Antonio Sciarretta

7.8k total citations · 5 hit papers
107 papers, 5.9k citations indexed

About

Antonio Sciarretta is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Antonio Sciarretta has authored 107 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Automotive Engineering, 34 papers in Electrical and Electronic Engineering and 32 papers in Control and Systems Engineering. Recurrent topics in Antonio Sciarretta's work include Electric and Hybrid Vehicle Technologies (55 papers), Vehicle emissions and performance (39 papers) and Electric Vehicles and Infrastructure (30 papers). Antonio Sciarretta is often cited by papers focused on Electric and Hybrid Vehicle Technologies (55 papers), Vehicle emissions and performance (39 papers) and Electric Vehicles and Infrastructure (30 papers). Antonio Sciarretta collaborates with scholars based in France, Italy and United States. Antonio Sciarretta's co-authors include Lino Guzzella, Ardalan Vahidi, Michael Back, Giovanni De Nunzio, Alexandre Chasse, Luis Leon Ojeda, Paul Rodatz, Gino Paganelli, Laurent Thibault and Jihun Han and has published in prestigious journals such as Automatica, Journal of Abnormal Psychology and IEEE Transactions on Vehicular Technology.

In The Last Decade

Antonio Sciarretta

107 papers receiving 5.7k citations

Hit Papers

Control of hybrid electric vehicles 2004 2026 2011 2018 2007 2007 2004 2018 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Sciarretta France 29 5.2k 3.5k 1.3k 685 467 107 5.9k
Huei Peng United States 24 3.3k 0.6× 2.4k 0.7× 981 0.8× 215 0.3× 381 0.8× 41 3.9k
Simona Onori United States 39 6.0k 1.1× 5.2k 1.5× 1.3k 1.0× 315 0.5× 623 1.3× 209 7.1k
Pierluigi Pisu United States 31 2.6k 0.5× 2.2k 0.6× 1.7k 1.3× 159 0.2× 249 0.5× 155 3.7k
Lars Nielsen Sweden 30 2.3k 0.4× 516 0.1× 2.0k 1.5× 779 1.1× 898 1.9× 158 4.0k
Yuanjian Zhang China 32 2.7k 0.5× 2.2k 0.6× 739 0.6× 115 0.2× 101 0.2× 131 3.1k
Fuwu Yan China 27 1.4k 0.3× 987 0.3× 316 0.2× 897 1.3× 307 0.7× 167 2.9k
Nasser L. Azad Canada 22 1.4k 0.3× 740 0.2× 742 0.6× 102 0.1× 253 0.5× 138 1.9k
Massimo Ceraolo Italy 23 2.0k 0.4× 2.2k 0.6× 950 0.7× 87 0.1× 271 0.6× 111 3.0k
Abbas Fotouhi United Kingdom 23 1.8k 0.4× 1.7k 0.5× 331 0.3× 49 0.1× 72 0.2× 66 2.2k
Giovanni Fiengo Italy 19 1.0k 0.2× 793 0.2× 660 0.5× 174 0.3× 109 0.2× 73 1.7k

Countries citing papers authored by Antonio Sciarretta

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Sciarretta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Sciarretta

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Sciarretta. A scholar is included among the top collaborators of Antonio Sciarretta 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 Antonio Sciarretta. Antonio Sciarretta 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.
Balać, Miloš, et al.. (2025). Deep learning approach to predict microscopic pollutant emissions from mesoscopic traffic simulations. Transportation Research Part D Transport and Environment. 146. 104791–104791. 1 indexed citations
2.
Sciarretta, Antonio, et al.. (2024). Closed-Form Expression to Estimate the Hydrogen Consumption of a Fuel Cell Hybrid Electric Vehicle. IEEE Transactions on Vehicular Technology. 73(4). 4717–4728. 5 indexed citations
3.
Sciarretta, Antonio, et al.. (2024). Deep Learning-Based Mesoscopic Pollutant Emissions Modeling in Road Traffic Networks. 51. 1–7. 1 indexed citations
4.
Signorini, Sabrina, et al.. (2024). Bridging early life trauma to difficult-to-treat depression: scoping review. BJPsych Bulletin. 49(6). 412–423. 2 indexed citations
5.
Sciarretta, Antonio, et al.. (2023). Analytical Models for the Sizing Optimization of Fuel Cell Hybrid Electric Vehicle Powertrains. SAE International Journal of Advances and Current Practices in Mobility. 6(4). 1936–1953. 2 indexed citations
6.
Gupta, Shobhit, et al.. (2023). Predicting Lead Vehicle Velocity for Eco-Driving in the Absence of V2V Information. SAE International Journal of Advances and Current Practices in Mobility. 5(6). 2278–2287. 2 indexed citations
7.
Sciarretta, Antonio, et al.. (2023). A Two-Stage Deep Learning Based Approach for Predicting Instantaneous Vehicle Speed Profiles on Road Networks. 51. 1636–1642. 1 indexed citations
8.
Michel, Pierre, et al.. (2023). A Bi-Level Optimization Approach for Eco-Driving of Heavy-Duty Vehicles. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
9.
Signorini, Sabrina, et al.. (2022). Depressione resistente a trattamento. Dalla classificazione alle nuove terapie. Rivista di psichiatria. 57(6). 258–272. 2 indexed citations
10.
Sciarretta, Antonio, et al.. (2021). Cooperative Levels in Eco-Driving of Electric Vehicle Platoons. 1163–1170. 6 indexed citations
11.
Han, Jihun, Jackeline Rios-Torres, Ardalan Vahidi, & Antonio Sciarretta. (2018). Impact of Model Simplification on Optimal Control of Combustion Engine and Electric Vehicles Considering Control Input Constraints. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 37. 1–6. 5 indexed citations
12.
Spataro, Pietro, Daniele Saraulli, Vincenzo Cestari, et al.. (2016). Implicit memory in schizophrenia: a meta-analysis. Comprehensive Psychiatry. 69. 136–144. 10 indexed citations
13.
Nunzio, Giovanni De, Laurent Thibault, & Antonio Sciarretta. (2016). A model-based eco-routing strategy for electric vehicles in large urban networks. HAL (Le Centre pour la Communication Scientifique Directe). 2301–2306. 16 indexed citations
14.
Tona, Paolino, et al.. (2015). Optimal control for an organic rankine cycle on board a diesel-electric railcar. Journal of Process Control. 33. 1–13. 50 indexed citations
15.
Rossi‐Arnaud, Clelia, Pietro Spataro, Daniele Saraulli, et al.. (2014). The attentional boost effect in schizophrenia.. Journal of Abnormal Psychology. 123(3). 588–597. 5 indexed citations
16.
Cestari, Vincenzo, et al.. (2013). Memory for symmetry and perceptual binding in patients with schizophrenia. Acta Psychologica. 144(3). 594–603. 4 indexed citations
17.
Sciarretta, Antonio, et al.. (2013). Modular Methodology to Optimize Innovative Drivetrains. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
18.
Caloro, Matteo, Luana Lionetto, Ilaria Cuomo, et al.. (2012). An improved simple LC–MS/MS method for the measurement of serum aripiprazole and its major metabolite. Journal of Pharmaceutical and Biomedical Analysis. 62. 135–139. 28 indexed citations
19.
Sciarretta, Antonio, et al.. (2007). A Causal Operation Strategy for Hybrid Electric Vehicles based on Optimal Control Theory. 317–331. 19 indexed citations
20.
Cipollone, Roberto, et al.. (2005). A comprehensive model of a sliding vane rotary compressor system. 8 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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