Daniel Chindamo

999 total citations
38 papers, 693 citations indexed

About

Daniel Chindamo is a scholar working on Automotive Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Chindamo has authored 38 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Automotive Engineering, 15 papers in Mechanical Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel Chindamo's work include Vehicle Dynamics and Control Systems (16 papers), Electric Vehicles and Infrastructure (10 papers) and Electric and Hybrid Vehicle Technologies (9 papers). Daniel Chindamo is often cited by papers focused on Vehicle Dynamics and Control Systems (16 papers), Electric Vehicles and Infrastructure (10 papers) and Electric and Hybrid Vehicle Technologies (9 papers). Daniel Chindamo collaborates with scholars based in Italy, Brazil and United Kingdom. Daniel Chindamo's co-authors include Marco Gadola, Basilio Lenzo, Fabrizio Padula, Marcello Romano, Maria Romano, Silvia Cecchel, Giovanna Cornacchia, Giuseppe Tomasoni, Stefano Uberti and J.T. Economou and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Energies.

In The Last Decade

Daniel Chindamo

35 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Chindamo Italy 14 469 295 131 116 101 38 693
Marco Gadola Italy 16 557 1.2× 321 1.1× 135 1.0× 138 1.2× 148 1.5× 52 798
Ivan Kuric Slovakia 19 210 0.4× 422 1.4× 58 0.4× 36 0.3× 135 1.3× 88 824
Rahizar Ramli Malaysia 15 154 0.3× 292 1.0× 63 0.5× 303 2.6× 133 1.3× 51 747
Changsun Ahn South Korea 19 836 1.8× 248 0.8× 635 4.8× 179 1.5× 432 4.3× 66 1.2k
Yongjun Pan China 20 547 1.2× 359 1.2× 284 2.2× 185 1.6× 259 2.6× 72 1.0k
Panos Stavropoulos Greece 14 150 0.3× 435 1.5× 322 2.5× 23 0.2× 46 0.5× 24 704
Z. Shayfull Malaysia 17 335 0.7× 500 1.7× 83 0.6× 87 0.8× 40 0.4× 130 969
Franco Giuseppe Dedini Brazil 19 774 1.7× 158 0.5× 531 4.1× 37 0.3× 122 1.2× 71 1.0k
Chunyan Wang China 18 563 1.2× 294 1.0× 328 2.5× 113 1.0× 190 1.9× 40 918
Tiezhu Zhang China 15 374 0.8× 233 0.8× 277 2.1× 27 0.2× 125 1.2× 68 748

Countries citing papers authored by Daniel Chindamo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chindamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Chindamo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Chindamo. A scholar is included among the top collaborators of Daniel Chindamo 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 Daniel Chindamo. Daniel Chindamo 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.
Chindamo, Daniel, et al.. (2025). Study of different thermal management systems for traction batteries to obtain vehicle lightweighting. Heliyon. 11(3). e42263–e42263.
2.
Gadola, Marco, et al.. (2024). Lightweighting in the automotive industry as a measure for energy efficiency: Review of the main materials and methods. Heliyon. 10(8). e29728–e29728. 25 indexed citations
3.
Chindamo, Daniel, et al.. (2024). Exploring the Impact of Vehicle Lightweighting in Terms of Energy Consumption: Analysis and Simulation on Real Driving Cycle. Energies. 17(24). 6398–6398. 3 indexed citations
4.
Gadola, Marco, et al.. (2023). Exploring the Impact of Vehicle Lightweighting in Terms of Energy Consumption: Analysis and Simulation. Energies. 16(13). 5157–5157. 8 indexed citations
5.
Gadola, Marco, et al.. (2023). Model of a Hybrid Electric Vehicle Equipped with Solid Oxide Fuel Cells Powered by Biomethane. Energies. 16(13). 4918–4918. 8 indexed citations
6.
Gadola, Marco, et al.. (2023). Efficient Regenerative Braking Strategy Aimed at Preserving Vehicle Stability by Preventing Wheel Locking. Transportation research procedia. 70. 28–35. 10 indexed citations
7.
Chindamo, Daniel, et al.. (2022). Regenerative Braking Logic That Maximizes Energy Recovery Ensuring the Vehicle Stability. Energies. 15(16). 5846–5846. 26 indexed citations
9.
Gadola, Marco, et al.. (2022). Analyzing Porpoising on High Downforce Race Cars: Causes and Possible Setup Adjustments to Avoid It. Energies. 15(18). 6677–6677. 2 indexed citations
10.
Gadola, Marco, et al.. (2021). Longitudinal Dynamics Simulation Tool for Hybrid APU and Full Electric Vehicle. Energies. 14(4). 1207–1207. 13 indexed citations
11.
Chindamo, Daniel, et al.. (2021). Sensitivity of Racing Tire Sliding Energy to Major Setup Changes: An Estimate Based on Standard Sensors. Energies. 14(16). 5118–5118. 3 indexed citations
12.
Gadola, Marco, et al.. (2020). On the Influence of Suspension Geometry on Steering Feedback. Applied Sciences. 10(12). 4297–4297. 9 indexed citations
13.
Gadola, Marco, et al.. (2019). The design of a motorcycle featuring fully independent adjustability for front suspension and steering geometry. Institutional Research Information System (Università degli Studi di Brescia). 2 indexed citations
14.
Galli, Alessandra, Guglielmo Frigo, Daniel Chindamo, et al.. (2019). Denoising ECG Signal by CSTFM Algorithm: Monitoring During Motorbike and Car Races. IEEE Transactions on Instrumentation and Measurement. 68(7). 2433–2441. 13 indexed citations
15.
Chindamo, Daniel, Basilio Lenzo, & Marco Gadola. (2018). On the Vehicle Sideslip Angle Estimation: A Literature Review of Methods, Models, and Innovations. Applied Sciences. 8(3). 355–355. 115 indexed citations
16.
Cecchel, Silvia, Daniel Chindamo, Massimo Collotta, et al.. (2018). Lightweighting in light commercial vehicles: cradle-to-grave life cycle assessment of a safety-relevant component. The International Journal of Life Cycle Assessment. 23(10). 2043–2054. 39 indexed citations
17.
Chindamo, Daniel & Marco Gadola. (2018). What is the Most Representative Standard Driving Cycle to Estimate Diesel Emissions of a Light Commercial Vehicle?. IFAC-PapersOnLine. 51(5). 73–78. 32 indexed citations
18.
Gadola, Marco, et al.. (2017). High downforce race car vertical dynamics: aerodynamic index. Vehicle System Dynamics. 56(8). 1269–1288. 10 indexed citations
19.
Chindamo, Daniel, et al.. (2017). Design of a Road Simulator for Motorcycle Applications. Applied Sciences. 7(12). 1220–1220. 7 indexed citations
20.
Cecchel, Silvia, Daniel Chindamo, Enrico Turrini, et al.. (2017). Impact of reduced mass of light commercial vehicles on fuel consumption, CO2 emissions, air quality, and socio-economic costs. The Science of The Total Environment. 613-614. 409–417. 28 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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