Frank M. Guess
About
In The Last Decade
Frank M. Guess
52 papers receiving 710 citations
Peers
Comparison fields: 5 of 112
- Statistics and Probability 447
- Statistics, Probability and Uncertainty 357
- Safety, Risk, Reliability and Quality 231
- Management Science and Operations Research 77
- Mechanics of Materials 73
Countries citing papers authored by Frank M. Guess
This map shows the geographic impact of Frank M. Guess'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 M. Guess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank M. Guess more than expected).
Fields of papers citing papers by Frank M. Guess
This network shows the impact of papers produced by Frank M. Guess. 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 M. Guess. The network helps show where Frank M. Guess may publish in the future.
Co-authorship network of co-authors of Frank M. Guess
This figure shows the co-authorship network connecting the top 25 collaborators of Frank M. Guess. A scholar is included among the top collaborators of Frank M. Guess 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 M. Guess. Frank M. Guess is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | Logistic regression models of factors influencing the location of bioenergy and biofuels plants | 1 |
| 3 | Using Reliability Tools to Characterize Wood Strand Thickness of Oriented Strand Board Panels | 1 |
| 4 | Using R Software for Reliability Data Analysis | 6 |
| 5 | Bootstrap confidence intervals for percentiles of reliability data for wood-plastic composites | 12 |
| 6 | Exploring Reliability of Wood - Plastic Composites | 8 |
| 7 | Exploring Reliability of Oriented Strand Board's Tensile and Stiffness Strengths | 8 |
| 8 | Applying a Forced Censoring Technique with Accelerated Modeling for Improving Estimation of Extremely Small Percentiles of Strengths | 7 |
| 9 | Applying Novel Mean Residual Life Confidence Intervals | 10 |
| 10 | 7 | |
| 11 | Using Mean Residual Life Functions for Unique Insights into Strengths of Materials Data | 6 |
| 12 | Forcing a Closer Fit in the Lower Tails of a Distribution for Better Estimating Extremely Small Percentiles of Strengths | 11 |
| 13 | Exploring Graphically and Statistically the Reliability of Medium Density Fiberboard | 11 |
| 14 | Mining Information in Automated Relational Databases for Improving Reliability in Forest Products Manufacturing | 10 |
| 15 | A Statistical Analysis of Tree-Harvesting Worker Safety | 2 |
| 16 | Improving Information Quality in Loan Approval Processes for Fair Lending and Fair Pricing. | 1 |
| 17 | Developing a Data Quality Strategy in a Provider of Web-based Health Information System. | 1 |
| 18 | Continuously improving data quality in persistent databases | 5 |
| 19 | 53 | |
| 20 | 6 |
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.