Raffaele Soloperto

724 total citations
22 papers, 487 citations indexed

About

Raffaele Soloperto is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Raffaele Soloperto has authored 22 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Raffaele Soloperto's work include Advanced Control Systems Optimization (12 papers), Fault Detection and Control Systems (7 papers) and Control Systems and Identification (5 papers). Raffaele Soloperto is often cited by papers focused on Advanced Control Systems Optimization (12 papers), Fault Detection and Control Systems (7 papers) and Control Systems and Identification (5 papers). Raffaele Soloperto collaborates with scholars based in Germany, Italy and Switzerland. Raffaele Soloperto's co-authors include Matthias A. Müller, Frank Allgöwer, Johannes Köhler, Michele Tucci, Giancarlo Ferrari‐Trecate, Sebastian Trimpe, Andrea Martinelli, Matteo Saveriano, Dongheui Lee and Gianni Pasolini and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and International Journal of Robust and Nonlinear Control.

In The Last Decade

Raffaele Soloperto

21 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raffaele Soloperto Germany 10 414 106 46 33 31 22 487
Benjamin Karg Germany 8 371 0.9× 123 1.2× 21 0.5× 61 1.8× 33 1.1× 12 496
Stefan Richter Switzerland 5 277 0.7× 117 1.1× 20 0.4× 23 0.7× 30 1.0× 5 372
Bharat Bhushan India 9 186 0.4× 70 0.7× 52 1.1× 65 2.0× 13 0.4× 61 325
Faouzi Bouani Tunisia 11 370 0.9× 41 0.4× 23 0.5× 42 1.3× 24 0.8× 78 437
Kwang-Ki K. Kim South Korea 12 167 0.4× 137 1.3× 21 0.5× 36 1.1× 101 3.3× 24 373
Xiang Wu China 13 220 0.5× 78 0.7× 16 0.3× 26 0.8× 16 0.5× 42 384
Muhammad Zakiyullah Romdlony Indonesia 7 296 0.7× 30 0.3× 50 1.1× 25 0.8× 31 1.0× 31 370
Mohamed W. Mehrez Canada 12 286 0.7× 28 0.3× 109 2.4× 32 1.0× 46 1.5× 25 359

Countries citing papers authored by Raffaele Soloperto

Since Specialization
Citations

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

Fields of papers citing papers by Raffaele Soloperto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaele Soloperto

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Soloperto. A scholar is included among the top collaborators of Raffaele Soloperto 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 Raffaele Soloperto. Raffaele Soloperto 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.
Soloperto, Raffaele, et al.. (2024). Control Strategies for Recommendation Systems in Social Networks. IEEE Control Systems Letters. 8. 634–639. 3 indexed citations
2.
3.
Soloperto, Raffaele, Ali Mesbah, & Frank Allgöwer. (2023). Safe Exploration and Escape Local Minima With Model Predictive Control Under Partially Unknown Constraints. IEEE Transactions on Automatic Control. 68(12). 7530–7545. 6 indexed citations
4.
Soloperto, Raffaele, Johannes Köhler, & Frank Allgöwer. (2022). A Nonlinear MPC Scheme for Output Tracking Without Terminal Ingredients. IEEE Transactions on Automatic Control. 68(4). 2368–2375. 14 indexed citations
5.
Soloperto, Raffaele, Matthias A. Müller, & Frank Allgöwer. (2022). Guaranteed Closed-Loop Learning in Model Predictive Control. IEEE Transactions on Automatic Control. 68(2). 991–1006. 9 indexed citations
6.
Soloperto, Raffaele, et al.. (2021). A control framework for autonomous e-scooters. IFAC-PapersOnLine. 54(2). 252–258. 2 indexed citations
7.
Soloperto, Raffaele, Johannes Köhler, & Frank Allgöwer. (2020). Augmenting MPC Schemes With Active Learning: Intuitive Tuning and Guaranteed Performance. IEEE Control Systems Letters. 4(3). 713–718. 14 indexed citations
8.
Köhler, Johannes, Raffaele Soloperto, Matthias A. Müller, & Frank Allgöwer. (2020). A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems. IEEE Transactions on Automatic Control. 66(2). 794–801. 11 indexed citations
9.
Köhler, Johannes, et al.. (2020). A robust adaptive model predictive control framework for nonlinear uncertain systems. International Journal of Robust and Nonlinear Control. 31(18). 8725–8749. 59 indexed citations
10.
Köhler, Johannes, Raffaele Soloperto, Matthias A. Müller, & Frank Allgöwer. (2019). A computationally efficient robust model predictive control framework for uncertain nonlinear systems -- extended version. arXiv (Cornell University). 148 indexed citations
11.
12.
Köhler, Johannes, et al.. (2019). Linear robust adaptive model predictive control: Computational complexity and conservatism. arXiv (Cornell University). 2019. 1383–1388. 8 indexed citations
13.
Soloperto, Raffaele, et al.. (2019). A passivity-based approach to voltage stabilization in DC microgrids with ZIP loads. Automatica. 113. 108770–108770. 60 indexed citations
14.
Soloperto, Raffaele, Johannes Köhler, Matthias A. Müller, & Frank Allgöwer. (2019). Dual Adaptive MPC for output tracking of linear systems. 1377–1382. 8 indexed citations
15.
Soloperto, Raffaele, et al.. (2018). A Passivity-Based Approach to Voltage Stabilization in DC Microgrids. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 10 indexed citations
16.
Soloperto, Raffaele, Matthias A. Müller, Sebastian Trimpe, & Frank Allgöwer. (2018). Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty. IFAC-PapersOnLine. 51(20). 442–447. 57 indexed citations
17.
Lee, Dongheui, Raffaele Soloperto, & Matteo Saveriano. (2017). Bidirectional invariant representation of rigid body motions and its application to gesture recognition and reproduction. Autonomous Robots. 42(1). 125–145. 8 indexed citations
18.
Soloperto, Raffaele, Matteo Saveriano, & Dongheui Lee. (2015). A bidirectional invariant representation of motion for gesture recognition and reproduction. Institutional Research Information System (Università degli Studi di Trento). 6146–6152. 12 indexed citations
19.
Soloperto, Raffaele, et al.. (2013). Quasi-Cyclic Doubly Generalized LDPC Codes. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5. 1 indexed citations
20.
Soloperto, Raffaele, et al.. (2006). A 3D virtual immersive laboratory for distributed telemeasurement. Institutional Research Information System University of Ferrara (University of Ferrara). 5–5. 1 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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