Francesca Calabrese

490 total citations
27 papers, 284 citations indexed

About

Francesca Calabrese is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Francesca Calabrese has authored 27 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 5 papers in Artificial Intelligence and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Francesca Calabrese's work include Fault Detection and Control Systems (8 papers), Machine Fault Diagnosis Techniques (8 papers) and Anomaly Detection Techniques and Applications (4 papers). Francesca Calabrese is often cited by papers focused on Fault Detection and Control Systems (8 papers), Machine Fault Diagnosis Techniques (8 papers) and Anomaly Detection Techniques and Applications (4 papers). Francesca Calabrese collaborates with scholars based in Italy, Germany and India. Francesca Calabrese's co-authors include Alberto Regattieri, Marco Bortolini, Francesco Gabriele Galizia, Francesco Pilati, Angelo Corallo, Lucia Botti, Mauro Gamberi, Cristina Mora, Alessandro Margherita and Matteo Gabellini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sustainability.

In The Last Decade

Francesca Calabrese

26 papers receiving 277 citations

Peers

Francesca Calabrese
Comparison fields: 5 of 64
  • Control and Systems Engineering 97
  • Industrial and Manufacturing Engineering 63
  • Artificial Intelligence 54
  • Mechanical Engineering 39
  • Ocean Engineering 29
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Citations per field, relative to Francesca Calabrese
Francesca Calabrese · 1×
Citations per year, relative to Francesca Calabrese
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Countries citing papers authored by Francesca Calabrese

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Calabrese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Calabrese

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Calabrese. A scholar is included among the top collaborators of Francesca Calabrese 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 Calabrese. Francesca Calabrese 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
# Work Indexed citations
1 0
2 11
3 7
4 2
5 9
6 5
7 38
8 14
9 16
10 46
11 3
12 21
13
Data-driven prognostics: From an offline and supervised analysis to an innovative, online and unsupervised methodology
1
14 18
15 2
16
Components monitoring and intelligent diagnosis tools for Prognostic Health Management approach
3
17 2
18 1
19 29
20 6

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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