Robert Arno
Impact in
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- Power System Reliability and Maintenance
- Reliability and Maintenance Optimization
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- Risk and Safety Analysis
- Probabilistic and Robust Engineering Design
Papers in
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- Power System Reliability and Maintenance 23
- Reliability and Maintenance Optimization 14
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- Electrical Fault Detection and Protection 5
- Optimal Power Flow Distribution 3
- Co-authors
- D.O. Koval (3 shared papers)Peter Groß (4 shared papers)Michael Anthony (4 shared papers)Matthew Bartos (1 shared paper)S. Fairfax (2 shared papers)Scott D. Wilson (1 shared paper)
- Journals
- IEEE Transactions on Industry Applications (11 papers)IEEE Industry Applications Magazine (3 papers)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Robert Arno
31 papers receiving 296 citations
Peers
Comparison fields: 5 of 52
- Safety, Risk, Reliability and Quality 178
- Statistics, Probability and Uncertainty 62
- Software 22
- Control and Systems Engineering 88
- Medical Laboratory Technology 4
Countries citing papers authored by Robert Arno
This map shows the geographic impact of Robert Arno'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 Robert Arno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Arno more than expected).
Fields of papers citing papers by Robert Arno
This network shows the impact of papers produced by Robert Arno. 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 Robert Arno. The network helps show where Robert Arno may publish in the future.
Co-authors
The 6 scholars most cited alongside Robert Arno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 39 | |
| 2 | 2011 | 32 | |
| 3 | 2002 | 23 | |
| 4 | 2002 | 19 | |
| 5 | 2003 | 19 | |
| 6 | 2001 | 15 | |
| 7 | 2002 | 13 | |
| 8 | 2015 | 13 | |
| 9 | 2002 | 13 | |
| 10 | 2013 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2004 | 9 | |
| 13 | 2011 | 9 | |
| 14 | 1998 | 9 | |
| 15 | 1999 | 8 | |
| 16 | 2005 | 8 | |
| 17 | 2010 | 7 | |
| 18 | 2002 | 7 | |
| 19 | 2014 | 6 | |
| 20 | 2005 | 6 |
About Robert Arno
Robert Arno is a scholar working on Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering, Control and Systems Engineering, Statistics, Probability and Uncertainty and Mechanical Engineering, having authored 33 papers that have together received 314 indexed citations. Recurring topics across this work include Power System Reliability and Maintenance (23 papers), Reliability and Maintenance Optimization (14 papers), Smart Grid Security and Resilience (6 papers), Risk and Safety Analysis (5 papers), Electrical Fault Detection and Protection (5 papers), Non-Destructive Testing Techniques (4 papers), Optimal Power Flow Distribution (3 papers) and Transportation Systems and Infrastructure (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (178 citations), Statistics, Probability and Uncertainty (62 citations), Software (22 citations), Control and Systems Engineering (88 citations) and Medical Laboratory Technology (4 citations). Robert Arno has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include D.O. Koval, Peter Groß, Michael Anthony, Matthew Bartos, S. Fairfax and Scott D. Wilson. Their work appears in journals such as IEEE Transactions on Industry Applications and IEEE Industry Applications Magazine.
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.