Silvia Bianconcini

540 total citations
26 papers, 320 citations indexed

About

Silvia Bianconcini is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Silvia Bianconcini has authored 26 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 6 papers in Economics and Econometrics. Recurrent topics in Silvia Bianconcini's work include Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (6 papers) and Image and Signal Denoising Methods (4 papers). Silvia Bianconcini is often cited by papers focused on Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (6 papers) and Image and Signal Denoising Methods (4 papers). Silvia Bianconcini collaborates with scholars based in Italy, Netherlands and Canada. Silvia Bianconcini's co-authors include Estela Bee Dagum, Peter Maaß, Theodore Alexandrov, Tucker McElroy, Silvia Cagnone, Kenneth A. Bollen, Sara Zanni, Mariolina Longo, Laura Toschi and Matteo Mura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Economics and Statistics in Medicine.

In The Last Decade

Silvia Bianconcini

24 papers receiving 303 citations

Peers

Silvia Bianconcini
Comparison fields: 5 of 94
  • Economics and Econometrics 71
  • Management Science and Operations Research 56
  • Statistics and Probability 53
  • Artificial Intelligence 47
  • Signal Processing 42
Replace Jeremy Penzer with:
Jeremy Penzer United Kingdom
Carlo Grillenzoni Italy
Nicholas A. James United States
Miguel de Carvalho United Kingdom
Nan‐Jung Hsu Taiwan
А. В. Иванов Ukraine
Gabriel A. Rodriguez‐Yam Mexico
Jean‐François Coeurjolly France
Estela Bee Dagum Italy
Aurea Grané Spain
Jeremy Penzer United Kingdom View profile →
Citations per field, relative to Silvia Bianconcini
Silvia Bianconcini · 1×
Citations per year, relative to Silvia Bianconcini
Silvia Bianconcini · 1×

Countries citing papers authored by Silvia Bianconcini

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Bianconcini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Bianconcini

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Bianconcini. A scholar is included among the top collaborators of Silvia Bianconcini 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 Silvia Bianconcini. Silvia Bianconcini 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 1
2 2
3 1
4 1
5 2
6 1
7 0
8 8
9 25
10 77
11 1
12 14
13 1
14 17
15 104
16 3
17
Real Time Analysis Based on Reproducing Kernel Henderson Filters/Análisis en tiempo real basado en la reproducción de los filtros de núcleo de Henderson
1
18
Recent developments in short-term trend prediction for real time analysis
1
19
Equivalent reproducing kernels for smoothing spline predictors
3
20 19

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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