Arthur Fries
- Management Science and Operations Research top 1%
- Computational Theory and Mathematics top 1%
- Statistics and Probability top 1%
- Industrial and Manufacturing Engineering top 2%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- William G. HunterG. K. BhattacharyyaAnanda SenR. A. JohnsonNozer D. SingpurwallaDipak K. DeyTelba IronyDaniel Peña
- Topics
- Statistical Distribution Estimation and Applications (5 papers)Reliability and Maintenance Optimization (5 papers)Probabilistic and Robust Engineering Design (4 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputational Theory and Mathematics
- Journals
- Journal of the American Statistical AssociationTechnometricsIEEE Transactions on Reliability
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Arthur Fries
12 papers receiving 642 citations
Peers
Comparison fields: 5 of 58
- Management Science and Operations Research 527
- Computational Theory and Mathematics 356
- Statistics and Probability 310
- Industrial and Manufacturing Engineering 173
- Statistics, Probability and Uncertainty 159
Countries citing papers authored by Arthur Fries
This map shows the geographic impact of Arthur Fries'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 Arthur Fries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Fries more than expected).
Fields of papers citing papers by Arthur Fries
This network shows the impact of papers produced by Arthur Fries. 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 Arthur Fries. The network helps show where Arthur Fries may publish in the future.
Co-authorship network of co-authors of Arthur Fries
This figure shows the co-authorship network connecting the top 25 collaborators of Arthur Fries. A scholar is included among the top collaborators of Arthur Fries 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 Arthur Fries. Arthur Fries is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 37 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 9 | |
| 10 | 75 | |
| 11 | 264 | |
| 12 | 271 |
About Arthur Fries
Arthur Fries is a scholar working on Statistics, Probability and Uncertainty, Software and Statistics and Probability, having authored 12 papers that have together received 713 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (5 papers), Reliability and Maintenance Optimization (5 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Management Science and Operations Research (527 citations), Statistics and Probability (310 citations) and Computational Theory and Mathematics (356 citations). Arthur Fries has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include William G. Hunter, G. K. Bhattacharyya, Ananda Sen, R. A. Johnson, Nozer D. Singpurwalla, Dipak K. Dey, Telba Irony, Daniel Peña, S. Kotz and Jayanta Kumar Ghosh. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Reliability.
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.