Francesco Corona

3.3k citations
78 papers · 1.4k indexed · h-index 18
Topics
Fault Detection and Control Systems (16 papers)Advanced Control Systems Optimization (14 papers)Neural Networks and Applications (13 papers)
Partner nations
FinlandItalyBrazil

In The Last Decade

Francesco Corona

77 papers receiving 1.3k citations

Peers

Francesco Corona
Comparison fields: 5 of 155
  • Control and Systems Engineering 269
  • Water Science and Technology 232
  • Artificial Intelligence 216
  • Industrial and Manufacturing Engineering 200
  • Pollution 157
Replace Jingjie Zhang with:
Jingjie Zhang China
Spyros A. Svoronos United States
Peng Peng China
Xi Xi
Bingxiang Liu China
Guoning Chen United States
Alain Vande Wouwer Belgium
Qing Wang China
Uwe Thissen Netherlands
Francesco Corona relative to Jingjie Zhang China Jingjie Zhang's profile →
Citations per field
00.5×2.6×
Jingjie Zhang · 1×
Citations per year

Countries citing papers authored by Francesco Corona

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Corona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Corona

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Corona. A scholar is included among the top collaborators of Francesco Corona 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 Francesco Corona. Francesco Corona 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
#WorkIndexed citations
1 1
2 1
3 4
4 1
5 17
6 1
7 12
8 9
9 8
10 121
11 7
12
ELMVIS: A nonlinear visualization technique using random permutations and ELMs
1
13 18
14 6
15 3
16 4
17 4
18
Using the Delta Test for Variable Selection
29
19
Linear Projection based on Noise Variance Estimation - Application to Spectral Data.
3
20
Determination of the Mahalanobis matrix using nonparametric noise estimations
4

About Francesco Corona

Francesco Corona is a scholar working on Control and Systems Engineering, Statistics and Probability and Pollution, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (16 papers), Advanced Control Systems Optimization (14 papers) and Neural Networks and Applications (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (200 citations), Water Science and Technology (232 citations) and Pollution (157 citations). Francesco Corona has collaborated with scholars based in Finland, Italy and Brazil. Frequent co-authors include Michela Mulas, Riku Vahala, Henri Haimi, Amaury Lendasse, Heinz Singer, Juliane Hollender, Martin Loos, Christian Gerber, Mari Heinonen and Roberto Baratti. Their work appears in journals such as Environmental Science & Technology, Analytical Chemistry and Water Research.

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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