Franklin A. Graybill
- Statistics and Probability top 0.1%
- Management Science and Operations Research top 0.5%
- Artificial Intelligence top 2%
- Statistics, Probability and Uncertainty top 0.2%
- Economics and Econometrics top 2%
- Co-authors
- P. K. SenAlexander M. MoodG. E. ThomasW. C. KrumbeinGordon V. KassDuane C. BoesGeorge ZyskindB. L. Welch
- Topics
- Advanced Statistical Methods and Models (21 papers)Optimal Experimental Design Methods (15 papers)Statistical Methods and Bayesian Inference (12 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesSri LankaUnited Kingdom
In The Last Decade
Franklin A. Graybill
92 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Statistics and Probability 2.0k
- Management Science and Operations Research 911
- Artificial Intelligence 719
- Statistics, Probability and Uncertainty 626
- Economics and Econometrics 399
Countries citing papers authored by Franklin A. Graybill
This map shows the geographic impact of Franklin A. Graybill'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 Franklin A. Graybill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franklin A. Graybill more than expected).
Fields of papers citing papers by Franklin A. Graybill
This network shows the impact of papers produced by Franklin A. Graybill. 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 Franklin A. Graybill. The network helps show where Franklin A. Graybill may publish in the future.
Co-authorship network of co-authors of Franklin A. Graybill
This figure shows the co-authorship network connecting the top 25 collaborators of Franklin A. Graybill. A scholar is included among the top collaborators of Franklin A. Graybill 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 Franklin A. Graybill. Franklin A. Graybill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An introduction to linear statistical models. | 40 |
| 2 | 2 | |
| 3 | 61 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 16 | |
| 13 | 143 | |
| 14 | 3 | |
| 15 | 60 | |
| 16 | 16 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 12 | |
| 20 | 5 |
About Franklin A. Graybill
Franklin A. Graybill is a scholar working on Statistics and Probability, Computational Mathematics and Management Science and Operations Research, having authored 99 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (21 papers), Optimal Experimental Design Methods (15 papers) and Statistical Methods and Bayesian Inference (12 papers). The work is most often cited by research in Statistics and Probability (2.0k citations), Statistics, Probability and Uncertainty (626 citations) and Management Science and Operations Research (911 citations). Franklin A. Graybill has collaborated with scholars based in United States, Sri Lanka and United Kingdom. Frequent co-authors include P. K. Sen, Alexander M. Mood, G. E. Thomas, W. C. Krumbein, Gordon V. Kass, Duane C. Boes, George Zyskind, B. L. Welch, Dallas E. Johnson and Chih‐Ming Wang. Their work appears in journals such as Science, Journal of the American Statistical Association 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.