Mario Martina

1.9k total citations
61 papers, 1.3k citations indexed

About

Mario Martina is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Mario Martina has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 21 papers in Water Science and Technology and 15 papers in Atmospheric Science. Recurrent topics in Mario Martina's work include Flood Risk Assessment and Management (32 papers), Hydrology and Watershed Management Studies (20 papers) and Hydrology and Drought Analysis (20 papers). Mario Martina is often cited by papers focused on Flood Risk Assessment and Management (32 papers), Hydrology and Watershed Management Studies (20 papers) and Hydrology and Drought Analysis (20 papers). Mario Martina collaborates with scholars based in Italy, Portugal and China. Mario Martina's co-authors include E. Todini, Rui Figueiredo, Francesco Dottori, Alessandro Simoni, Matteo Berti, S. Franceschini, Marco Pizziolo, Daniela Molinari, Anna Rita Scorzini and Brunella Bonaccorso and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Water Resources Research and Journal of Hydrology.

In The Last Decade

Mario Martina

57 papers receiving 1.3k citations

Peers

Mario Martina

GPC

WST

MMPL

Mahesh Kumar Jat India

Giuseppe Formetta Italy

Iman Mallakpour United States

Lindsay Beevers United Kingdom

Junnan Xiong China

Sutat Weesakul Thailand

Jorge A. Ramı́rez United States

Karem Chokmani Canada

Rocky Talchabhadel United States

N. K. Goel India

Mahesh Kumar Jat India

Mario Martina

1.2k ×1.3

GPC

320 ×0.7

WST

417 ×1.1

109 ×0.4

MMPL

435 ×2.1

Citations per year, relative to Mario Martina Mario Martina (= 1×) peers Mahesh Kumar Jat

Countries citing papers authored by Mario Martina

Since Specialization

Citations

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

Fields of papers citing papers by Mario Martina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Martina

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Martina. A scholar is included among the top collaborators of Mario Martina 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 Mario Martina. Mario Martina 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

Figueiredo, Rui, et al.. (2025). Flood risk assessment of cultural heritage across countries and spatial scales. International Journal of Disaster Risk Reduction. 118. 105236–105236. 4 indexed citations

Johnson, Kendra, et al.. (2025). Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates. Natural hazards and earth system sciences. 25(5). 1655–1679. 1 indexed citations

Martina, Mario, et al.. (2024). Comparison of deep learning models for milk production forecasting at national scale. Computers and Electronics in Agriculture. 221. 108933–108933. 3 indexed citations

Domeneghetti, Alessio, et al.. (2023). Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River. Water. 15(11). 1980–1980. 7 indexed citations

Figueiredo, Rui, et al.. (2021). The potential of machine learning for weather index insurance. Natural hazards and earth system sciences. 21(8). 2379–2405. 22 indexed citations

Martina, Mario, et al.. (2020). The whole is greater than the sum of its parts: a holistic graph-based assessment approach for natural hazard risk of complex systems. Natural hazards and earth system sciences. 20(2). 521–547. 26 indexed citations

Bonaccorso, Brunella, et al.. (2020). A joint probabilistic index for objective drought identification: the case study of Haiti. Natural hazards and earth system sciences. 20(2). 471–487. 18 indexed citations

Martina, Mario, et al.. (2018). Remote-sensing based model for drought identification. EGU General Assembly Conference Abstracts. 19658. 1 indexed citations

Martina, Mario, et al.. (2018). Toward near real-time flood loss estimation: model structure and data requirements. EGU General Assembly Conference Abstracts. 16108. 1 indexed citations

10.

Martina, Mario, et al.. (2018). Natural hazard risk of complex systems – the whole is more than the sum of its parts: II. A pilot study in Mexico City. 5 indexed citations

11.

Martina, Mario, et al.. (2018). Natural hazard risk of complex systems – the whole is more thanthe sum of its parts: I. A holistic modelling approach based onGraph Theory. Biogeosciences (European Geosciences Union). 5 indexed citations

12.

Figueiredo, Rui, et al.. (2018). Multi-model ensembles for assessment of flood losses and associated uncertainty. Natural hazards and earth system sciences. 18(5). 1297–1314. 49 indexed citations

13.

Figueiredo, Rui, et al.. (2017). Improving accuracy and quantifying uncertainty in flood loss estimations through the use of multi-model ensembles. 3 indexed citations

14.

Dottori, Francesco, Rui Figueiredo, Mario Martina, Daniela Molinari, & Anna Rita Scorzini. (2016). INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis. Natural hazards and earth system sciences. 16(12). 2577–2591. 125 indexed citations

15.

Martina, Mario, et al.. (2015). Development of synthetic flood damage curve by explicit costs analysis. EGUGA. 15536.

16.

Berti, Matteo, et al.. (2012). Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach. EGU General Assembly Conference Abstracts. 5623. 7 indexed citations

17.

Terribile, Fabio, Antonio Coppola, Giuliano Langella, Mario Martina, & Angelo Basile. (2011). Potential and limitations of using soil mapping information to understand landscape hydrology. Hydrology and earth system sciences. 15(12). 3895–3933. 21 indexed citations

18.

Dottori, Francesco, Mario Martina, & E. Todini. (2009). A dynamic rating curve approach to indirect discharge measurement. 10 indexed citations

19.

Borga, Marco, Jean‐Dominique Creutin, Éric Gaumé, et al.. (2008). Flood forecasting and warning for flash flood risk management. Socio-Environmental Systems Modeling. 1 indexed citations

20.

Martina, Mario, et al.. (2006). A Bayesian decision approach to rainfall thresholds based flood warning. Hydrology and earth system sciences. 10(3). 413–426. 116 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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