Darius Roman

767 citations
9 papers · 579 · 1 hit paper · h-index 7

Impact in

Papers in

Darius Roman

9 papers receiving 567 citations

Darius Roman's Hit Papers

Machine learning pipeline for battery state-of-health estimation 2021 · 446 citations
4460+1+3Years since publication100200300400

Peers

Darius Roman
Comparison fields: 5 of 60
  • Automotive Engineering 454
  • Safety, Risk, Reliability and Quality 82
  • Electrical and Electronic Engineering 407
  • Control and Systems Engineering 116
  • Energy Engineering and Power Technology 13
Replace Taiqiang Cao with:
Taiqiang Cao China
Changhui Qu China
Jianping Wen China
Mattin Lucu Spain
Xiaowei Zhao China
Chaofeng Pan China
Changgui Yuan China
Xiangbao Song Hong Kong
Ruifeng Zhang China
Darius Roman relative to Taiqiang Cao China Taiqiang Cao's profile →
Citations per field
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Taiqiang Cao · 1×
Citations per year

Countries citing papers authored by Darius Roman

Since Specialization
Citations

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

Fields of papers citing papers by Darius Roman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Darius Roman, 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 Darius Roman Line = papers co-authored together Darius Roman links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Machine learning pipeline for battery state-of-health estimation
Hit paper breakdown →
2021446
2 202037
3 202028
4 202127
5 202119
6 20198
7 20178
8 20243
9 20213

About Darius Roman

Darius Roman is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Environmental Engineering, having authored 9 papers that have together received 579 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (6 papers), Advancements in Battery Materials (3 papers), Maritime Transport Emissions and Efficiency (2 papers), Machine Fault Diagnosis Techniques (2 papers), Advanced Battery Materials and Technologies (1 paper), Electric Vehicles and Infrastructure (1 paper), Engineering Diagnostics and Reliability (1 paper) and Drilling and Well Engineering (1 paper). The work is most often cited by research in Automotive Engineering (454 citations), Safety, Risk, Reliability and Quality (82 citations), Electrical and Electronic Engineering (407 citations), Control and Systems Engineering (116 citations) and Energy Engineering and Power Technology (13 citations). Darius Roman has collaborated with scholars based in United Kingdom, Netherlands and Malaysia. Frequent co-authors include David Flynn, Valentin Robu, Saurabh Saxena, Michael Pecht, Gulshan Singh and J. Swingler. Their work appears in journals such as IEEE Access, Energies, The Journal of Engineering, Nature Machine Intelligence and Data Archiving and Networked Services (DANS).

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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