Federico Amato

814 total citations
27 papers, 485 citations indexed

About

Federico Amato is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Atmospheric Science. According to data from OpenAlex, Federico Amato has authored 27 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 8 papers in Management, Monitoring, Policy and Law and 6 papers in Atmospheric Science. Recurrent topics in Federico Amato's work include Land Use and Ecosystem Services (9 papers), Urban Planning and Valuation (7 papers) and Remote Sensing and Land Use (5 papers). Federico Amato is often cited by papers focused on Land Use and Ecosystem Services (9 papers), Urban Planning and Valuation (7 papers) and Remote Sensing and Land Use (5 papers). Federico Amato collaborates with scholars based in Italy, Switzerland and Germany. Federico Amato's co-authors include Beniamino Murgante, Federico Martellozzo, Keith Clarke, Gabriele Nolè, Mikhaïl Kanevski, Peter Werle, Robert Mücke, Marj Tonini, Piergiuseppe Pontrandolfi and Claudia Cosentino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Federico Amato

27 papers receiving 470 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 Amato Italy 12 297 115 81 61 60 27 485
Jinji Ma China 11 388 1.3× 29 0.3× 154 1.9× 110 1.8× 46 0.8× 54 545
Muzaffer Can İban Türkiye 11 257 0.9× 129 1.1× 68 0.8× 116 1.9× 49 0.8× 26 500
Yongqi Chen China 8 262 0.9× 48 0.4× 57 0.7× 44 0.7× 49 0.8× 20 569
Xiaoqing Wu China 14 426 1.4× 89 0.8× 138 1.7× 121 2.0× 30 0.5× 29 644
Veruska Muccione Switzerland 14 263 0.9× 66 0.6× 131 1.6× 43 0.7× 38 0.6× 37 562
Xuesheng Zhao China 14 191 0.6× 28 0.2× 96 1.2× 142 2.3× 34 0.6× 90 592
Argyro Kavvada United States 9 418 1.4× 56 0.5× 173 2.1× 110 1.8× 29 0.5× 10 731
Jaromir Krzyszczak Poland 14 238 0.8× 28 0.2× 100 1.2× 179 2.9× 174 2.9× 49 693
Lawrence Friedl United States 6 197 0.7× 40 0.3× 51 0.6× 71 1.2× 21 0.3× 12 423

Countries citing papers authored by Federico Amato

Since Specialization
Citations

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

Fields of papers citing papers by Federico Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Amato

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Amato. A scholar is included among the top collaborators of Federico Amato 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 Amato. Federico Amato 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.
Amato, Federico, Rainer Strotmann, Roberto Castello, et al.. (2024). Explainable machine learning prediction of edema adverse events in patients treated with tepotinib. Clinical and Translational Science. 17(9). e70010–e70010. 2 indexed citations
2.
Courlet, Perrine, Daniel Abler, Monia Guidi, et al.. (2023). Modeling tumor size dynamics based on real‐world electronic health records and image data in advanced melanoma patients receiving immunotherapy. CPT Pharmacometrics & Systems Pharmacology. 12(8). 1170–1181. 7 indexed citations
3.
Amato, Federico, et al.. (2022). Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential. Stochastic Environmental Research and Risk Assessment. 36(8). 2049–2069. 12 indexed citations
4.
Amato, Federico, et al.. (2022). Spatiotemporal data science: theoretical advances and applications. Stochastic Environmental Research and Risk Assessment. 36(8). 2027–2029. 2 indexed citations
5.
Amato, Federico, et al.. (2021). Cloud-to-Ground lightning nowcasting using Machine Learning. CINECA IRIS Institutial Research Information System (University of Genoa). 1–6. 15 indexed citations
6.
Amato, Federico, et al.. (2021). Wind of change: predicting wind potentials for the energy transition. 1 indexed citations
7.
Saganeiti, Lucia, Federico Amato, Gabriele Nolè, Marco Vona, & Beniamino Murgante. (2020). Early estimation of ground displacements and building damage after seismic events using SAR and LiDAR data: The case of the Amatrice earthquake in central Italy, on 24th August 2016. International Journal of Disaster Risk Reduction. 51. 101924–101924. 19 indexed citations
8.
Amato, Federico, et al.. (2019). Feature selection using simple and efficient machine learning models. Case studies and software tools. EGU General Assembly Conference Abstracts. 4886. 1 indexed citations
9.
Pilogallo, Angela, Gabriele Nolè, Federico Amato, et al.. (2019). Geotourism as a Specialization in the Territorial Context of the Basilicata Region (Southern Italy). Geoheritage. 11(4). 1435–1445. 7 indexed citations
10.
Scorza, Francesco, et al.. (2019). Innovation, technologies, Participation. International Journal of Electronic Governance. 11(1). 1–1. 1 indexed citations
11.
Martellozzo, Federico, Federico Amato, Beniamino Murgante, & Keith Clarke. (2018). Modelling the impact of urban growth on agriculture and natural land in Italy to 2030. Applied Geography. 91. 156–167. 130 indexed citations
12.
Amato, Federico, Marj Tonini, Beniamino Murgante, & Mikhaïl Kanevski. (2018). Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal. Environmental Modelling & Software. 104. 171–187. 33 indexed citations
13.
Cosentino, Claudia, Federico Amato, & Beniamino Murgante. (2018). Population-Based Simulation of Urban Growth: The Italian Case Study. Sustainability. 10(12). 4838–4838. 15 indexed citations
14.
Saganeiti, Lucia, et al.. (2017). VGI and crisis mapping in an emergency situation. Comparison of four case studies: Haiti, Kibera, Kathmandu, Centre Italy. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Amato, Federico, Beniamino Murgante, & Federico Martellozzo. (2017). Projected Impact of Urban Growth on Climate Change. EGU General Assembly Conference Abstracts. 16350. 1 indexed citations
16.
Amato, Federico, et al.. (2016). The Effects of Urban Policies on the Development of Urban Areas. Sustainability. 8(4). 297–297. 51 indexed citations
17.
Amato, Federico, Federico Martellozzo, Gabriele Nolè, & Beniamino Murgante. (2016). Preserving cultural heritage by supporting landscape planning with quantitative predictions of soil consumption. Journal of Cultural Heritage. 23. 44–54. 37 indexed citations
18.
Manganelli, Benedetto, et al.. (2016). The Effects of Socio-Economic Variables in Urban Growth Simulations. Procedia - Social and Behavioral Sciences. 223. 371–378. 3 indexed citations
19.
Amato, Federico, et al.. (2016). A SMAP Supervised Classification of Landsat Images for Urban Sprawl Evaluation. ISPRS International Journal of Geo-Information. 5(7). 109–109. 32 indexed citations
20.
Werle, Peter, et al.. (1998). Near-infrared trace-gas sensors based on room-temperature diode lasers. Applied Physics B. 67(3). 307–315. 43 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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