Frank Proschan
- Statistics and Probability top 0.01%
- Safety, Risk, Reliability and Quality top 0.01%
- Statistics, Probability and Uncertainty top 0.01%
- Management Science and Operations Research top 0.05%
- Software top 0.05%
- Co-authors
- Richard E. BarlowDonald R. SmithKumar Joag‐DevJ. D. EsaryPhilip J. BolandErwin StraubEmad El-NeweihiLarry C. Hunter
- Topics
- Statistical Distribution Estimation and Applications (87 papers)Reliability and Maintenance Optimization (58 papers)Probability and Risk Models (31 papers)
- Partner nations
- United StatesIrelandSaudi Arabia
In The Last Decade
Frank Proschan
170 papers receiving 13.7k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Statistics and Probability 8.2k
- Safety, Risk, Reliability and Quality 6.1k
- Statistics, Probability and Uncertainty 4.2k
- Management Science and Operations Research 4.0k
- Software 2.5k
Countries citing papers authored by Frank Proschan
This map shows the geographic impact of Frank Proschan'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 Frank Proschan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Proschan more than expected).
Fields of papers citing papers by Frank Proschan
This network shows the impact of papers produced by Frank Proschan. 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 Frank Proschan. The network helps show where Frank Proschan may publish in the future.
Co-authorship network of co-authors of Frank Proschan
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Proschan. A scholar is included among the top collaborators of Frank Proschan 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 Frank Proschan. Frank Proschan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 86 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 45 | |
| 14 | Multivariate Life Table Analysis, | 1 |
| 15 | 104 | |
| 16 | 214 | |
| 17 | Reliability and biometry : statistical analysis of lifelength : papers | 2 |
| 18 | Stochastic Comparison of Sums, Using Majorization. | 1 |
| 19 | 11 | |
| 20 | Estimating the Parameters of a Bivariate Exponential Distribution in Several Sampling Situations. | 7 |
About Frank Proschan
Frank Proschan is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Software, having authored 175 papers that have together received 15.2k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (87 papers), Reliability and Maintenance Optimization (58 papers) and Probability and Risk Models (31 papers). The work is most often cited by research in Statistics and Probability (8.2k citations), Safety, Risk, Reliability and Quality (6.1k citations) and Software (2.5k citations). Frank Proschan has collaborated with scholars based in United States, Ireland and Saudi Arabia. Frequent co-authors include Richard E. Barlow, Donald R. Smith, Kumar Joag‐Dev, J. D. Esary, Philip J. Boland, Erwin Straub, Emad El-Neweihi, Larry C. Hunter, David W. Walkup and Myles Hollander. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Technometrics.
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.