Pedro Lima
Impact in
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- Landslides and related hazards
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- Geotechnical Engineering and Analysis
Papers in
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- Landslides and related hazards 9
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- Tree Root and Stability Studies 6
- Co-authors
- Thomas Glade (6 shared papers)Stefan Steger (6 shared papers)Tong Jiang (1 shared paper)Qigen Lin (1 shared paper)Jiahui Zhang (1 shared paper)Tianxue Liu (1 shared paper)Ying Wang (1 shared paper)Arben Koçiu (1 shared paper)
In The Last Decade
Pedro Lima
9 papers receiving 341 citations
Peers
Comparison fields: 5 of 37
- Management, Monitoring, Policy and Law 320
- Safety, Risk, Reliability and Quality 88
- Global and Planetary Change 203
- Atmospheric Science 109
- Soil Science 23
Countries citing papers authored by Pedro Lima
This map shows the geographic impact of Pedro Lima'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 Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Lima more than expected).
Fields of papers citing papers by Pedro Lima
This network shows the impact of papers produced by Pedro Lima. 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 Lima. The network helps show where Pedro Lima may publish in the future.
Co-authors
The 11 scholars most cited alongside Pedro Lima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2022 | 81 | |
| 3 | 2021 | 51 | |
| 4 | 2013 | 51 | |
| 5 | 2017 | 42 | |
| 6 | 2023 | 22 | |
| 7 | Bioclimatic changes and landslide recurrence in the mountainous region of Rio de Janeiro: are we ready to face the next landslide disaster? | 2017 | 2 |
| 8 | Comparison of non-landslide sampling strategies to counteract inventory-based biases within national-scale statistical landslide susceptibility models | 2017 | 1 |
| 9 | 2017 | 1 | |
| 10 | 2025 | 0 |
About Pedro Lima
Pedro Lima is a scholar working on Management, Monitoring, Policy and Law, Mechanical Engineering, Safety, Risk, Reliability and Quality, Global and Planetary Change and Civil and Structural Engineering, having authored 10 papers that have together received 356 indexed citations. Recurring topics across this work include Landslides and related hazards (9 papers), Tree Root and Stability Studies (6 papers), Geotechnical Engineering and Analysis (5 papers), Flood Risk Assessment and Management (3 papers), Soil erosion and sediment transport (2 papers), Geography and Environmental Studies (2 papers), Geotechnical Engineering and Soil Stabilization (1 paper) and Groundwater and Watershed Analysis (1 paper). The work is most often cited by research in Management, Monitoring, Policy and Law (320 citations), Safety, Risk, Reliability and Quality (88 citations), Global and Planetary Change (203 citations), Atmospheric Science (109 citations) and Soil Science (23 citations). Pedro Lima has collaborated with scholars based in Austria, Italy and Brazil. Frequent co-authors include Thomas Glade, Stefan Steger, Tong Jiang, Qigen Lin, Jiahui Zhang, Tianxue Liu, Ying Wang, Arben Koçiu, Nils Tilch and Ana Luiza Coelho Netto. Their work appears in journals such as Geomorphology, Geoscience Frontiers, ISPRS International Journal of Geo-Information, Landslides and Journal of Mountain Science.
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.