Giorgio Gnecco
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering top 10%
- Global and Planetary Change top 10%
- Co-authors
- Marcello SanguinetiAndrea BacigalupoLuigi GambarottaMarco LepidiMohammed M. AbdelsameaGiorgio RothAngela Celeste TaramassoMohamed Medhat Gaber
- Topics
- Acoustic Wave Phenomena Research (13 papers)Neural Networks and Applications (9 papers)Control Systems and Identification (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Information Theory
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Giorgio Gnecco
109 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 141
- Biomedical Engineering 279
- Artificial Intelligence 229
- Computer Vision and Pattern Recognition 196
- Mechanical Engineering 184
- Global and Planetary Change 140
Countries citing papers authored by Giorgio Gnecco
This map shows the geographic impact of Giorgio Gnecco'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 Giorgio Gnecco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Gnecco more than expected).
Fields of papers citing papers by Giorgio Gnecco
This network shows the impact of papers produced by Giorgio Gnecco. 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 Giorgio Gnecco. The network helps show where Giorgio Gnecco may publish in the future.
Co-authorship network of co-authors of Giorgio Gnecco
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Gnecco. A scholar is included among the top collaborators of Giorgio Gnecco 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 Giorgio Gnecco. Giorgio Gnecco 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 | 0 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 91 | |
| 12 | 11 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | Learning with hard constraints as a limit case of learning with soft constraints | 0 |
| 17 | 2 | |
| 18 | On call admission control with nonlinearly constrained feasibility regions | 1 |
| 19 | 14 | |
| 20 | Weight-decay regularization in reproducing Kernel Hilbert spaces by variable-basis schemes | 1 |
About Giorgio Gnecco
Giorgio Gnecco is a scholar working on Numerical Analysis, Computer Networks and Communications and Statistics and Probability, having authored 117 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (13 papers), Neural Networks and Applications (9 papers) and Control Systems and Identification (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (196 citations), Water Science and Technology (108 citations) and Artificial Intelligence (229 citations). Giorgio Gnecco has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Marcello Sanguineti, Andrea Bacigalupo, Luigi Gambarotta, Marco Lepidi, Mohammed M. Abdelsamea, Giorgio Roth, Angela Celeste Taramasso, Mohamed Medhat Gaber, Mauro Gaggero and Alberto Bemporad. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Information Theory.
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.