Eugenio Cinquemani
- Molecular Biology
- Control and Systems Engineering top 5%
- Genetics
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Co-authors
- John LygerosDebasish ChatterjeeMayank AgarwalGiancarlo Ferrari‐TrecateHidde de JongPeter HokayemFederico RamponiJean‐Luc Gouzé
- Topics
- Gene Regulatory Network Analysis (33 papers)Microbial Metabolic Engineering and Bioproduction (22 papers)Bioinformatics and Genomic Networks (12 papers)
- Partner nations
- FranceSwitzerlandItaly
In The Last Decade
Eugenio Cinquemani
50 papers receiving 589 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 287
- Control and Systems Engineering 260
- Genetics 65
- Management Science and Operations Research 43
- Artificial Intelligence 39
Countries citing papers authored by Eugenio Cinquemani
This map shows the geographic impact of Eugenio Cinquemani'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 Eugenio Cinquemani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugenio Cinquemani more than expected).
Fields of papers citing papers by Eugenio Cinquemani
This network shows the impact of papers produced by Eugenio Cinquemani. 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 Eugenio Cinquemani. The network helps show where Eugenio Cinquemani may publish in the future.
Co-authorship network of co-authors of Eugenio Cinquemani
This figure shows the co-authorship network connecting the top 25 collaborators of Eugenio Cinquemani. A scholar is included among the top collaborators of Eugenio Cinquemani 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 Eugenio Cinquemani. Eugenio Cinquemani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 6 | |
| 8 | 40 | |
| 9 | 19 | |
| 10 | 8 | |
| 11 | 55 | |
| 12 | 14 | |
| 13 | 26 | |
| 14 | Stochastic MPC with output feedback and bounded control inputs | 2 |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 18 | |
| 19 | 14 | |
| 20 | 6 |
About Eugenio Cinquemani
Eugenio Cinquemani is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Molecular Biology, having authored 51 papers that have together received 610 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (33 papers), Microbial Metabolic Engineering and Bioproduction (22 papers) and Bioinformatics and Genomic Networks (12 papers). The work is most often cited by research in Control and Systems Engineering (260 citations), Biophysics (26 citations) and Molecular Biology (287 citations). Eugenio Cinquemani has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include John Lygeros, Debasish Chatterjee, Mayank Agarwal, Giancarlo Ferrari‐Trecate, Hidde de Jong, Peter Hokayem, Federico Ramponi, Jean‐Luc Gouzé, Delphine Ropers and Johannes Geiselmann. Their work appears in journals such as Nature Communications, Bioinformatics and IEEE Transactions on Automatic Control.
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.