Carmen Del Vecchio

1.5k total citations
67 papers, 1.1k citations indexed

About

Carmen Del Vecchio is a scholar working on Control and Systems Engineering, Molecular Biology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Carmen Del Vecchio has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 21 papers in Molecular Biology and 19 papers in Industrial and Manufacturing Engineering. Recurrent topics in Carmen Del Vecchio's work include Gene Regulatory Network Analysis (19 papers), Advanced Control Systems Optimization (15 papers) and Fault Detection and Control Systems (8 papers). Carmen Del Vecchio is often cited by papers focused on Gene Regulatory Network Analysis (19 papers), Advanced Control Systems Optimization (15 papers) and Fault Detection and Control Systems (8 papers). Carmen Del Vecchio collaborates with scholars based in Italy, United States and China. Carmen Del Vecchio's co-authors include Luigi Glielmo, Amol Yerudkar, Alessandra Parisio, Alfredo Vaccaro, Seshadhri Srinivasan, Maurizio Sasso, Michele Canelli, Yuhu Wu, Yuqian Guo and Giovanni Velotto and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Access.

In The Last Decade

Carmen Del Vecchio

62 papers receiving 1.0k citations

Peers

Carmen Del Vecchio
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
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Jan Jantzen Denmark
Hongjie Wu China
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Peng Dong China
Danyong Li China
Iftikhar Ahmad Pakistan
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J.M. Herrero Spain View profile →
Citations per field, relative to Carmen Del Vecchio
Carmen Del Vecchio · 1×
Citations per year, relative to Carmen Del Vecchio
Carmen Del Vecchio · 1×

Countries citing papers authored by Carmen Del Vecchio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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