Massimo Cardone

1.5k citations
57 papers · 1.2k · h-index 17

Impact in

Papers in

Massimo Cardone

55 papers receiving 1.1k citations

Peers

Massimo Cardone
Comparison fields: 5 of 83
  • Fluid Flow and Transfer Processes 524
  • Automotive Engineering 321
  • Biomedical Engineering 591
  • Computational Mechanics 204
  • Energy Engineering and Power Technology 26
Replace Mohd Farid Muhamad Said with:
Mohd Farid Muhamad Said Malaysia
Murat Hoşöz Türkiye
Wira Jazair Yahya Malaysia
Erdi Tosun Türkiye
I.M. Yusri Malaysia
Rahul Banerjee India
Adolfo Senatore Italy
Jinlin Xue China
Biplab Kumar Debnath India
Massimo Cardone relative to Mohd Farid Muhamad Said Malaysia Mohd Farid Muhamad Said's profile →
Citations per field
00.5×3.1×
Mohd Farid Muhamad Said · 1×
Citations per year

Countries citing papers authored by Massimo Cardone

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Cardone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003226
2 2002175
3 2000156
4 202153
5 201547
6 201538
7 200835
8 201429
9 201528
10 200525
11 201524
12 200624
13 201622
14 201521
15 201519
16 201517
17 201716
18 201815
19 201514
20 200713

About Massimo Cardone

Massimo Cardone is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes, Mechanical Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (23 papers), Vehicle emissions and performance (15 papers), Biodiesel Production and Applications (14 papers), Electric and Hybrid Vehicle Technologies (12 papers), Refrigeration and Air Conditioning Technologies (8 papers), Real-time simulation and control systems (7 papers), Vehicle Dynamics and Control Systems (6 papers) and Advanced Battery Technologies Research (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (524 citations), Automotive Engineering (321 citations), Biomedical Engineering (591 citations), Computational Mechanics (204 citations) and Energy Engineering and Power Technology (26 citations). Massimo Cardone has collaborated with scholars based in Italy and Poland. Frequent co-authors include Adolfo Senatore, Vittorio Rocco, Sandra Vitolo, Maria Vittoria Prati, Paolo Iodice, Maurizia Seggiani, Giovanni Vorraro, R. Bontempo, M. Manna and Marco Mazzoncini. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Energies, Energy Conversion and Management, Energy and Energy & Environment.

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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