Michele D’Ambrosio

497 total citations
7 papers, 315 citations indexed

About

Michele D’Ambrosio is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Michele D’Ambrosio has authored 7 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management, Monitoring, Policy and Law, 4 papers in Civil and Structural Engineering and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Michele D’Ambrosio's work include Landslides and related hazards (7 papers), Geotechnical Engineering and Analysis (4 papers) and Soil and Unsaturated Flow (3 papers). Michele D’Ambrosio is often cited by papers focused on Landslides and related hazards (7 papers), Geotechnical Engineering and Analysis (4 papers) and Soil and Unsaturated Flow (3 papers). Michele D’Ambrosio collaborates with scholars based in Italy. Michele D’Ambrosio's co-authors include Gabriele Bicocchi, Veronica Tofani, Filippo Catani, Nicola Casagli, Veronica Pazzi, Samuele Segoni, Giuseppe Rossi, Pietro Vannocci, Riccardo Fanti and Luca Tanteri and has published in prestigious journals such as Natural hazards and earth system sciences, Landslides and Bulletin of Engineering Geology and the Environment.

In The Last Decade

Michele D’Ambrosio

7 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michele D’Ambrosio Italy	6	273	105	93	81	76	7	315
L. Leoni Italy	7	209 0.8×	93 0.9×	57 0.6×	81 1.0×	67 0.9×	13	286
Khang Dang Vietnam	12	334 1.2×	125 1.2×	79 0.8×	84 1.0×	102 1.3×	21	390
Shiho Asano Japan	10	274 1.0×	161 1.5×	80 0.9×	133 1.6×	64 0.8×	42	369
Dong Huang China	9	214 0.8×	118 1.1×	65 0.7×	83 1.0×	73 1.0×	26	303
Genlong Wang China	9	279 1.0×	178 1.7×	70 0.8×	74 0.9×	55 0.7×	16	352
Pietro Conversini Italy	8	389 1.4×	210 2.0×	126 1.4×	105 1.3×	90 1.2×	15	435
Theo W.J. Van Asch Netherlands	8	231 0.8×	94 0.9×	40 0.4×	53 0.7×	76 1.0×	12	263
Jonathan P. McKenna Canada	9	421 1.5×	163 1.6×	111 1.2×	153 1.9×	113 1.5×	22	490
Elena Benedetta Masi Italy	8	198 0.7×	80 0.8×	63 0.7×	51 0.6×	76 1.0×	12	302
Ming‐hui Hao China	6	343 1.3×	153 1.5×	79 0.8×	117 1.4×	68 0.9×	9	381

Countries citing papers authored by Michele D’Ambrosio

Since Specialization

Citations

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

Fields of papers citing papers by Michele D’Ambrosio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michele D’Ambrosio. 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 Michele D’Ambrosio. The network helps show where Michele D’Ambrosio may publish in the future.

Co-authorship network of co-authors of Michele D’Ambrosio

This figure shows the co-authorship network connecting the top 25 collaborators of Michele D’Ambrosio. A scholar is included among the top collaborators of Michele D’Ambrosio 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 Michele D’Ambrosio. Michele D’Ambrosio 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

Vannocci, Pietro, Samuele Segoni, Elena Benedetta Masi, et al.. (2022). Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling. Data. 7(3). 37–37. 7 indexed citations

Bicocchi, Gabriele, Veronica Tofani, Michele D’Ambrosio, et al.. (2019). Geotechnical and hydrological characterization of hillslope deposits for regional landslide prediction modeling. Bulletin of Engineering Geology and the Environment. 78(7). 4875–4891. 50 indexed citations

Salvatici, Teresa, Veronica Tofani, Guglielmo Rossi, et al.. (2018). Application of a physically based model to forecast shallow landslides at a regional scale. Natural hazards and earth system sciences. 18(7). 1919–1935. 81 indexed citations

Salvatici, Teresa, Veronica Tofani, Guglielmo Rossi, et al.. (2018). Regional physically based landslide early warning modelling: soil parameterisation and validation of the results. 3 indexed citations

Tofani, Veronica, Gabriele Bicocchi, Giuseppe Rossi, et al.. (2017). Soil characterization for shallow landslides modeling: a case study in the Northern Apennines (Central Italy). Landslides. 14(2). 755–770. 107 indexed citations

Pazzi, Veronica, et al.. (2016). H/V measurements as an effective tool for the reliable detection of landslide slip surfaces: Case studies of Castagnola (La Spezia, Italy) and Roccalbegna (Grosseto, Italy). Physics and Chemistry of the Earth Parts A/B/C. 98. 136–153. 61 indexed citations

Bicocchi, Gabriele, Michele D’Ambrosio, Pietro Vannocci, et al.. (2015). Preliminary assessment of the factors controlling the geotechnical and hydrological properties in the hillslope deposits of Eastern Tuscany (Central Italy). Florence Research (University of Florence). 865–874. 6 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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