Andrew Starr

113 papers receiving 1.6k citations

Peers

Andrew Starr
Comparison fields: 5 of 134
  • Medical Laboratory Technology 72
  • Industrial and Manufacturing Engineering 250
  • Safety, Risk, Reliability and Quality 152
  • Control and Systems Engineering 389
  • Mechanical Engineering 497
Replace Jihong Yan with:
Jihong Yan China
Samir Khan United Kingdom
Ian Jennions United Kingdom
Satish Kumar India
Xiaodong Jia United States
Hongfu Zuo China
Brigitte Chebel‐Morello France
Lei Xiao China
Chaoqun Duan China
Andrew Starr relative to Jihong Yan China Jihong Yan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Andrew Starr

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005152
2 2008110
3 2006104
4 202189
5 200889
6 201048
7 201841
8 202339
9 201037
10 201836
11 200334
12 201530
13 199729
14 202125
15 201824
16 202324
17 201923
18 200622
19 201621
20 200021

About Andrew Starr

Andrew Starr is a scholar working on Mechanical Engineering, Control and Systems Engineering, Mechanics of Materials, Civil and Structural Engineering and Industrial and Manufacturing Engineering, having authored 120 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (14 papers), Infrastructure Maintenance and Monitoring (11 papers), Machine Fault Diagnosis Techniques (11 papers), Reliability and Maintenance Optimization (10 papers), Fatigue and fracture mechanics (9 papers), Non-Destructive Testing Techniques (9 papers), Gear and Bearing Dynamics Analysis (9 papers) and Railway Engineering and Dynamics (9 papers). The work is most often cited by research in Medical Laboratory Technology (72 citations), Industrial and Manufacturing Engineering (250 citations), Safety, Risk, Reliability and Quality (152 citations), Control and Systems Engineering (389 citations) and Mechanical Engineering (497 citations). Andrew Starr has collaborated with scholars based in United Kingdom, United Arab Emirates and Pakistan. Frequent co-authors include Muhammad Khan, Alhussein Albarbar, Cristobal Ruiz-Cárcel, Peter J. Bryanston-Cross, Samir Mekid, A.Y.T. Leung, Jyoti K. Sinha, Wei Hu, Ejay Nsugbe and Andrew Ball. Their work appears in journals such as Sensors, Insight - Non-Destructive Testing and Condition Monitoring, Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology, Computers in Industry and Strain.

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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