R. Cancelliere

30.9k total citations
20 papers, 85 citations indexed

About

R. Cancelliere is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Astronomy and Astrophysics. According to data from OpenAlex, R. Cancelliere has authored 20 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 3 papers in Astronomy and Astrophysics. Recurrent topics in R. Cancelliere's work include Neural Networks and Applications (8 papers), Machine Learning and ELM (5 papers) and Adaptive optics and wavefront sensing (3 papers). R. Cancelliere is often cited by papers focused on Neural Networks and Applications (8 papers), Machine Learning and ELM (5 papers) and Adaptive optics and wavefront sensing (3 papers). R. Cancelliere collaborates with scholars based in Italy, France and Bulgaria. R. Cancelliere's co-authors include M. Gai, Roberto Gemello, Patrick Gallinari, F. Murgia, M. Anselmino, Luca Rubini, Angela Slavova, Patrick Gallinari, Davide Cavagnino and Marco Botta and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Neurocomputing and Neural Networks.

In The Last Decade

R. Cancelliere

19 papers receiving 80 citations

Peers

R. Cancelliere
Comparison fields: 5 of 44
  • Artificial Intelligence 31
  • Computer Vision and Pattern Recognition 16
  • Statistical and Nonlinear Physics 10
  • Astronomy and Astrophysics 9
  • Control and Systems Engineering 9
Replace A. S. van Amesfoort with:
A. S. van Amesfoort Netherlands
Greg Yang United States
E. V. Bouhova-Thacker United Kingdom
X. Vilasís-Cardona Spain
Pierre-André Savalle France
Dimitris C. Dracopoulos United Kingdom
Dave Benson United Kingdom
Philipp Petersen Austria
J. Y. Shi United States
Florian Schäfer United States
A. S. van Amesfoort Netherlands View profile →
Citations per field, relative to R. Cancelliere
R. Cancelliere · 1×
Citations per year, relative to R. Cancelliere
R. Cancelliere · 1×

Countries citing papers authored by R. Cancelliere

Since Specialization
Citations

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

Fields of papers citing papers by R. Cancelliere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Cancelliere

This figure shows the co-authorship network connecting the top 25 collaborators of R. Cancelliere. A scholar is included among the top collaborators of R. Cancelliere 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 R. Cancelliere. R. Cancelliere 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 2
2 3
3 4
4 2
5 3
6 8
7 1
8 9
9 4
10 2
11 2
12 1
13 5
14 3
15 3
16 1
17 12
18 4
19 8
20 8

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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