A. Lecchini

1.7k total citations · 1 hit paper
24 papers, 1.3k citations indexed

About

A. Lecchini is a scholar working on Control and Systems Engineering, Aerospace Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, A. Lecchini has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 4 papers in Aerospace Engineering and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in A. Lecchini's work include Control Systems and Identification (18 papers), Fault Detection and Control Systems (13 papers) and Advanced Control Systems Optimization (11 papers). A. Lecchini is often cited by papers focused on Control Systems and Identification (18 papers), Fault Detection and Control Systems (13 papers) and Advanced Control Systems Optimization (11 papers). A. Lecchini collaborates with scholars based in Belgium, United Kingdom and Italy. A. Lecchini's co-authors include Sergio M. Savaresi, Marco C. Campi, M. Gevers, Roland Hildebrand, Brian D. O. Anderson, Alexander Lanzon, John Lygeros, Ioannis Lymperopoulos, Arvin Dehghani and Giuseppe De Nicolao and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Systems & Control Letters.

In The Last Decade

A. Lecchini

24 papers receiving 1.3k citations

Hit Papers

Virtual reference feedback tuning: a direct method for th... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Lecchini Belgium 11 1.2k 142 55 51 45 24 1.3k
Hossam S. Abbas Germany 16 761 0.6× 121 0.9× 65 1.2× 61 1.2× 34 0.8× 91 877
Xin Hua Yang China 4 739 0.6× 78 0.5× 89 1.6× 159 3.1× 19 0.4× 6 849
Carlos E.T. Dórea Brazil 13 626 0.5× 52 0.4× 48 0.9× 92 1.8× 87 1.9× 76 762
Bruce H. Wilson United States 11 246 0.2× 228 1.6× 21 0.4× 60 1.2× 32 0.7× 37 457
Francesco Alessandro Cuzzola Italy 14 754 0.6× 117 0.8× 24 0.4× 30 0.6× 27 0.6× 32 870
Mohammad Reza Soltanpour Iran 20 744 0.6× 190 1.3× 50 0.9× 79 1.5× 78 1.7× 43 919
Tito L.M. Santos Brazil 16 559 0.5× 67 0.5× 31 0.6× 36 0.7× 27 0.6× 79 694
Guichao Yang China 19 730 0.6× 422 3.0× 55 1.0× 42 0.8× 51 1.1× 38 892
Alexandre Janot France 14 603 0.5× 258 1.8× 37 0.7× 9 0.2× 141 3.1× 55 733
Link Jaw United States 11 330 0.3× 54 0.4× 132 2.4× 52 1.0× 57 1.3× 32 509

Countries citing papers authored by A. Lecchini

Since Specialization
Citations

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

Fields of papers citing papers by A. Lecchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Lecchini

This figure shows the co-authorship network connecting the top 25 collaborators of A. Lecchini. A scholar is included among the top collaborators of A. Lecchini 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 A. Lecchini. A. Lecchini 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.
Lecchini, A., M. Gevers, & J.M. Maciejowski. (2006). AN ITERATIVE FEEDBACK TUNING PROCEDURE FOR LOOP TRANSFER RECOVERY. IFAC Proceedings Volumes. 39(1). 1097–1102. 1 indexed citations
2.
Lanzon, Alexander, A. Lecchini, Arvin Dehghani, & Brian D. O. Anderson. (2006). Checking if controllers are stabilizing using closed-loop data. 3660–3665. 29 indexed citations
3.
Lecchini, A., William Glover, John Lygeros, & J.M. Maciejowski. (2006). Predictive Control of Complex Stochastic Systems using Markov Chain Monte Carlo with Application to Air Traffic Control. 175–178. 3 indexed citations
4.
Lymperopoulos, Ioannis, John Lygeros, & A. Lecchini. (2006). Model Based Aircraft Trajectory Prediction During Takeoff. AIAA Guidance, Navigation, and Control Conference and Exhibit. 37 indexed citations
5.
Lecchini, A., William Glover, John Lygeros, & J.M. Maciejowski. (2005). Monte Carlo Optimization Strategies for Air-Traffic Control. AIAA Guidance, Navigation, and Control Conference and Exhibit. 3 indexed citations
6.
Lecchini, A., William Glover, John Lygeros, & J.M. Maciejowski. (2005). AIR TRAFFIC CONTROL WITH AN EXPECTED VALUE CRITERION. IFAC Proceedings Volumes. 38(1). 13–18. 3 indexed citations
7.
Hildebrand, Roland, et al.. (2005). Asymptotic accuracy of iterative feedback tuning. IEEE Transactions on Automatic Control. 50(8). 1182–1185. 30 indexed citations
8.
Hildebrand, Roland, et al.. (2005). Optimal prefiltering in iterative feedback tuning. IEEE Transactions on Automatic Control. 50(8). 1196–1200. 18 indexed citations
9.
Lecchini, A., Alexander Lanzon, & Brian D. O. Anderson. (2004). Safe controller changes with additional guaranteed model reference performance improvement for the unknown plant. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). 2692–2693 Vol.3. 2 indexed citations
10.
Lecchini, A., Alexander Lanzon, & Brian D. O. Anderson. (2004). Safe adaptive controller changes based on reference model adjustments. ANU Open Research (Australian National University). 4297–4302. 5 indexed citations
11.
Hildebrand, Roland, et al.. (2004). Prefiltering in Iterative Feedback Tuning: Optimization of the Prefilter for Accuracy. IEEE Transactions on Automatic Control. 49(10). 1801–1805. 17 indexed citations
12.
Lecchini, A. & M. Gevers. (2003). Explicit expression of the parameter bias in identification of Laguerre models from step responses. Systems & Control Letters. 52(2). 149–165. 5 indexed citations
13.
Campi, Marco C., A. Lecchini, & Sergio M. Savaresi. (2003). An Application of the Virtual Reference Feedback Tuning Method to a Benchmark Problem. European Journal of Control. 9(1). 66–76. 76 indexed citations
14.
Hildebrand, Roland, et al.. (2003). Optimal prefiltering in iterative feedback tuning 1. IFAC Proceedings Volumes. 36(16). 489–494. 3 indexed citations
15.
Lecchini, A., et al.. (2002). Virtual reference feedback tuning for two degree of freedom controllers. International Journal of Adaptive Control and Signal Processing. 16(5). 355–371. 119 indexed citations
16.
Campi, Marco C., A. Lecchini, & Sergio M. Savaresi. (2002). Virtual reference feedback tuning (VRFT): a new direct approach to the design of feedback controllers. 1. 623–629. 57 indexed citations
17.
Lecchini, A., Marco C. Campi, & Sergio M. Savaresi. (2001). Virtual reference feedback tuning for two degree of freedom controllers. 2416–2421. 9 indexed citations
18.
Lecchini, A., Marco C. Campi, & Sergio M. Savaresi. (2001). Virtual Reference Feedback Tuning: A New Framework for Data-Based Design of PID and Linear Controllers. IFAC Proceedings Volumes. 34(14). 83–88. 2 indexed citations
20.
Nicolao, Giuseppe De, Giancarlo Ferrari‐Trecate, & A. Lecchini. (1998). MAXENT priors for stochastic filtering problems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 755–758. 8 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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