Alessandra Esposito
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Atomic and Molecular Physics, and Optics
- Computer Networks and Communications
- Aerospace Engineering
- Co-authors
- Luciano TarriconeLuca CatarinucciDanilo De DonnoMarco ZappatoreRiccardo ColellaGiuseppina MontiM. MeucciVincenzo Eramo
- Topics
- Electromagnetic Simulation and Numerical Methods (9 papers)Electromagnetic Scattering and Analysis (8 papers)Semantic Web and Ontologies (6 papers)
- Partner nations
- ItalyJordanUnited Kingdom
In The Last Decade
Alessandra Esposito
37 papers receiving 352 citations
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 159
- Computer Vision and Pattern Recognition 105
- Atomic and Molecular Physics, and Optics 100
- Computer Networks and Communications 54
- Aerospace Engineering 53
Countries citing papers authored by Alessandra Esposito
This map shows the geographic impact of Alessandra Esposito'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 Alessandra Esposito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandra Esposito more than expected).
Fields of papers citing papers by Alessandra Esposito
This network shows the impact of papers produced by Alessandra Esposito. 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 Alessandra Esposito. The network helps show where Alessandra Esposito may publish in the future.
Co-authorship network of co-authors of Alessandra Esposito
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Esposito. A scholar is included among the top collaborators of Alessandra Esposito 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 Alessandra Esposito. Alessandra Esposito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | GPU-based acceleration of MPIE/MoM matrix calculation for the analysis of microstrip circuits | 8 |
| 9 | 29 | |
| 10 | 2 | |
| 11 | 83 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | Grid computing for electromagnetics | 19 |
| 16 | 6 | |
| 17 | 0 | |
| 18 | 17 | |
| 19 | An interpretation system for land register maps | 2 |
| 20 | 0 |
About Alessandra Esposito
Alessandra Esposito is a scholar working on Space and Planetary Science, Conservation and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 378 indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (9 papers), Electromagnetic Scattering and Analysis (8 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (105 citations), Media Technology (44 citations) and Space and Planetary Science (5 citations). Alessandra Esposito has collaborated with scholars based in Italy, Jordan and United Kingdom. Frequent co-authors include Luciano Tarricone, Luca Catarinucci, Danilo De Donno, Marco Zappatore, Riccardo Colella, Giuseppina Monti, M. Meucci, Vincenzo Eramo, Silvano Di Zenzo and Federico Malucelli. Their work appears in journals such as IEEE Transactions on Microwave Theory and Techniques, Computer and Journal of Medical Systems.
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.