Federico Mori

622 total citations
30 papers, 428 citations indexed

About

Federico Mori is a scholar working on Civil and Structural Engineering, Geophysics and Management, Monitoring, Policy and Law. According to data from OpenAlex, Federico Mori has authored 30 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Civil and Structural Engineering, 7 papers in Geophysics and 7 papers in Management, Monitoring, Policy and Law. Recurrent topics in Federico Mori's work include Seismic Performance and Analysis (23 papers), Structural Health Monitoring Techniques (13 papers) and Seismic Waves and Analysis (7 papers). Federico Mori is often cited by papers focused on Seismic Performance and Analysis (23 papers), Structural Health Monitoring Techniques (13 papers) and Seismic Waves and Analysis (7 papers). Federico Mori collaborates with scholars based in Italy, Germany and Romania. Federico Mori's co-authors include Amerigo Mendicelli, Massimiliano Moscatelli, Giuseppe Naso, Edoardo Peronace, Daniele Spina, Gino Romagnoli, Gaetano Falcone, Marco Vona, Mauro Dolce and Stefania Fabozzi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing.

In The Last Decade

Federico Mori

29 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Mori Italy 12 324 125 109 33 31 30 428
Rama Mohan Pokhrel United Kingdom 7 247 0.8× 116 0.9× 70 0.6× 47 1.4× 36 1.2× 23 422
Masyhur Irsyam Indonesia 14 384 1.2× 281 2.2× 113 1.0× 21 0.6× 41 1.3× 74 638
Amerigo Mendicelli Italy 8 196 0.6× 103 0.8× 90 0.8× 20 0.6× 23 0.7× 17 268
Caterina Negulescu France 14 354 1.1× 115 0.9× 118 1.1× 41 1.2× 39 1.3× 29 542
Toshihiko Katagiri Japan 5 187 0.6× 85 0.7× 70 0.6× 44 1.3× 27 0.9× 9 325
Ibnu Rusydy Indonesia 10 159 0.5× 128 1.0× 48 0.4× 27 0.8× 29 0.9× 41 336
Dominik H. Lang Norway 15 533 1.6× 123 1.0× 54 0.5× 25 0.8× 19 0.6× 35 611
Άννα Καρατζέτζου Greece 13 344 1.1× 118 0.9× 28 0.3× 28 0.8× 41 1.3× 31 443
F. Cacace Italy 9 283 0.9× 73 0.6× 131 1.2× 50 1.5× 29 0.9× 10 444
Miguel Á. Jaimes Mexico 15 410 1.3× 163 1.3× 44 0.4× 35 1.1× 17 0.5× 62 572

Countries citing papers authored by Federico Mori

Since Specialization
Citations

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

Fields of papers citing papers by Federico Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Mori. A scholar is included among the top collaborators of Federico Mori 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 Federico Mori. Federico Mori 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.
Mori, Federico, et al.. (2025). Characterizing uncertainty and variability in shear wave velocity profiles from the Italian seismic microzonation studies. Engineering Geology. 350. 107997–107997. 1 indexed citations
2.
Mori, Federico & Giuseppe Naso. (2025). An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management. Remote Sensing. 17(10). 1754–1754.
3.
Vona, Marco, et al.. (2023). Measuring the Seismic Resilience of Housing Systems in Italy. Applied Sciences. 13(15). 8944–8944. 1 indexed citations
4.
Ciotoli, Giancarlo, Eric Petermann, Peter Bossew, et al.. (2023). A new perspective in radon risk assessment: Mapping the geological hazard as a first step to define the collective radon risk exposure. The Science of The Total Environment. 912. 169569–169569. 17 indexed citations
5.
Falcone, Gaetano, Annamaria di Lernia, Federico Mori, et al.. (2023). NC92Soil: A computer code for deterministic and stochastic 1D equivalent linear seismic site response analyses. Computers and Geotechnics. 165. 105857–105857. 5 indexed citations
6.
Mori, Federico, et al.. (2022). Ground motion prediction maps using seismic-microzonation data and machine learning. Natural hazards and earth system sciences. 22(3). 947–966. 12 indexed citations
7.
Mendicelli, Amerigo, Gaetano Falcone, Federico Mori, et al.. (2022). Italian seismic amplification factors for peak ground acceleration and peak ground velocity. Journal of Maps. 18(2). 497–507. 11 indexed citations
8.
Mori, Federico, et al.. (2022). Mapping urban limit conditions in the perspective of disaster risk prevention and land management. Italian Journal of Geosciences. 141(2). 167–183. 4 indexed citations
9.
Mori, Federico, et al.. (2022). The Use of SMAV Model for Computing Fragility Curves. Buildings. 12(8). 1213–1213. 5 indexed citations
10.
11.
Mori, Federico, et al.. (2021). Seismic fragility and vulnerability curves for the Italian residential building stock. Structure and Infrastructure Engineering. 19(1). 113–133. 4 indexed citations
12.
Falcone, Gaetano, et al.. (2021). Evaluation of building seismic retrofitting costs foundedon experimental data. The case study of "San Benedetto" School (Norcia, Italy). Italian Journal of Geosciences. 140(3). 365–381. 7 indexed citations
13.
Spina, Daniele, et al.. (2021). A probabilistic simplified Seismic Model from Ambient Vibrations (SMAV) of existing reinforced concrete buildings. Engineering Structures. 238. 112255–112255. 6 indexed citations
14.
Falcone, Gaetano, Amerigo Mendicelli, Federico Mori, et al.. (2021). Seismic amplification maps of Italy based on site-specific microzonation dataset and one-dimensional numerical approach. Engineering Geology. 289. 106170–106170. 49 indexed citations
15.
Falcone, Gaetano, Giuseppe Naso, Federico Mori, et al.. (2021). Effect of Base Conditions in One-Dimensional Numerical Simulation of Seismic Site Response: A Technical Note for Best Practice. SHILAP Revista de lepidopterología. 2(4). 430–441. 5 indexed citations
16.
Falcone, Gaetano, Amerigo Mendicelli, Federico Mori, et al.. (2020). A simplified analysis of the total seismic hazard in Italy. Engineering Geology. 267. 105511–105511. 30 indexed citations
17.
Falcone, Gaetano, Gino Romagnoli, Giuseppe Naso, et al.. (2020). Effect of bedrock stiffness and thickness on numerical simulation of seismic site response. Italian case studies. Soil Dynamics and Earthquake Engineering. 139. 106361–106361. 21 indexed citations
18.
Mori, Federico, et al.. (2020). Fragility Curves of the Urban Road Network Based on the Debris Distributions of Interfering Buildings. Applied Sciences. 10(4). 1289–1289. 26 indexed citations
19.
Mori, Federico, et al.. (2020). Seismic emergency system evaluation: The role of seismic hazard and local effects. Engineering Geology. 270. 105587–105587. 27 indexed citations
20.
Spina, Daniele, et al.. (2018). A probabilistic simplified seismic model of masonry buildings based on ambient vibrations. Bulletin of Earthquake Engineering. 17(2). 985–1007. 20 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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2026