Marj Tonini

1.5k total citations
47 papers, 1.0k citations indexed

About

Marj Tonini is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Environmental Engineering. According to data from OpenAlex, Marj Tonini has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 24 papers in Management, Monitoring, Policy and Law and 9 papers in Environmental Engineering. Recurrent topics in Marj Tonini's work include Fire effects on ecosystems (23 papers), Landslides and related hazards (21 papers) and Flood Risk Assessment and Management (7 papers). Marj Tonini is often cited by papers focused on Fire effects on ecosystems (23 papers), Landslides and related hazards (21 papers) and Flood Risk Assessment and Management (7 papers). Marj Tonini collaborates with scholars based in Switzerland, Italy and Portugal. Marj Tonini's co-authors include Mário Pereira, Joana Parente, Antonio Abellán, Mikhaïl Kanevski, Michael Leuenberger, Paolo Fiorucci, Michel Jaboyedoff, Marco Conedera, Gian Franco Soldatini and Lucia Guidi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Reviews of Geophysics.

In The Last Decade

Marj Tonini

45 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marj Tonini Switzerland	19	658	457	170	142	139	47	1.0k
Muhammad Shafique Pakistan	17	506 0.8×	589 1.3×	184 1.1×	208 1.5×	232 1.7×	56	1.1k
Lifeng Zhang China	21	577 0.9×	385 0.8×	174 1.0×	304 2.1×	114 0.8×	52	1.1k
Chuluong Choi South Korea	11	619 0.9×	445 1.0×	163 1.0×	203 1.4×	253 1.8×	61	1.2k
Elia Quirós Spain	11	302 0.5×	298 0.7×	113 0.7×	109 0.8×	158 1.1×	31	651
Shou‐Hao Chiang Taiwan	17	399 0.6×	465 1.0×	229 1.3×	234 1.6×	81 0.6×	30	792
Neil Sims Australia	15	702 1.1×	153 0.3×	497 2.9×	118 0.8×	177 1.3×	34	1.1k
D.P. Shrestha Netherlands	15	333 0.5×	434 0.9×	214 1.3×	149 1.0×	259 1.9×	49	1.0k
Tianwu Ma China	9	419 0.6×	206 0.5×	137 0.8×	112 0.8×	200 1.4×	20	744
Rajeev Kumar Jaiswal India	9	632 1.0×	318 0.7×	172 1.0×	71 0.5×	472 3.4×	22	1.1k
Daniel Hölbling Austria	21	517 0.8×	802 1.8×	287 1.7×	557 3.9×	232 1.7×	102	1.5k

Countries citing papers authored by Marj Tonini

Since Specialization

Citations

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

Fields of papers citing papers by Marj Tonini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marj Tonini

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

All Works

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20 of 20 papers shown

Lombardo, Luigi, Stefan Steger, Hakan Tanyaş, et al.. (2025). Pan‐European Landslide Risk Assessment: From Theory to Practice. Reviews of Geophysics. 63(1). 5 indexed citations

Murgante, Beniamino, Alfonso Annunziata, & Marj Tonini. (2025). Developing a taxonomy framework for assessing human capital provision: A case study of Southern Italian municipalities. Applied Geography. 179. 103640–103640.

Guzha, Alphonce C., et al.. (2024). Land use land cover change in the African Great Lakes Region: a spatial–temporal analysis and future predictions. Environmental Monitoring and Assessment. 196(9). 852–852. 8 indexed citations

Tonini, Marj, et al.. (2023). Dynamics of agricultural land systems in western Mediterranean areas: a clustering approach based on the self-organizing map. Italian Journal of Agronomy. 18(3). 2199–2199. 5 indexed citations

Trucchia, Andrea, et al.. (2023). Wildfire hazard mapping in the eastern Mediterranean landscape. International Journal of Wildland Fire. 32(3). 417–434. 18 indexed citations

Parente, Joana, et al.. (2023). Quantitative Assessment of the Relationship between Land Use/Land Cover Changes and Wildfires in Southern Europe. Fire. 6(5). 198–198. 12 indexed citations

Trucchia, Andrea, et al.. (2022). Machine-Learning Applications in Geosciences: Comparison of Different Algorithms and Vegetation Classes’ Importance Ranking in Wildfire Susceptibility. Geosciences. 12(11). 424–424. 7 indexed citations

Oriani, Fabio, et al.. (2021). Using data-driven algorithms for semi-automated geomorphological mapping. Stochastic Environmental Research and Risk Assessment. 36(8). 2115–2131. 19 indexed citations

Wang, Nan, Luigi Lombardo, Marj Tonini, et al.. (2021). Spatiotemporal clustering of flash floods in a changing climate (China, 1950–2015). Natural hazards and earth system sciences. 21(7). 2109–2124. 17 indexed citations

10.

Tonini, Marj, et al.. (2020). A Machine Learning-Based Approach for Wildfire Susceptibility Mapping. The Case Study of the Liguria Region in Italy. Geosciences. 10(3). 105–105. 75 indexed citations

11.

Fiorucci, Paolo, et al.. (2019). Application of Machine Learning for Wildfire Susceptibility Mapping in Liguria (Italy). EGU General Assembly Conference Abstracts. 7977. 1 indexed citations

12.

Tonini, Marj, Joana Parente, & Mário Pereira. (2018). Global assessment of rural–urban interface in Portugal related to land cover changes. Natural hazards and earth system sciences. 18(6). 1647–1664. 38 indexed citations

13.

Tonini, Marj, Joana Parente, & Mário Pereira. (2017). Global spatial assessment of WUI and related land cover in Portugal. EGUGA. 4956. 2 indexed citations

14.

Tonini, Marj, Joana Parente, & Mário Pereira. (2017). Global assessment of land cover changes and rural-urban interface in Portugal. 4 indexed citations

15.

Parente, Joana, Mário Pereira, & Marj Tonini. (2016). Space-time clustering analysis of wildfires: The influence of dataset characteristics, fire prevention policy decisions, weather and climate. The Science of The Total Environment. 559. 151–165. 57 indexed citations

16.

Micheletti, Natan, Marj Tonini, & Stuart N. Lane. (2016). Geomorphological activity at a rock glacier front detected with a 3D density-based clustering algorithm. Geomorphology. 278. 287–297. 23 indexed citations

17.

Culot, Laurence, et al.. (2015). NEW RECORDS, RECONFIRMED SITES AND PROPOSALS FOR THE CONSERVATION OF BLACK LION TAMARIN (LEONTOPITHECUS CHRYSOPYGUS) IN THE MIDDLE AND UPPER PARANAPANEMA. Open Repository and Bibliography (University of Liège). 5 indexed citations

18.

Abellán, Antonio, Dario Carrea, A. Loye, et al.. (2012). Understanding precursory rockfalls along cracks. EGU General Assembly Conference Abstracts. 6037. 1 indexed citations

19.

Kanevski, Mikhaïl, et al.. (2010). Geostatistical Analysis of Spatio-Temporal Forest Fire Data. EGUGA. 3235. 1 indexed citations

20.

Giannini, Clelia, et al.. (2001). Spargimento delle acque di vegetazione dei frantoi oleari sul terreno agrario. CINECA IRIS Institutial research information system (University of Pisa). 9–12. 9 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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