Matteo Spada

1.5k total citations
48 papers, 1.1k citations indexed

About

Matteo Spada is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Global and Planetary Change. According to data from OpenAlex, Matteo Spada has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics, Probability and Uncertainty, 11 papers in Civil and Structural Engineering and 10 papers in Global and Planetary Change. Recurrent topics in Matteo Spada's work include Risk and Safety Analysis (18 papers), Global Energy Security and Policy (8 papers) and Infrastructure Resilience and Vulnerability Analysis (6 papers). Matteo Spada is often cited by papers focused on Risk and Safety Analysis (18 papers), Global Energy Security and Policy (8 papers) and Infrastructure Resilience and Vulnerability Analysis (6 papers). Matteo Spada collaborates with scholars based in Switzerland, Singapore and Italy. Matteo Spada's co-authors include Peter Burgherr, Stefan Wiemer, Marco Cinelli, Thessa Tormann, Bogdan Enescu, Stefan Hirschberg, Božidar Stojadinović, Edi Kissling, Patrick Gasser and Nicola Piana Agostinetti and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Matteo Spada

46 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Spada Switzerland 17 406 205 152 118 100 48 1.1k
Raffaele De Risi United Kingdom 27 384 0.9× 1.4k 6.8× 105 0.7× 435 3.7× 221 2.2× 115 2.2k
Sonia Giovinazzi New Zealand 19 208 0.5× 1.2k 5.8× 111 0.7× 114 1.0× 100 1.0× 92 1.6k
Luc Chouinard Canada 22 123 0.3× 850 4.1× 43 0.3× 86 0.7× 100 1.0× 107 1.3k
Cheng‐Haw Lee Taiwan 16 396 1.0× 237 1.2× 15 0.1× 56 0.5× 708 7.1× 35 1.4k
Gemma Cremen United Kingdom 19 338 0.8× 389 1.9× 38 0.3× 239 2.0× 54 0.5× 42 1.0k
Peter Meier United States 19 478 1.2× 314 1.5× 19 0.1× 49 0.4× 625 6.3× 58 1.8k
Babak Omidvar Iran 17 33 0.1× 174 0.8× 27 0.2× 103 0.9× 146 1.5× 52 860
Sotirios Argyroudis United Kingdom 29 106 0.3× 2.3k 11.0× 283 1.9× 344 2.9× 110 1.1× 79 2.8k
Elçin Kentel Türkiye 18 22 0.1× 124 0.6× 55 0.4× 155 1.3× 261 2.6× 44 1.4k
W.E. Kastenberg United States 17 27 0.1× 67 0.3× 152 1.0× 87 0.7× 291 2.9× 100 1.1k

Countries citing papers authored by Matteo Spada

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Spada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Spada

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

All Works

20 of 20 papers shown
1.
Spada, Matteo & Peter Burgherr. (2023). Comparative Accident Risk Assessment of Energy System Technologies for the Energy Transition in OECD Countries. DORA PSI (Paul Scherrer Institute). 445–452.
2.
Mignan, Arnaud, Matteo Spada, Peter Burgherr, Ziqi Wang, & Didier Sornette. (2022). Dynamics of severe accidents in the oil & gas energy sector derived from the authoritative ENergy-related severe accident database. PLoS ONE. 17(2). e0263962–e0263962. 9 indexed citations
3.
Cinelli, Marco, et al.. (2020). MCDA Index Tool: an interactive software to develop indices and rankings. Environment Systems & Decisions. 41(1). 82–109. 58 indexed citations
4.
Spada, Matteo & Peter Burgherr. (2020). Comparative Risk Assessment for Fossil Energy Chains Using Bayesian Model Averaging. Energies. 13(2). 295–295. 5 indexed citations
5.
Spada, Matteo, et al.. (2020). Metamodeling for Uncertainty Quantification of a Flood Wave Model for Concrete Dam Breaks. Energies. 13(14). 3685–3685. 24 indexed citations
6.
Gasser, Patrick, Marco Cinelli, Matteo Spada, Peter Burgherr, & Božidar Stojadinović. (2019). Indices under the Spotlight: An Approach to Unveil and Manage the Implicit Trade-offs between Indicators. Proceedings of the 29th European Safety and Reliability Conference (ESREL). 3445–3452. 4 indexed citations
7.
8.
Burgherr, Peter, et al.. (2019). Comparative Risk Assessment of Accidents in the Energy Sector within Different Long-Term Scenarios and Marginal Electricity Supply Mixes. Proceedings of the 29th European Safety and Reliability Conference (ESREL). 1525–1532. 7 indexed citations
9.
Gasser, Patrick, Marco Cinelli, Matteo Spada, et al.. (2019). A review on resilience assessment of energy systems. Sustainable and Resilient Infrastructure. 6(5). 273–299. 117 indexed citations
10.
Spada, Matteo, et al.. (2018). Toward the validation of a National Risk Assessment against historical observations using a Bayesian approach: application to the Swiss case. Journal of Risk Research. 22(11). 1323–1342. 8 indexed citations
11.
Burgherr, Peter, et al.. (2018). Energy-related Severe Accident Database (ENSAD): cloud-based geospatial platform. Big Earth Data. 2(4). 368–394. 8 indexed citations
12.
Spada, Matteo, et al.. (2018). Comparative risk assessment with focus on hydrogen and selected fuel cells: Application to Europe. International Journal of Hydrogen Energy. 43(19). 9470–9481. 18 indexed citations
13.
Sutra, Emilie, Matteo Spada, & Peter Burgherr. (2017). Chemicals usage in stimulation processes for shale gas and deep geothermal systems: A comprehensive review and comparison. Renewable and Sustainable Energy Reviews. 77. 1–11. 33 indexed citations
14.
Cinelli, Marco, et al.. (2017). Classification models for the risk assessment of energy accidents in the natural gas sector. Repository for Publications and Research Data (ETH Zurich). 112–120. 1 indexed citations
15.
Spada, Matteo & Peter Burgherr. (2015). An aftermath analysis of the 2014 coal mine accident in Soma, Turkey: Use of risk performance indicators based on historical experience. Accident Analysis & Prevention. 87. 134–140. 34 indexed citations
16.
Wiemer, Stefan, et al.. (2013). Sibyl: a system for evaluating the performances of ideal Earthquake Early Warning based on stochastic seismicity models. AGUFM. 2013. 1 indexed citations
17.
Spada, Matteo, Irene Bianchi, Edi Kissling, Nicola Piana Agostinetti, & Stefan Wiemer. (2013). Combining controlled-source seismology and receiver function information to derive 3-D Moho topography for Italy. Geophysical Journal International. 194(2). 1050–1068. 121 indexed citations
18.
Sørensen, Mathilde B., Matteo Spada, Andrey Babeyko, Stefan Wiemer, & Gottfried Grünthal. (2011). Probabilistic tsunami hazard in the Mediterranean Sea. Journal of Geophysical Research Atmospheres. 117(B1). 116 indexed citations
19.
Spada, Matteo, Stefan Wiemer, & Edi Kissling. (2011). Quantifying a Potential Bias in Probabilistic Seismic Hazard Assessment: Seismotectonic Zonation with Fractal Properties. Bulletin of the Seismological Society of America. 101(6). 2694–2711. 11 indexed citations
20.
Rulli, Maria Cristina, Matteo Spada, Silvia Bozzi, Daniele Bocchiola, & R. Rosso. (2005). Modelling sediment yield in burned areas. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2. 162–170. 2 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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