Simone Bassis

497 citations
34 papers · 264 · h-index 9

Impact in

Papers in

Simone Bassis

32 papers receiving 256 citations

Peers

Simone Bassis
Comparison fields: 5 of 94
  • Statistics and Probability 45
  • Management Science and Operations Research 42
  • Artificial Intelligence 93
  • Computational Theory and Mathematics 38
  • Statistics, Probability and Uncertainty 15
Replace Anastasios N. Angelopoulos with:
Anastasios N. Angelopoulos United States
Stefano Ermon United States
Nicandro Cruz-Ramírez Mexico
Patryk Orzechowski United States
R.D. Turner Germany
Srikanth K. Iyer India
Hongseok Namkoong United States
Zheyan Shen China
T. Krishnan India
Simone Bassis relative to Anastasios N. Angelopoulos United States Anastasios N. Angelopoulos's profile →
Citations per field
00.5×10×20×31×
Anastasios N. Angelopoulos · 1×
Citations per year

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-authors

The 22 scholars most cited alongside Simone Bassis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simone Bassis Line = papers co-authored together Simone Bassis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201661
2 201644
3 201635
4 200815
5 200913
6 200911
7 20079
8 20129
9 20088
10 20057
11 20076
12 20165
13 20074
14 20154
15
New Directions in Neural Networks: 18th Italian Workshop on Neural Networks WIRN 2008 - Volume 193 Frontiers in Artificial Intelligence and Applications
20093
16 20073
17 20113
18 20053
19
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
20113
20 20113

About Simone Bassis

Simone Bassis is a scholar working on Artificial Intelligence, Statistics and Probability, Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 34 papers that have together received 264 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Machine Learning and Algorithms (5 papers), Rough Sets and Fuzzy Logic (4 papers), Statistical Methods and Inference (3 papers), Machine Learning and Data Classification (3 papers), Advanced Memory and Neural Computing (3 papers), Neural dynamics and brain function (3 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics and Probability (45 citations), Management Science and Operations Research (42 citations), Artificial Intelligence (93 citations), Computational Theory and Mathematics (38 citations) and Statistics, Probability and Uncertainty (15 citations). Simone Bassis has collaborated with scholars based in Italy, Switzerland and Canada. Frequent co-authors include Bruno Apolloni, Anna Esposito, Francesco Carlo Morabito, Eros Pasero, Dario Malchiodi, Sabrina Gaito, Witold Pedrycz, Cecilia Quintavalla, Saverio Paltrinieri and S. Crosara. Their work appears in journals such as Information Sciences, Nonlinear Analysis Hybrid Systems, Nonlinear Analysis, Natural Computing and Brain Research Reviews.

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.

Explore authors with similar magnitude of impact