Carmen Del Vecchio
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Energy Engineering and Power Technology top 5%
- Co-authors
- Luigi GlielmoAmol YerudkarAlessandra ParisioAlfredo VaccaroSeshadhri SrinivasanMaurizio SassoMichele CanelliYuhu Wu
- Topics
- Gene Regulatory Network Analysis (19 papers)Advanced Control Systems Optimization (15 papers)Fault Detection and Control Systems (8 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringComputational Theory and Mathematics
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Carmen Del Vecchio
62 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Electrical and Electronic Engineering 428
- Control and Systems Engineering 354
- Molecular Biology 304
- Computational Theory and Mathematics 123
- Energy Engineering and Power Technology 105
Countries citing papers authored by Carmen Del Vecchio
This map shows the geographic impact of Carmen Del Vecchio'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 Carmen Del Vecchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Del Vecchio more than expected).
Fields of papers citing papers by Carmen Del Vecchio
This network shows the impact of papers produced by Carmen Del Vecchio. 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 Carmen Del Vecchio. The network helps show where Carmen Del Vecchio may publish in the future.
Co-authorship network of co-authors of Carmen Del Vecchio
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Del Vecchio. A scholar is included among the top collaborators of Carmen Del Vecchio 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 Carmen Del Vecchio. Carmen Del Vecchio 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 | 2 | |
| 4 | 1 | |
| 5 | 38 | |
| 6 | 24 | |
| 7 | 21 | |
| 8 | 13 | |
| 9 | 46 | |
| 10 | 5 | |
| 11 | 20 | |
| 12 | 22 | |
| 13 | 53 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 3 | |
| 17 | 234 | |
| 18 | 2 | |
| 19 | 12 | |
| 20 | Recombinant interferon-alpha and ursodeoxycholic acid versus interferon-alpha alone in the treatment of chronic hepatitis C: a randomized clinical trial with long-term follow-up. | 37 |
About Carmen Del Vecchio
Carmen Del Vecchio is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (19 papers), Advanced Control Systems Optimization (15 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Energy Engineering and Power Technology (105 citations), Control and Systems Engineering (354 citations) and Computational Theory and Mathematics (123 citations). Carmen Del Vecchio has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Luigi Glielmo, Amol Yerudkar, Alessandra Parisio, Alfredo Vaccaro, Seshadhri Srinivasan, Maurizio Sasso, Michele Canelli, Yuhu Wu, Yuqian Guo and Giovanni Velotto. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Access.
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.