Gino Paganelli

2.2k total citations · 1 hit paper
16 papers, 1.8k citations indexed

About

Gino Paganelli is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Gino Paganelli has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Automotive Engineering and 4 papers in Materials Chemistry. Recurrent topics in Gino Paganelli's work include Electric and Hybrid Vehicle Technologies (12 papers), Fuel Cells and Related Materials (11 papers) and Advanced Battery Technologies Research (6 papers). Gino Paganelli is often cited by papers focused on Electric and Hybrid Vehicle Technologies (12 papers), Fuel Cells and Related Materials (11 papers) and Advanced Battery Technologies Research (6 papers). Gino Paganelli collaborates with scholars based in United States, France and Switzerland. Gino Paganelli's co-authors include Thierry‐Marie Guerra, S. Delprat, Lino Guzzella, Paul Rodatz, Antonio Sciarretta, Yann Guezennec, Giorgio Rizzoni, Marielle Delhom, Michael Moran and Jimmy Lauber and has published in prestigious journals such as Journal of Power Sources, SAE technical papers on CD-ROM/SAE technical paper series and Control Engineering Practice.

In The Last Decade

Gino Paganelli

16 papers receiving 1.7k citations

Hit Papers

Equivalent consumption minimization strategy for parallel... 2003 2026 2010 2018 2003 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Equivalent consumption minimization strategy for parallel hybrid powertrains
    2003 515 citations Gino Paganelli, S. Delprat et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gino Paganelli United States 14 1.5k 1.4k 184 183 150 16 1.8k
Jennifer Bauman Canada 18 974 0.6× 1.4k 1.0× 12 0.1× 74 0.4× 234 1.6× 69 1.6k
Frédéric Gustin France 13 1.0k 0.7× 1.1k 0.8× 11 0.1× 181 1.0× 245 1.6× 32 1.5k
Ellen M. Pawlikowski United States 5 1.8k 1.1× 1.6k 1.2× 28 0.2× 31 0.2× 81 0.5× 8 1.9k
Xiuliang Zhao China 19 834 0.5× 840 0.6× 298 1.6× 32 0.2× 175 1.2× 45 1.2k
Farid Arafat Azidin Malaysia 5 601 0.4× 578 0.4× 30 0.2× 40 0.2× 69 0.5× 11 747
Kai Ou China 16 412 0.3× 734 0.5× 17 0.1× 327 1.8× 100 0.7× 38 865
Mehmet Büyük Türkiye 12 396 0.3× 702 0.5× 12 0.1× 117 0.6× 227 1.5× 27 809
Sanjaka G. Wirasingha United States 12 1.1k 0.7× 986 0.7× 39 0.2× 31 0.2× 127 0.8× 19 1.2k
Jinzhou Chen China 14 306 0.2× 384 0.3× 26 0.1× 84 0.5× 79 0.5× 32 514
Ashley Fly United Kingdom 15 467 0.3× 799 0.6× 13 0.1× 227 1.2× 47 0.3× 33 947

Countries citing papers authored by Gino Paganelli

Since Specialization
Citations

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

Fields of papers citing papers by Gino Paganelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gino Paganelli

This figure shows the co-authorship network connecting the top 25 collaborators of Gino Paganelli. A scholar is included among the top collaborators of Gino Paganelli 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 Gino Paganelli. Gino Paganelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Vincent, Rémi, et al.. (2016). Proton exchange membrane fuel cell reversible performance loss induced by carbon monoxide produced during operation. Journal of Power Sources. 324. 492–498. 30 indexed citations
2.
Büchi, Félix N., Gino Paganelli, Philipp‐Immanuel Dietrich, et al.. (2007). Consumption and Efficiency of a Passenger Car with a Hydrogen/Oxygen PEFC based Hybrid Electric Drivetrain. Fuel Cells. 7(4). 329–335. 15 indexed citations
3.
Büchi, Félix N., Stefan A. Freunberger, Mathias Reum, et al.. (2006). On the Efficiency of an Advanced Automotive Fuel Cell System. Fuel Cells. 7(2). 159–164. 13 indexed citations
4.
Paganelli, Gino, et al.. (2004). Optimizing air supply control of a PEM fuel cell system. 3. 2043–2048. 65 indexed citations
5.
Rodatz, Paul, Gino Paganelli, Antonio Sciarretta, & Lino Guzzella. (2004). Optimal power management of an experimental fuel cell/supercapacitor-powered hybrid vehicle. Control Engineering Practice. 13(1). 41–53. 332 indexed citations
6.
Paganelli, Gino, et al.. (2003). Equivalent consumption minimization strategy for parallel hybrid powertrains. 4. 2076–2081. 515 indexed citations breakdown →
7.
Paganelli, Gino, Thierry‐Marie Guerra, S. Delprat, Yann Guezennec, & Giorgio Rizzoni. (2002). OPTIMAL CONTROL THEORY APPLIED TO HYBRID FUEL CELL POWERED VEHICLE. IFAC Proceedings Volumes. 35(1). 253–258. 22 indexed citations
8.
Paganelli, Gino, et al.. (2002). Proton Exchange Membrane Fuel Cell System Model for Automotive Vehicle Simulation and Control. Journal of Energy Resources Technology. 124(1). 20–27. 109 indexed citations
9.
Paganelli, Gino, et al.. (2002). On-Board Reforming Effects on the Performance of Proton Exchange Membrane (PEM) Fuel Cell Vehicles. Journal of Energy Resources Technology. 124(3). 191–196. 5 indexed citations
10.
Paganelli, Gino, Yann Guezennec, & Giorgio Rizzoni. (2002). Optimizing Control Strategy for Hybrid Fuel Cell Vehicle. SAE technical papers on CD-ROM/SAE technical paper series. 1. 94 indexed citations
11.
Paganelli, Gino, et al.. (2001). Proton Exchange Membrane (PEM) Fuel Cell System Model for Automotive Vehicle Simulation and Control. Advanced Energy Systems. 555–563. 15 indexed citations
12.
Paganelli, Gino. (2001). General supervisory control policy for the energy optimization of charge-sustaining hybrid electric vehicles. JSAE Review. 22(4). 511–518. 282 indexed citations
13.
Delprat, S., Thierry‐Marie Guerra, Gino Paganelli, Jimmy Lauber, & Marielle Delhom. (2001). Control strategy optimization for an hybrid parallel powertrain. 1315–1320 vol.2. 55 indexed citations
14.
Paganelli, Gino, et al.. (2001). Component Power Sizing and Limits of Operation for Proton Exchange Membrane (PEM) Fuel Cell/Battery Hybrid Automotive Applications. Dynamic Systems and Control. 189–197. 23 indexed citations
15.
Paganelli, Gino, et al.. (2001). Battery Dynamic Modeling and Real-Time State-of-Charge Estimation in Hybrid Electric Vehicle Application. Dynamic Systems and Control. 149–155. 4 indexed citations
16.
Paganelli, Gino, et al.. (2000). Simulation and assessment of power control strategies for a parallel hybrid car. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 214(7). 705–717. 208 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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