Massimo Tipaldi
Impact in
- Medical Laboratory Technology top 10%
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- Fault Detection and Control Systems
Papers in
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- Fault Detection and Control Systems 7
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- Reinforcement Learning in Robotics 10
- Advanced Software Engineering Methodologies 7
- Co-authors
- Luigi Glielmo (21 shared papers)Raffaele Iervolino (11 shared papers)Gianni D’Angelo (4 shared papers)Pierluigi Siano (2 shared papers)Davide Liuzza (5 shared papers)Subhrakanti Dey (2 shared papers)Hassan Haes Alhelou (1 shared paper)Manoharan Madhiarasan (1 shared paper)
In The Last Decade
Massimo Tipaldi
57 papers receiving 558 citations
Peers
Comparison fields: 5 of 78
- Medical Laboratory Technology 13
- Control and Systems Engineering 177
- Automotive Engineering 78
- Software 24
- Aerospace Engineering 131
Countries citing papers authored by Massimo Tipaldi
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
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-authors
The 25 scholars most cited alongside Massimo Tipaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 56 | |
| 2 | 2017 | 49 | |
| 3 | 2015 | 45 | |
| 4 | 2020 | 34 | |
| 5 | 2020 | 30 | |
| 6 | 2020 | 29 | |
| 7 | 2021 | 22 | |
| 8 | 2017 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 17 | |
| 12 | 2020 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2018 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2024 | 9 |
About Massimo Tipaldi
Massimo Tipaldi is a scholar working on Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 63 papers that have together received 578 indexed citations. Recurring topics across this work include Smart Grid Energy Management (10 papers), Reinforcement Learning in Robotics (10 papers), Distributed systems and fault tolerance (9 papers), Adaptive Dynamic Programming Control (8 papers), Spacecraft Design and Technology (7 papers), Advanced Software Engineering Methodologies (7 papers), Fault Detection and Control Systems (7 papers) and Electric Vehicles and Infrastructure (7 papers). The work is most often cited by research in Medical Laboratory Technology (13 citations), Control and Systems Engineering (177 citations), Automotive Engineering (78 citations), Software (24 citations) and Aerospace Engineering (131 citations). Massimo Tipaldi has collaborated with scholars based in Italy, Ireland and Iran. Frequent co-authors include Luigi Glielmo, Raffaele Iervolino, Gianni D’Angelo, Pierluigi Siano, Davide Liuzza, Subhrakanti Dey, Hassan Haes Alhelou, Manoharan Madhiarasan, Francesco Palmieri and Salvatore Rampone. Their work appears in journals such as IEEE Control Systems Letters, International Journal of Control, Automatica, IEEE Systems Journal and Annual Reviews in 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.