Gianna M. Del Corso
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Information Systems top 5%
- Statistical and Nonlinear Physics top 10%
- Signal Processing top 10%
- Co-authors
- Francesco RomaniAntonio GullìGiovanni ManziniDario A. BiniRaf VandebrilEnrico BozzoLuca GemignaniLuciano Margara
- Topics
- Matrix Theory and Algorithms (18 papers)Complex Network Analysis Techniques (7 papers)Quantum Computing Algorithms and Architecture (7 papers)
- Cited by
- Computational Theory and MathematicsComputational MathematicsStatistical and Nonlinear Physics
- Partner nations
- ItalyBelgiumUnited States
In The Last Decade
Gianna M. Del Corso
40 papers receiving 368 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 175
- Computational Theory and Mathematics 142
- Information Systems 108
- Statistical and Nonlinear Physics 91
- Signal Processing 54
Countries citing papers authored by Gianna M. Del Corso
This map shows the geographic impact of Gianna M. Del Corso'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 Gianna M. Del Corso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianna M. Del Corso more than expected).
Fields of papers citing papers by Gianna M. Del Corso
This network shows the impact of papers produced by Gianna M. Del Corso. 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 Gianna M. Del Corso. The network helps show where Gianna M. Del Corso may publish in the future.
Co-authorship network of co-authors of Gianna M. Del Corso
This figure shows the co-authorship network connecting the top 25 collaborators of Gianna M. Del Corso. A scholar is included among the top collaborators of Gianna M. Del Corso 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 Gianna M. Del Corso. Gianna M. Del Corso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | Krylov subspace methods for solving linear systems | 4 |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | EVALUATING SCIENTIFIC PRODUCTS BY MEANS OF CITATION-BASED MODELS: A FIRST ANALYSIS AND VALIDATION ∗ | 8 |
| 13 | 22 | |
| 14 | 2 | |
| 15 | Fast PageRank computation via a sparse linear system | 4 |
| 16 | Existence, uniqueness and algorithms for matrix unitary reduction to semiseparable form | 5 |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 3 |
About Gianna M. Del Corso
Gianna M. Del Corso is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Algebra and Number Theory, having authored 42 papers that have together received 411 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (18 papers), Complex Network Analysis Techniques (7 papers) and Quantum Computing Algorithms and Architecture (7 papers). The work is most often cited by research in Computational Theory and Mathematics (142 citations), Computational Mathematics (5 citations) and Statistical and Nonlinear Physics (91 citations). Gianna M. Del Corso has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Francesco Romani, Antonio Gullì, Giovanni Manzini, Dario A. Bini, Raf Vandebril, Enrico Bozzo, Luca Gemignani, Luciano Margara, Anna Bernasconi and Riccardo Guidotti. Their work appears in journals such as IEEE Access, Mathematics of Computation 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.