Stefania Tomasiello
- Artificial Intelligence top 5%
- Modeling and Simulation top 1%
- Numerical Analysis top 5%
- Mechanics of Materials top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Vincenzo LoiaMatteo GaetaAlfredo VaccaroLuigi RaritàJorge E. Macías‐DíazAngelo GaetaWitold PedryczGiuseppe D’Aniello
- Topics
- Neural Networks and Applications (17 papers)Composite Structure Analysis and Optimization (14 papers)Fractional Differential Equations Solutions (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Sciences
In The Last Decade
Stefania Tomasiello
83 papers receiving 983 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 214
- Modeling and Simulation 214
- Numerical Analysis 180
- Mechanics of Materials 172
- Control and Systems Engineering 125
Countries citing papers authored by Stefania Tomasiello
This map shows the geographic impact of Stefania Tomasiello'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 Stefania Tomasiello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Tomasiello more than expected).
Fields of papers citing papers by Stefania Tomasiello
This network shows the impact of papers produced by Stefania Tomasiello. 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 Stefania Tomasiello. The network helps show where Stefania Tomasiello may publish in the future.
Co-authorship network of co-authors of Stefania Tomasiello
This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Tomasiello. A scholar is included among the top collaborators of Stefania Tomasiello 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 Stefania Tomasiello. Stefania Tomasiello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 27 | |
| 13 | 4 | |
| 14 | Quasi–consensus in second–order multi–agent systems with sampled data through fuzzy transform | 10 |
| 15 | 22 | |
| 16 | 5 | |
| 17 | 10 | |
| 18 | 17 | |
| 19 | 1 | |
| 20 | 5 |
About Stefania Tomasiello
Stefania Tomasiello is a scholar working on Numerical Analysis, Modeling and Simulation and Artificial Intelligence, having authored 87 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Composite Structure Analysis and Optimization (14 papers) and Fractional Differential Equations Solutions (12 papers). The work is most often cited by research in Modeling and Simulation (214 citations), Numerical Analysis (180 citations) and Statistics and Probability (88 citations). Stefania Tomasiello has collaborated with scholars based in Italy, Estonia and Mexico. Frequent co-authors include Vincenzo Loia, Matteo Gaeta, Alfredo Vaccaro, Luigi Rarità, Jorge E. Macías‐Díaz, Angelo Gaeta, Witold Pedrycz, Giuseppe D’Aniello, Zahra Alijani and Petr Hurtík. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.
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.