Mariaelena Cama

921 total citations
14 papers, 749 citations indexed

About

Mariaelena Cama is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Mariaelena Cama has authored 14 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management, Monitoring, Policy and Law, 7 papers in Global and Planetary Change and 5 papers in Atmospheric Science. Recurrent topics in Mariaelena Cama's work include Landslides and related hazards (10 papers), Fire effects on ecosystems (5 papers) and Cryospheric studies and observations (4 papers). Mariaelena Cama is often cited by papers focused on Landslides and related hazards (10 papers), Fire effects on ecosystems (5 papers) and Cryospheric studies and observations (4 papers). Mariaelena Cama collaborates with scholars based in Italy, Germany and Saudi Arabia. Mariaelena Cama's co-authors include Edoardo Rotigliano, Luigi Lombardo, Christian Conoscenti, Michael Märker, Valerio Agnesi, N.A. Caraballo-Arias, Michael Maerker, Felix Bachofer, Marj Tonini and Alberto Bosino and has published in prestigious journals such as Geomorphology, Earth Surface Processes and Landforms and Natural Hazards.

In The Last Decade

Mariaelena Cama

14 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mariaelena Cama Italy	10	502	420	224	170	136	14	749
Christos Polykretis Greece	15	416 0.8×	373 0.9×	154 0.7×	146 0.9×	87 0.6×	23	711
Giacomo Pepe Italy	16	559 1.1×	348 0.8×	256 1.1×	195 1.1×	56 0.4×	34	886
Nilanchal Patel India	17	284 0.6×	333 0.8×	114 0.5×	225 1.3×	112 0.8×	48	727
Netra R. Regmi United States	11	542 1.1×	416 1.0×	73 0.3×	182 1.1×	89 0.7×	16	701
Maria Giuseppina Persichillo Italy	9	323 0.6×	192 0.5×	172 0.8×	96 0.6×	41 0.3×	17	543
Carla Iadanza Italy	8	593 1.2×	379 0.9×	79 0.4×	241 1.4×	44 0.3×	17	746
Seyed Mahmoud Fatemi Aghda Iran	13	498 1.0×	437 1.0×	76 0.3×	109 0.6×	136 1.0×	43	892
Miloš Marjanović Serbia	9	569 1.1×	385 0.9×	63 0.3×	148 0.9×	80 0.6×	24	761
Huichan Chai China	9	640 1.3×	548 1.3×	60 0.3×	171 1.0×	100 0.7×	13	886
Krishna Chandra Devkota Nepal	5	873 1.7×	714 1.7×	87 0.4×	225 1.3×	117 0.9×	9	1.0k

Countries citing papers authored by Mariaelena Cama

Since Specialization

Citations

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

Fields of papers citing papers by Mariaelena Cama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariaelena Cama. 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 Mariaelena Cama. The network helps show where Mariaelena Cama may publish in the future.

Co-authorship network of co-authors of Mariaelena Cama

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

All Works

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14 of 14 papers shown

Cama, Mariaelena, Calogero Schillaci, Jan Kropáček, et al.. (2020). A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands. Geosciences. 10(7). 248–248. 34 indexed citations

Tonini, Marj & Mariaelena Cama. (2019). Spatio-temporal pattern distribution of landslides causing damage in Switzerland. Landslides. 16(11). 2103–2113. 14 indexed citations

Cama, Mariaelena, Calogero Schillaci, Jan Kropáček, Volker Hochschild, & Michael Maerker. (2017). Modelling soil erosion in a head catchment of Jemma Basin on the Ethiopian highlands. EGU General Assembly Conference Abstracts. 1458. 1 indexed citations

Romanescu, Gheorghe, Sergey Chalov, Cristian Constantin Stoleriu, et al.. (2017). Geomorphologic map of the 1st Mutnaya River, Southeastern Kamchatka, Russia. Journal of Mountain Science. 14(12). 2373–2390. 6 indexed citations

Cama, Mariaelena, Luigi Lombardo, Christian Conoscenti, & Edoardo Rotigliano. (2017). Improving transferability strategies for debris flow susceptibility assessment: Application to the Saponara and Itala catchments (Messina, Italy). Geomorphology. 288. 52–65. 80 indexed citations

Conoscenti, Christian, et al.. (2017). Assessment of Gully Erosion Susceptibility Using Multivariate Adaptive Regression Splines and Accounting for Terrain Connectivity. Land Degradation and Development. 29(3). 724–736. 75 indexed citations

Cama, Mariaelena, et al.. (2016). The role of multicollinearity in landslide susceptibility assessment by means of Binary Logistic Regression: comparison between VIF and AIC stepwise selection. EGU General Assembly Conference Abstracts. 4 indexed citations

Cama, Mariaelena, Christian Conoscenti, Luigi Lombardo, & Edoardo Rotigliano. (2016). Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy). Environmental Earth Sciences. 75(3). 93 indexed citations

Lombardo, Luigi, Felix Bachofer, Mariaelena Cama, Michael Märker, & Edoardo Rotigliano. (2016). Exploiting Maximum Entropy method and ASTER data for assessing debris flow and debris slide susceptibility for the Giampilieri catchment (north‐eastern Sicily, Italy). Earth Surface Processes and Landforms. 41(12). 1776–1789. 57 indexed citations

10.

Conoscenti, Christian, Edoardo Rotigliano, Mariaelena Cama, et al.. (2016). Exploring the effect of absence selection on landslide susceptibility models: A case study in Sicily, Italy. Geomorphology. 261. 222–235. 117 indexed citations

11.

Cama, Mariaelena, Luigi Lombardo, Christian Conoscenti, Valerio Agnesi, & Edoardo Rotigliano. (2015). Predicting storm-triggered debris flow events: application to the 2009 Ionian Peloritan disaster (Sicily, Italy). Natural hazards and earth system sciences. 15(8). 1785–1806. 48 indexed citations

12.

Lombardo, Luigi, Mariaelena Cama, Christian Conoscenti, Michael Märker, & Edoardo Rotigliano. (2015). Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messina (Sicily, southern Italy). Natural Hazards. 79(3). 1621–1648. 153 indexed citations

13.

Lombardo, Luigi, Mariaelena Cama, Michael Maerker, & Edoardo Rotigliano. (2014). A test of transferability for landslides susceptibility models under extreme climatic events: application to the Messina 2009 disaster. Natural Hazards. 74(3). 1951–1989. 66 indexed citations

14.

Lombardo, Luigi, Valerio Agnesi, Christian Conoscenti, et al.. (2012). A multi-scale regional landslide susceptibility assessment approach: the SUFRA_SICILIA (SUscettibilità da FRAna in Sicilia) project. 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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