Simone Borra
Impact in
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
Papers in
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- Advanced Statistical Methods and Models 4
- Statistical Methods and Inference 2
-
- Neural Networks and Applications 2
- Imbalanced Data Classification Techniques 1
- Co-authors
- Agostino Di Ciaccio (4 shared papers)Sara Poggesi (1 shared paper)Martin Schader (1 shared paper)Emanuela Delbufalo (1 shared paper)Roberto Rocci (1 shared paper)Maurizio Vichi (1 shared paper)Paolo Fiori Nastro (3 shared papers)Massimo Biondi (3 shared papers)
- Journals
- Computational Statistics & Data Analysis (2 papers)Journal of Management Development (1 paper)METRON (1 paper)Rivista di psichiatria (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
In The Last Decade
Simone Borra
10 papers receiving 283 citations
Peers
Comparison fields: 5 of 107
- Statistics and Probability 33
- Computational Mathematics 2
- Health Informatics 3
- Environmental Engineering 30
- Artificial Intelligence 63
Countries citing papers authored by Simone Borra
This map shows the geographic impact of Simone Borra'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 Simone Borra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Borra more than expected).
Fields of papers citing papers by Simone Borra
This network shows the impact of papers produced by Simone Borra. 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 Simone Borra. The network helps show where Simone Borra may publish in the future.
Co-authors
The 12 scholars most cited alongside Simone Borra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 170 | |
| 2 | 2002 | 48 | |
| 3 | 2001 | 35 | |
| 4 | 2016 | 27 | |
| 5 | 2009 | 5 | |
| 6 | 2008 | 4 | |
| 7 | Performance evaluation of Bagging and Boosting in nonparametric regression | 2001 | 2 |
| 8 | 2002 | 1 | |
| 9 | Disagio mentale, percezione dello stress ed help-seeking in una popolazione di studenti universitari fuorisede | 2009 | 1 |
| 10 | 2024 | 1 | |
| 11 | 2021 | 1 | |
| 12 | Estimators of extra-sample error for non- parametric methods. A comparison based on extensive simulations. | 2008 | 1 |
About Simone Borra
Simone Borra is a scholar working on Statistics and Probability, Artificial Intelligence, Social Psychology, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 12 papers that have together received 296 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Oil and Gas Production Techniques (2 papers), Neural Networks and Applications (2 papers), Face and Expression Recognition (2 papers), Statistical Methods and Inference (2 papers), Imbalanced Data Classification Techniques (1 paper), Psychological Well-being and Life Satisfaction (1 paper) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Statistics and Probability (33 citations), Computational Mathematics (2 citations), Health Informatics (3 citations), Environmental Engineering (30 citations) and Artificial Intelligence (63 citations). Simone Borra has collaborated with scholars based in Italy, Germany and Angola. Frequent co-authors include Agostino Di Ciaccio, Sara Poggesi, Martin Schader, Emanuela Delbufalo, Roberto Rocci, Maurizio Vichi, Paolo Fiori Nastro, Massimo Biondi, Marco Armando and Francesca Fagioli. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Management Development, METRON, Rivista di psichiatria and CERN Document Server (European Organization for Nuclear 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.