Simone Bassis

497 total citations
34 papers, 264 citations indexed

About

Simone Bassis is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Simone Bassis has authored 34 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 5 papers in Computational Theory and Mathematics. Recurrent topics in Simone Bassis's work include Neural Networks and Applications (6 papers), Machine Learning and Algorithms (5 papers) and Rough Sets and Fuzzy Logic (4 papers). Simone Bassis is often cited by papers focused on Neural Networks and Applications (6 papers), Machine Learning and Algorithms (5 papers) and Rough Sets and Fuzzy Logic (4 papers). Simone Bassis collaborates with scholars based in Italy, Switzerland and Canada. Simone Bassis's co-authors include Bruno Apolloni, Anna Esposito, Francesco Carlo Morabito, Eros Pasero, Dario Malchiodi, Sabrina Gaito, Witold Pedrycz, Ilaria Spalla, P. Scarpa and Chiara Locatelli and has published in prestigious journals such as Brain Research Reviews, Information Sciences and Neurocomputing.

In The Last Decade

Simone Bassis

32 papers receiving 256 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simone Bassis Italy 9 93 45 42 38 33 34 264
Anastasios N. Angelopoulos United States 7 97 1.0× 25 0.6× 13 0.3× 13 0.3× 24 0.7× 20 275
Nicandro Cruz-Ramírez Mexico 11 214 2.3× 8 0.2× 17 0.4× 44 1.2× 20 0.6× 38 372
Hanuman Verma India 9 172 1.8× 18 0.4× 57 1.4× 32 0.8× 22 0.7× 13 426
Yanpeng Qu China 13 248 2.7× 8 0.2× 29 0.7× 68 1.8× 15 0.5× 49 388
Leon Bobrowski Poland 8 142 1.5× 32 0.7× 21 0.5× 25 0.7× 16 0.5× 26 248
Stefano Ermon United States 8 99 1.1× 18 0.4× 13 0.3× 20 0.5× 15 0.5× 33 198
Swarup Kr Ghosh India 11 84 0.9× 6 0.1× 40 1.0× 24 0.6× 11 0.3× 27 236
Gonzalo Ramos-Jiménez Spain 9 426 4.6× 11 0.2× 44 1.0× 10 0.3× 23 0.7× 11 552
Yasser El-Sonbaty Egypt 11 263 2.8× 17 0.4× 15 0.4× 32 0.8× 7 0.2× 29 365
Patryk Orzechowski United States 7 275 3.0× 11 0.2× 15 0.4× 31 0.8× 16 0.5× 32 416

Countries citing papers authored by Simone Bassis

Since Specialization
Citations

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

Fields of papers citing papers by Simone Bassis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Bassis

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Bassis. A scholar is included among the top collaborators of Simone Bassis 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 Simone Bassis. Simone Bassis 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
1.
Bassis, Simone, Anna Esposito, Francesco Carlo Morabito, & Eros Pasero. (2016). Advances in neural networks computational intelligence for ICT. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations
2.
Pasero, Eros, Francesco Carlo Morabito, Anna Esposito, & Simone Bassis. (2016). Advances in Neural Networks. Smart innovation, systems and technologies. 61 indexed citations
3.
Locatelli, Chiara, Simone Bassis, S. Crosara, et al.. (2016). Preliminary Investigation of Cardiovascular–Renal Disorders in Dogs with Chronic Mitral Valve Disease. Journal of Veterinary Internal Medicine. 30(5). 1612–1618. 35 indexed citations
4.
Apolloni, Bruno, et al.. (2015). Social things: Now we can. 9(1). 25–41. 1 indexed citations
5.
Apolloni, Bruno, Simone Bassis, Anna Esposito, & Francesco Carlo Morabito. (2012). Neural Nets and Surroundings. Smart innovation, systems and technologies. 9 indexed citations
6.
Apolloni, Bruno, et al.. (2011). Mobility Timing for Agent Communities, a Cue for Advanced Connectionist Systems. IEEE Transactions on Neural Networks. 22(12). 2032–2049. 1 indexed citations
7.
Apolloni, Bruno & Simone Bassis. (2011). Confidence About Possible Explanations. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 41(6). 1639–1653. 3 indexed citations
8.
Apolloni, Bruno, Simone Bassis, & M. Marinaro. (2009). New Directions in Neural Networks: 18th Italian Workshop on Neural Networks WIRN 2008 - Volume 193 Frontiers in Artificial Intelligence and Applications. IOS Press eBooks. 3 indexed citations
9.
Apolloni, Bruno, et al.. (2009). Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009. 1 indexed citations
10.
Apolloni, Bruno, Simone Bassis, & M. Marinaro. (2009). Proceedings of the 2009 conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008. 1 indexed citations
11.
Apolloni, Bruno, Simone Bassis, & M. Marinaro. (2009). New directions in neural networks : 18th italian workshop on neural networks: WIRN 2008. 1 indexed citations
12.
Apolloni, Bruno, et al.. (2009). Statistical Parameter Identification of Analog Integrated Circuit Reverse Models. Lecture notes in computer science. 449–458. 1 indexed citations
13.
Apolloni, Bruno, Simone Bassis, Dario Malchiodi, & Witold Pedrycz. (2008). Interpolating support information granules. Neurocomputing. 71(13-15). 2433–2445. 8 indexed citations
14.
Apolloni, Bruno, Witold Pedrycz, Simone Bassis, & Dario Malchiodi. (2008). The Puzzle of Granular Computing. Studies in computational intelligence. 15 indexed citations
15.
Apolloni, Bruno, Simone Bassis, Sabrina Gaito, & Dario Malchiodi. (2007). Appreciation of Medical Treatments Through Confidence Intervals. Current Pharmaceutical Design. 13(15). 1545–1570. 9 indexed citations
16.
Apolloni, Bruno, Simone Bassis, Alberto Clivio, Sabrina Gaito, & Dario Malchiodi. (2007). Modeling individual’s aging within a bacterial population using a pi-calculus paradigm. Natural Computing. 6(1). 33–53.
17.
Apolloni, Bruno & Simone Bassis. (2007). A feed-forward neural logic based on synaptic and volume transmission. Brain Research Reviews. 55(1). 108–118. 3 indexed citations
18.
Apolloni, Bruno, Simone Bassis, Sabrina Gaito, & Dario Malchiodi. (2006). Tight bounds for SVM classification error. 1. 5–8. 1 indexed citations
19.
Apolloni, Bruno, Simone Bassis, Sabrina Gaito, & Dario Malchiodi. (2005). Elementary team strategies in a monotone game. Nonlinear Analysis. 64(2). 310–328. 3 indexed citations
20.
Apolloni, Bruno, Simone Bassis, Sabrina Gaito, Dario Malchiodi, & Italo Zoppis. (2005). Controlling the losing probability in a monotone game. Information Sciences. 176(10). 1395–1416. 7 indexed citations

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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