Luca Benvenuti

3.0k total citations
77 papers, 1.8k citations indexed

About

Luca Benvenuti is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Ecology. According to data from OpenAlex, Luca Benvenuti has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Control and Systems Engineering, 25 papers in Computational Theory and Mathematics and 8 papers in Ecology. Recurrent topics in Luca Benvenuti's work include Advanced Control Systems Optimization (19 papers), Stability and Control of Uncertain Systems (15 papers) and Matrix Theory and Algorithms (14 papers). Luca Benvenuti is often cited by papers focused on Advanced Control Systems Optimization (19 papers), Stability and Control of Uncertain Systems (15 papers) and Matrix Theory and Algorithms (14 papers). Luca Benvenuti collaborates with scholars based in Italy, United States and Australia. Luca Benvenuti's co-authors include Lorenzo Farina, Maria Domenica Di Benedetto, Alberto Sangiovanni‐Vincentelli, A. Balluchi, Alberto De Santis, Brian D. O. Anderson, Manfred Deistler, Claudio Pinello, Jessy W. Grizzle and Jan Lunze and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Journal of Cleaner Production.

In The Last Decade

Luca Benvenuti

75 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luca Benvenuti Italy 22 1.2k 442 164 148 120 77 1.8k
Peter Wieland Germany 11 705 0.6× 139 0.3× 1.1k 6.7× 10 0.1× 90 0.8× 18 1.7k
N.K. Bose United States 23 484 0.4× 393 0.9× 62 0.4× 4 0.0× 155 1.3× 89 1.5k
Manuel A. Duarte‐Mermoud Chile 24 2.2k 1.8× 121 0.3× 814 5.0× 8 0.1× 426 3.5× 133 3.5k
M.G. Singh United Kingdom 18 821 0.7× 196 0.4× 131 0.8× 6 0.0× 117 1.0× 79 1.7k
J.B.R. do Val Brazil 21 1.4k 1.2× 269 0.6× 334 2.0× 17 0.1× 83 0.7× 113 1.7k
Girish N. Nair Australia 23 2.5k 2.1× 239 0.5× 1.5k 8.9× 23 0.2× 336 2.8× 80 3.5k
Per Hagander Sweden 17 1.3k 1.1× 152 0.3× 90 0.5× 7 0.0× 90 0.8× 71 1.9k
Dongyu Li China 28 1.3k 1.1× 256 0.6× 1.0k 6.3× 4 0.0× 173 1.4× 139 2.3k
Demin Xu China 20 797 0.7× 88 0.2× 369 2.3× 18 0.1× 237 2.0× 114 1.5k
Raktim Bhattacharya United States 17 443 0.4× 76 0.2× 90 0.5× 8 0.1× 21 0.2× 82 1.0k

Countries citing papers authored by Luca Benvenuti

Since Specialization
Citations

This map shows the geographic impact of Luca Benvenuti'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 Luca Benvenuti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Benvenuti more than expected).

Fields of papers citing papers by Luca Benvenuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Benvenuti. 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 Luca Benvenuti. The network helps show where Luca Benvenuti may publish in the future.

Co-authorship network of co-authors of Luca Benvenuti

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Benvenuti. A scholar is included among the top collaborators of Luca Benvenuti 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 Luca Benvenuti. Luca Benvenuti 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
1.
Benvenuti, Luca, Stefania Sette, Alberto De Santis, et al.. (2024). Simulation of Daily Iron Intake by Actual Diet Considering Future Trends in Wheat and Rice Biofortification, Environmental, and Dietary Factors: An Italian Case Study. Nutrients. 16(23). 4097–4097. 2 indexed citations
2.
Benvenuti, Luca & Lorenzo Farina. (2023). Positive Dynamical Systems: New Applications, Old Problems. International Journal of Control Automation and Systems. 21(3). 837–844. 2 indexed citations
3.
Finamore, Alberto, et al.. (2022). Sportsmen’s Attitude towards Dietary Supplements and Nutrition Knowledge: An Investigation in Selected Roman Area Gyms. Nutrients. 14(5). 945–945. 20 indexed citations
4.
Benvenuti, Luca. (2022). Minimal positive realizations: A survey. Automatica. 143. 110422–110422. 6 indexed citations
5.
Benvenuti, Luca. (2020). The NIEP and the positive realization problem. Electronic Journal of Linear Algebra. 36(36). 367–384. 2 indexed citations
6.
Ferrari, Marika, Luca Benvenuti, Laura Rossi, et al.. (2020). Could Dietary Goals and Climate Change Mitigation Be Achieved Through Optimized Diet? The Experience of Modeling the National Food Consumption Data in Italy. Frontiers in Nutrition. 7. 48–48. 46 indexed citations
7.
Benvenuti, Luca. (2020). An upper bound on the dimension of minimal positive realizations for discrete time systems. Systems & Control Letters. 145. 104779–104779. 4 indexed citations
8.
Benvenuti, Luca, et al.. (2019). Concurrent economic and environmental impacts of food consumption: are low emissions diets affordable?. Journal of Cleaner Production. 236. 117645–117645. 17 indexed citations
9.
Benvenuti, Luca. (2019). A lower bound on the dimension of minimal positive realizations for discrete time systems. Systems & Control Letters. 135. 104595–104595. 5 indexed citations
10.
Benvenuti, Luca. (2018). The NIEP for four dimensional Leslie and doubly stochastic matrices with zero trace from the coefficients of the characteristic polynomial. Linear Algebra and its Applications. 544. 286–298. 4 indexed citations
11.
Benvenuti, Luca. (2011). On the reachable set for third-order linear discrete-time systems with positive control: The case of complex eigenvalues. Systems & Control Letters. 60(12). 1000–1008. 3 indexed citations
12.
Lunze, Jan, Jan Lunze, W.P.M.H. Heemels, et al.. (2009). Handbook of Hybrid Systems Control. Cambridge University Press eBooks. 173 indexed citations
13.
Balluchi, A., et al.. (2005). ACTUAL ENGAGED GEAR IDENTIFICATION: A HYBRID OBSERVER APPROACH. IFAC Proceedings Volumes. 38(1). 13–18. 11 indexed citations
14.
15.
Benvenuti, Luca & Lorenzo Farina. (2003). Minimal positive realizations: A survey of recent results and open problems. Kybernetika. 39(2). 217–228. 2 indexed citations
16.
Balluchi, A., Luca Benvenuti, Maria Domenica Di Benedetto, et al.. (2002). Hybrid systems and the design of embedded controllers for automotive engine management. 3. 2656–2661. 4 indexed citations
17.
Balluchi, A., Luca Benvenuti, Maria Domenica Di Benedetto, Claudio Pinello, & Alberto Sangiovanni‐Vincentelli. (2000). Automotive engine control and hybrid systems: challenges and opportunities. Proceedings of the IEEE. 88(7). 888–912. 145 indexed citations
18.
Bruyne, F. De, Brian D. O. Anderson, Lorenzo Farina, & Luca Benvenuti. (2000). Minimal positive realizations of transfer functions with positive real poles. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 47(9). 1370–1377. 37 indexed citations
19.
Anderson, Brian D. O., Manfred Deistler, Lorenzo Farina, & Luca Benvenuti. (1996). Nonnegative realization of a linear system with nonnegative impulse response. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 43(2). 134–142. 130 indexed citations
20.
Farina, Lorenzo & Luca Benvenuti. (1995). Positive realizations of linear systems. Systems & Control Letters. 26(1). 1–9. 33 indexed citations

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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