Massimo Tipaldi

768 total citations
61 papers, 527 citations indexed

About

Massimo Tipaldi is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Massimo Tipaldi has authored 61 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 19 papers in Artificial Intelligence and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Massimo Tipaldi's work include Reinforcement Learning in Robotics (10 papers), Smart Grid Energy Management (10 papers) and Distributed systems and fault tolerance (9 papers). Massimo Tipaldi is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Smart Grid Energy Management (10 papers) and Distributed systems and fault tolerance (9 papers). Massimo Tipaldi collaborates with scholars based in Italy, Ireland and Iran. Massimo Tipaldi's co-authors include Luigi Glielmo, Raffaele Iervolino, Gianni D’Angelo, Pierluigi Siano, Davide Liuzza, Subhrakanti Dey, Hassan Haes Alhelou, Salvatore Rampone, Francesco Palmieri and Manoharan Madhiarasan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and Information Sciences.

In The Last Decade

Massimo Tipaldi

56 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Tipaldi Italy 13 155 137 130 118 113 61 527
Ashutosh Mahajan India 7 156 1.0× 153 1.1× 44 0.3× 34 0.3× 95 0.8× 16 563
Matthias C. M. Troffaes United Kingdom 16 173 1.1× 174 1.3× 257 2.0× 33 0.3× 21 0.2× 53 734
Cosmin Păduraru Canada 6 110 0.7× 60 0.4× 147 1.1× 24 0.2× 48 0.4× 10 371
Ayman M. Bahaa-Eldin Egypt 14 102 0.7× 195 1.4× 265 2.0× 16 0.1× 312 2.8× 80 735
Ibrahim Ziedan Egypt 11 131 0.8× 65 0.5× 289 2.2× 31 0.3× 38 0.3× 32 507
Jason J. Sauppe United States 9 61 0.4× 82 0.6× 99 0.8× 43 0.4× 89 0.8× 19 475
Alessandro Giuseppi Italy 16 151 1.0× 254 1.9× 112 0.9× 84 0.7× 213 1.9× 69 683
Jaemyung Ahn South Korea 17 103 0.7× 40 0.3× 77 0.6× 610 5.2× 213 1.9× 111 940
M. Senthil Arumugam Malaysia 12 180 1.2× 138 1.0× 291 2.2× 20 0.2× 35 0.3× 27 659

Countries citing papers authored by Massimo Tipaldi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Tipaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Tipaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Tipaldi. A scholar is included among the top collaborators of Massimo Tipaldi 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 Massimo Tipaldi. Massimo Tipaldi 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.
Joshi, Amit M., Massimo Tipaldi, & Luigi Glielmo. (2025). Multi-agent reinforcement learning for decentralized control of shared battery energy storage system in residential community. Sustainable Energy Grids and Networks. 41. 101627–101627. 3 indexed citations
2.
Tipaldi, Massimo, et al.. (2025). A belief-based multi-agent reinforcement learning approach for electric vehicle coordination in a residential community. Sustainable Energy Grids and Networks. 43. 101790–101790. 2 indexed citations
3.
4.
Tipaldi, Massimo, et al.. (2025). A Continuous Sliding Mode Current Control Based on the Sensitivity Theory for PMSM Drives. SHILAP Revista de lepidopterología. 6. 48–58. 2 indexed citations
5.
Iervolino, Raffaele, et al.. (2024). A kernel-based approximate dynamic programming approach: Theory and application. Automatica. 162. 111517–111517. 3 indexed citations
6.
Tipaldi, Massimo, et al.. (2024). A switching control strategy for policy selection in stochastic Dynamic Programming problems. Automatica. 171. 111884–111884. 2 indexed citations
7.
Iervolino, Raffaele, et al.. (2024). Off-Policy Temporal Difference Learning for Perturbed Markov Decision Processes. IEEE Control Systems Letters. 8. 3488–3493. 2 indexed citations
8.
Tipaldi, Massimo, et al.. (2024). Deep Reinforcement Learning for Cell Balancing in Electric Vehicles With Dynamic Reconfigurable Batteries. IEEE Transactions on Intelligent Vehicles. 9(10). 6450–6461. 9 indexed citations
9.
Tipaldi, Massimo, et al.. (2024). Energy Management System of a Fuel-Cell Hybrid-Electric Aircraft Based on Dynamic Programming. 410–415. 1 indexed citations
10.
Tipaldi, Massimo, et al.. (2023). Gain-Scheduled Structured Control in DC Microgrids. IEEE Transactions on Control Systems Technology. 31(6). 2571–2583. 4 indexed citations
11.
Tipaldi, Massimo, et al.. (2023). A Consensus Q-Learning Approach for Decentralized Control of Shared Energy Storage. IEEE Control Systems Letters. 7. 3447–3452. 4 indexed citations
12.
Iervolino, Raffaele, et al.. (2021). Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming. Automatica. 136. 110061–110061. 21 indexed citations
13.
Madhiarasan, Manoharan, Massimo Tipaldi, & Pierluigi Siano. (2020). Analysis of artificial neural network performance based on influencing factors for temperature forecasting applications. Journal of High Speed Networks. 26(3). 209–223. 13 indexed citations
14.
Iervolino, Raffaele, et al.. (2020). Approximate dynamic programming for stochastic resource allocation problems. IEEE/CAA Journal of Automatica Sinica. 7(4). 975–990. 29 indexed citations
15.
D’Angelo, Gianni, Massimo Tipaldi, Luigi Glielmo, & Salvatore Rampone. (2017). Spacecraft autonomy modeled via Markov decision process and associative rule-based machine learning. 324–329. 21 indexed citations
16.
Tipaldi, Massimo, et al.. (2016). A robust development process for space SW projects. 348–352. 3 indexed citations
17.
Tipaldi, Massimo, et al.. (2016). Measurement and analysis of schedulability of spacecraft on-board software. 47. 545–550. 1 indexed citations
18.
Tipaldi, Massimo & Luigi Glielmo. (2016). State aggregation approximate dynamic programming for model-based spacecraft autonomy. 86–91. 8 indexed citations
19.
Tipaldi, Massimo, et al.. (2015). A Testing Framework for Critical Space SW. ESASP. 732. 57. 1 indexed citations
20.
Tipaldi, Massimo, et al.. (2013). The Robust Software Feedback Model: An Effective Waterfall Model Tailoring for Space SW. ESASP. 720. 9. 3 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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