Pedro Lima

482 total citations
7 papers, 245 citations indexed

About

Pedro Lima is a scholar working on Management, Monitoring, Policy and Law, Mechanical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Pedro Lima has authored 7 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management, Monitoring, Policy and Law, 4 papers in Mechanical Engineering and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Pedro Lima's work include Landslides and related hazards (6 papers), Tree Root and Stability Studies (4 papers) and Geotechnical Engineering and Analysis (3 papers). Pedro Lima is often cited by papers focused on Landslides and related hazards (6 papers), Tree Root and Stability Studies (4 papers) and Geotechnical Engineering and Analysis (3 papers). Pedro Lima collaborates with scholars based in Austria, Italy and Mexico. Pedro Lima's co-authors include Stefan Steger, Thomas Glade, Qigen Lin, Tianxue Liu, Tong Jiang, Ying Wang, Martin Mergili and Ana Luíza Coelho Netto and has published in prestigious journals such as Geomorphology, Landslides and Geoscience Frontiers.

In The Last Decade

Pedro Lima

7 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pedro Lima Austria	4	228	147	91	68	64	7	245
Jalal Samia Netherlands	7	310 1.4×	178 1.2×	118 1.3×	88 1.3×	46 0.7×	8	340
Leulalem Shano Ethiopia	6	313 1.4×	221 1.5×	53 0.6×	54 0.8×	90 1.4×	8	329
Martin Klose Germany	6	256 1.1×	175 1.2×	83 0.9×	33 0.5×	69 1.1×	11	281
Qingyu Gu China	8	238 1.0×	140 1.0×	79 0.9×	48 0.7×	63 1.0×	13	302
Alessandro Battistini Italy	7	234 1.0×	182 1.2×	100 1.1×	30 0.4×	46 0.7×	12	298
Kunlong Yin China	6	224 1.0×	120 0.8×	68 0.7×	50 0.7×	52 0.8×	12	276
Emanuele Raso Italy	7	232 1.0×	161 1.1×	97 1.1×	52 0.8×	52 0.8×	11	307
Azemeraw Wubalem Ethiopia	6	241 1.1×	191 1.3×	45 0.5×	50 0.7×	54 0.8×	9	287
Maria Chiara Turrini Italy	3	290 1.3×	198 1.3×	63 0.7×	53 0.8×	119 1.9×	11	329
Ashok Dahal Netherlands	13	232 1.0×	121 0.8×	108 1.2×	34 0.5×	47 0.7×	25	309

Countries citing papers authored by Pedro Lima

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pedro Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Lima. A scholar is included among the top collaborators of Pedro Lima 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 Lima. Pedro Lima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Lima, Pedro, Stefan Steger, Thomas Glade, & Martin Mergili. (2023). Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design. Geomorphology. 430. 108638–108638. 17 indexed citations

2.

Lima, Pedro, et al.. (2022). Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility. Journal of Mountain Science. 19(6). 1670–1698. 77 indexed citations

3.

Lin, Qigen, Pedro Lima, Stefan Steger, et al.. (2021). National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data. Geoscience Frontiers. 12(6). 101248–101248. 100 indexed citations

4.

Lima, Pedro, Stefan Steger, & Thomas Glade. (2021). Counteracting flawed landslide data in statistically based landslide susceptibility modelling for very large areas: a national-scale assessment for Austria. Landslides. 18(11). 3531–3546. 47 indexed citations

5.

Netto, Ana Luíza Coelho, et al.. (2017). Bioclimatic changes and landslide recurrence in the mountainous region of Rio de Janeiro: are we ready to face the next landslide disaster?. EGU General Assembly Conference Abstracts. 17718. 2 indexed citations

6.

Lima, Pedro, Stefan Steger, & Thomas Glade. (2017). Comparison of non-landslide sampling strategies to counteract inventory-based biases within national-scale statistical landslide susceptibility models. EGU General Assembly Conference Abstracts. 13523. 1 indexed citations

7.

Lima, Pedro, et al.. (2017). COMPORTAMENTO DE ANÁLISES EM SUPERFÍCIE PLANIMÉTRICA E MODELADA FRENTE A REPRESENTAÇÕES CARTOGRÁFICAS E ÍNDICES GEOMORFOLÓGICOS - BACIA DO RIO CUIABÁ - PETRÓPOLIS (RJ). Revista Brasileira de Geomorfologia. 18(4). 1 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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