Francesca Mangili

90 total papers · 1.5k total citations
45 papers, 735 citations indexed

About

Francesca Mangili is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, Francesca Mangili has authored 45 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Control and Systems Engineering and 7 papers in Statistics and Probability. Recurrent topics in Francesca Mangili's work include Fault Detection and Control Systems (9 papers), Bayesian Methods and Mixture Models (6 papers) and Human Mobility and Location-Based Analysis (5 papers). Francesca Mangili is often cited by papers focused on Fault Detection and Control Systems (9 papers), Bayesian Methods and Mixture Models (6 papers) and Human Mobility and Location-Based Analysis (5 papers). Francesca Mangili collaborates with scholars based in Switzerland, Italy and France. Francesca Mangili's co-authors include Enrico Zio, Piero Baraldi, Alessio Benavoli, Francesco Cadini, Marco Zaffalon, Francesca Cellina, Giorgio Corani, Martin Raubal, Dominik Bucher and Fabrizio Ruggeri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Scientific Reports.

In The Last Decade

Francesca Mangili

41 papers receiving 707 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Francesca Mangili 265 161 118 117 100 45 735
Pierre Dersin 476 1.8× 164 1.0× 199 1.7× 125 1.1× 70 0.7× 48 819
José Torres Farinha 191 0.7× 118 0.7× 112 0.9× 69 0.6× 68 0.7× 76 820
Márcia L. Baptista 261 1.0× 134 0.8× 102 0.9× 86 0.7× 53 0.5× 37 736
Hanlin Liu 147 0.6× 288 1.8× 86 0.7× 44 0.4× 229 2.3× 43 792
Ning Yang 144 0.5× 71 0.4× 77 0.7× 177 1.5× 44 0.4× 53 750
Xiaofei Wang 147 0.6× 216 1.3× 65 0.6× 41 0.4× 22 0.2× 70 659
Jian Zhou 204 0.8× 122 0.8× 45 0.4× 61 0.5× 79 0.8× 41 636
Jiacheng Xie 214 0.8× 60 0.4× 214 1.8× 59 0.5× 49 0.5× 104 847
Yijun Cheng 209 0.8× 88 0.5× 65 0.6× 173 1.5× 24 0.2× 43 632
Jianzhong Sun 311 1.2× 173 1.1× 137 1.2× 47 0.4× 93 0.9× 46 687

Countries citing papers authored by Francesca Mangili

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Mangili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Mangili

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

All Works

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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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