Giulio Ripaccioli

530 citations
9 papers · 449 · h-index 6

Impact in

    • Electric and Hybrid Vehicle Technologies
    • Vehicle Dynamics and Control Systems
    • Vehicle emissions and performance
    • Engine and Fuel Emissions
    • Advanced Control Systems Optimization
    • Traffic control and management

Papers in

Giulio Ripaccioli

9 papers receiving 435 citations

Peers

Giulio Ripaccioli
Comparison fields: 5 of 25
  • Automotive Engineering 291
  • Control and Systems Engineering 175
  • Fluid Flow and Transfer Processes 8
  • Electrical and Electronic Engineering 30
  • Social Psychology 6
Replace Shengnan Fang with:
Shengnan Fang China
Bram Bonsen Netherlands
Kathleen E. Bailey United States
V. K. Narendran United States
Bas Vroemen Netherlands
Yulong Zhao China
Pedro Ascencio United Kingdom
Susan R. Cikanek United States
Junda Zhang China
Young Seop Son South Korea
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Citations per field
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Shengnan Fang · 1×
Citations per year

Countries citing papers authored by Giulio Ripaccioli

Since Specialization
Citations

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

Fields of papers citing papers by Giulio Ripaccioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Giulio Ripaccioli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Giulio Ripaccioli Line = papers co-authored together Giulio Ripaccioli links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2010180
2 201091
3 200970
4 200666
5 201024
6 20117
7 20095
8 20094
9 20102

About Giulio Ripaccioli

Giulio Ripaccioli is a scholar working on Automotive Engineering, Control and Systems Engineering, Computer Networks and Communications, Electrical and Electronic Engineering and Nuclear Energy and Engineering, having authored 9 papers that have together received 449 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (5 papers), Electric and Hybrid Vehicle Technologies (3 papers), Distributed Control Multi-Agent Systems (1 paper), Vehicle Dynamics and Control Systems (1 paper) and Fuel Cells and Related Materials (1 paper). The work is most often cited by research in Automotive Engineering (291 citations), Control and Systems Engineering (175 citations), Fluid Flow and Transfer Processes (8 citations), Electrical and Electronic Engineering (30 citations) and Social Psychology (6 citations). Giulio Ripaccioli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alberto Bemporad, Ilya V. Kolmanovsky, Stefano Di Cairano, Daniele Bernardini, Davor Hrovat, N. Giorgetti, Francis Assadian, Davide Barcelli, Jason B. Siegel and Anna G. Stefanopoulou. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, Lecture notes in computer science, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings, IFAC Proceedings Volumes and Proceedings of the ASME Dynamic Systems and Control Conference.

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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