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 6
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- Tree Root and Stability Studies 4
- Co-authors
- Stefan Steger (5 shared papers)Thomas Glade (5 shared papers)Ying Wang (1 shared paper)Qigen Lin (1 shared paper)Tianxue Liu (1 shared paper)Tong Jiang (1 shared paper)Martin Mergili (1 shared paper)Ana Luíza Coelho Netto (1 shared paper)
- Journals
- Geomorphology (1 paper)Landslides (1 paper)Geoscience Frontiers (1 paper)Journal of Mountain Science (1 paper)Revista Brasileira de Geomorfologia (1 paper)
In The Last Decade
Pedro Lima
7 papers receiving 239 citations
Peers
Comparison fields: 5 of 27
- Management, Monitoring, Policy and Law 228
- Safety, Risk, Reliability and Quality 64
- Global and Planetary Change 147
- Atmospheric Science 91
- Mechanical Engineering 68
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 8 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 | 100 | |
| 2 | 2022 | 77 | |
| 3 | 2021 | 47 | |
| 4 | 2023 | 17 | |
| 5 | Bioclimatic changes and landslide recurrence in the mountainous region of Rio de Janeiro: are we ready to face the next landslide disaster? | 2017 | 2 |
| 6 | Comparison of non-landslide sampling strategies to counteract inventory-based biases within national-scale statistical landslide susceptibility models | 2017 | 1 |
| 7 | 2017 | 1 |
About Pedro Lima
Pedro Lima is a scholar working on Management, Monitoring, Policy and Law, Mechanical Engineering, Safety, Risk, Reliability and Quality, Soil Science and Water Science and Technology, having authored 7 papers that have together received 245 indexed citations. Recurring topics across this work include Landslides and related hazards (6 papers), Tree Root and Stability Studies (4 papers), Geotechnical Engineering and Analysis (3 papers), Soil erosion and sediment transport (2 papers), Flood Risk Assessment and Management (2 papers), Geography and Environmental Studies (2 papers), Soil and Unsaturated Flow (1 paper) and Groundwater and Watershed Analysis (1 paper). The work is most often cited by research in Management, Monitoring, Policy and Law (228 citations), Safety, Risk, Reliability and Quality (64 citations), Global and Planetary Change (147 citations), Atmospheric Science (91 citations) and Mechanical Engineering (68 citations). Pedro Lima has collaborated with scholars based in Italy, Austria and Mexico. Frequent co-authors include Stefan Steger, Thomas Glade, Ying Wang, Qigen Lin, Tianxue Liu, Tong Jiang, Martin Mergili and Ana Luíza Coelho Netto. Their work appears in journals such as Geomorphology, Landslides, Geoscience Frontiers, Journal of Mountain Science and Revista Brasileira de Geomorfologia.
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.