.2× 56 0.4× 55 0.4× 174 1.6× 273 2.6× 41 532
Stefania Amici Italy 14 103 0.7× 143 1.1× 73 0.6× 54 0.5× 34 0.3× 43 457
Stuart Mead New Zealand 13 38 0.3× 77 0.6× 82 0.7× 61 0.6× 111 1.1× 32 396

Countries citing papers authored by Luis Moya

Since Specialization
Citations

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

Fields of papers citing papers by Luis Moya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Moya

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Moya. A scholar is included among the top collaborators of Luis Moya 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 Luis Moya. Luis Moya 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.
Heilpern, Sebastián, Alexander S. Flecker, Peter B. McIntyre, et al.. (2025). Accessible, low-mercury, and nutritious fishes provide win-wins for conservation and public health. One Earth. 8(1). 101174–101174. 3 indexed citations
2.
Mas, Erick, et al.. (2024). Reinforcement learning-based tsunami evacuation guidance system. International Journal of Disaster Risk Reduction. 115. 105023–105023. 3 indexed citations
3.
Vázquez‐Rowe, Ian, et al.. (2024). Analyzing the behavior of beachgoers in the city of Lima and their relationship with potential plastic emissions. Marine Policy. 170. 106403–106403.
4.
Ceferino, Luis, et al.. (2024). Placing engineering in the earthquake response and the survival chain. Nature Communications. 15(1). 4298–4298. 6 indexed citations
5.
6.
Moya, Luis, et al.. (2023). Seismic Risk Regularization for Urban Changes Due to Earthquakes: A Case of Study of the 2023 Turkey Earthquake Sequence. Remote Sensing. 15(11). 2754–2754. 13 indexed citations
7.
Moya, Luis, Fernando García, Carlos Zavala, et al.. (2022). Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru. Natural hazards and earth system sciences. 22(1). 65–70. 5 indexed citations
8.
Mas, Erick, et al.. (2021). Model-based analysis of multi-UAV path planning for surveying postdisaster building damage. Scientific Reports. 11(1). 18588–18588. 42 indexed citations
9.
Moya, Luis, Fernando García, Carlos Zavala, et al.. (2021). Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru. 1 indexed citations
10.
Moya, Luis, Erick Mas, Fumio Yamazaki, Ryan Wen Liu, & Shunichi Koshimura. (2020). Statistical analysis of earthquake debris extent from wood‐frame buildings and its use in road networks in Japan. Earthquake Spectra. 36(1). 209–231. 17 indexed citations
11.
Moya, Luis, Erick Mas, Fumio Yamazaki, Ryan Wen Liu, & Shunichi Koshimura. (2019). WITHDRAWAL – Administrative Duplicate Publication: Statistical Analysis of Japan Wood Frame Building Earthquake Debris Extent and Its Use in Road Networks in Japan. Earthquake Spectra. 40(3). 1–25. 1 indexed citations
12.
Koshimura, Shunichi, et al.. (2019). Field Survey of the 28 September Earthquake Tsunami of Sulawesi, Indonesia. EGU General Assembly Conference Abstracts. 12010. 3 indexed citations
13.
Moya, Luis, et al.. (2019). 3D gray level co-occurrence matrix and its application to identifying collapsed buildings. ISPRS Journal of Photogrammetry and Remote Sensing. 149. 14–28. 73 indexed citations
14.
Mas, Erick, et al.. (2018). Dynamic Integrated Model for Disaster Management and Socioeconomic Analysis (DIM2SEA). Journal of Disaster Research. 13(7). 1257–1271. 1 indexed citations
15.
Moya, Luis, et al.. (2018). Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan. Natural hazards and earth system sciences. 18(1). 65–78. 39 indexed citations
16.
Moya, Luis, Fumio Yamazaki, Wen Liu, & Masumi Yamada. (2017). Detection of collapsed buildings due to the 2016 Kumamoto, Japan, earthquake from Lidar data. 4 indexed citations
17.
Moya, Luis, Fumio Yamazaki, Wen Liu, & Tatsuro Chiba. (2017). Calculation of coseismic displacement from lidar data in the 2016 Kumamoto, Japan, earthquake. Natural hazards and earth system sciences. 17(1). 143–156. 30 indexed citations
18.
Yamazaki, Fumio, Wenjun Liu, & Luis Moya. (2017). Use of multitemporal lidar data to extract changes due to the 2016 Kumamoto earthquake. 100. 15–15. 3 indexed citations
19.
20.
Saito, Taiki, et al.. (2013). Experimental Study on Dynamic Behavior of Unreinforced Masonry Walls. Journal of Disaster Research. 8(2). 305–311. 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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