Ivan Arsie

2.3k citations
149 papers · 1.9k · h-index 24

Impact in

Papers in

Ivan Arsie

143 papers receiving 1.8k citations

Peers

Ivan Arsie
Comparison fields: 5 of 66
  • Fluid Flow and Transfer Processes 734
  • Automotive Engineering 1.2k
  • Energy Engineering and Power Technology 73
  • Control and Systems Engineering 324
  • Electrical and Electronic Engineering 685
Replace Niranjan Sahoo with:
Niranjan Sahoo India
Chris Brace United Kingdom
Christopher Depcik United States
Benjamín Plá Spain
Federico Millo Italy
Aymeric Rousseau United States
Sumit Roy India
Hadi Taghavifar Iran
Felix Leach United Kingdom
Amir-Hasan Kakaee Iran
Ivan Arsie relative to Niranjan Sahoo India Niranjan Sahoo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivan Arsie

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Arsie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Arsie, 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 Ivan Arsie Line = papers co-authored together Ivan Arsie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011109
2
Optimization of Supervisory Control Strategy for Parallel Hybrid Vehicle with Provisional Load Estimate
200455
3 201854
4 202052
5 199849
6 201544
7 200644
8 201743
9 200541
10 202140
11 200036
12 201532
13 201430
14 202329
15 200329
16 201329
17 199626
18 200626
19 200126
20 200525

About Ivan Arsie

Ivan Arsie is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes, Electrical and Electronic Engineering, Control and Systems Engineering and Computational Mechanics, having authored 149 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (83 papers), Vehicle emissions and performance (60 papers), Electric and Hybrid Vehicle Technologies (45 papers), Electric Vehicles and Infrastructure (30 papers), Advanced Battery Technologies Research (27 papers), Combustion and flame dynamics (21 papers), Catalytic Processes in Materials Science (17 papers) and Biodiesel Production and Applications (14 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (734 citations), Automotive Engineering (1.2k citations), Energy Engineering and Power Technology (73 citations), Control and Systems Engineering (324 citations) and Electrical and Electronic Engineering (685 citations). Ivan Arsie has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Cesare Pianese, Marco Sorrentino, Gianfranco Rizzo, Matteo De Cesare, Pierpaolo Polverino, Gianfranco Rizzo, Vincenzo Marano, Eugenio Meloni, Vincenzo Palma and Elio Jannelli. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Energies, Control Engineering Practice, International Journal of Engine Research and Journal of Fuel Cell Science and Technology.

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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