Luis Moya
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Geology top 10%
Papers in
- Geophysics 12
- earthquake and tectonic studies 9
-
- Flood Risk Assessment and Management 10
- Co-authors
- Shunichi Koshimura (21 shared papers)Erick Mas (21 shared papers)Fumio Yamazaki (15 shared papers)Wen Liu (4 shared papers)Bruno Adriano (7 shared papers)Yanbing Bai (1 shared paper)Masumi Yamada (2 shared papers)Tatsuro Chiba (1 shared paper)
- Journals
- Remote Sensing (5 papers)Natural hazards and earth system sciences (3 papers)International Journal of Disaster Risk Reduction (3 papers)Earthquake Spectra (2 papers)Transportation Research Part D Transport and Environment (1 paper)
- Partner nations
- JapanPeruUnited States
In The Last Decade
Luis Moya
34 papers receiving 534 citations
Peers
Comparison fields: 5 of 79
- Media Technology 150
- Geology 51
- Geophysics 105
- Atmospheric Science 126
- Global and Planetary Change 131
Countries citing papers authored by Luis Moya
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
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-authors
The 25 scholars most cited alongside Luis Moya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 73 | |
| 2 | 2020 | 55 | |
| 3 | 2021 | 42 | |
| 4 | 2018 | 39 | |
| 5 | 2020 | 36 | |
| 6 | 2018 | 35 | |
| 7 | 2017 | 30 | |
| 8 | 2019 | 30 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2020 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2019 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2023 | 13 | |
| 17 | 2021 | 8 | |
| 18 | 2024 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 6 |
About Luis Moya
Luis Moya is a scholar working on Geophysics, Global and Planetary Change, Geology, Civil and Structural Engineering and Media Technology, having authored 38 papers that have together received 550 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (10 papers), earthquake and tectonic studies (9 papers), 3D Surveying and Cultural Heritage (6 papers), Remote-Sensing Image Classification (6 papers), Tropical and Extratropical Cyclones Research (5 papers), Evacuation and Crowd Dynamics (5 papers), Remote Sensing and LiDAR Applications (4 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers). The work is most often cited by research in Media Technology (150 citations), Geology (51 citations), Geophysics (105 citations), Atmospheric Science (126 citations) and Global and Planetary Change (131 citations). Luis Moya has collaborated with scholars based in Japan, Peru and United States. Frequent co-authors include Shunichi Koshimura, Erick Mas, Fumio Yamazaki, Wen Liu, Bruno Adriano, Yanbing Bai, Masumi Yamada, Tatsuro Chiba, Abdul Muhari and Naoto Yokoya. Their work appears in journals such as Remote Sensing, Natural hazards and earth system sciences, International Journal of Disaster Risk Reduction, Earthquake Spectra and Transportation Research Part D Transport and Environment.
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.