Curtis B. Storlie
- Statistics, Probability and Uncertainty top 0.1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Signal Processing top 2%
- Co-authors
- J.C. HeltonCedric Jean-Marie SallaberryJay JohnsonBlake AndersonJoshua NeilLaura SwilerTerran LaneBrian J. Reich
- Topics
- Network Security and Intrusion Detection (12 papers)Probabilistic and Robust Engineering Design (12 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationTechnometrics
- Partner nations
- United StatesItalyHong Kong
In The Last Decade
Curtis B. Storlie
84 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Statistics, Probability and Uncertainty 969
- Artificial Intelligence 460
- Computer Networks and Communications 384
- Computational Theory and Mathematics 350
- Signal Processing 346
Countries citing papers authored by Curtis B. Storlie
This map shows the geographic impact of Curtis B. Storlie'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 Curtis B. Storlie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curtis B. Storlie more than expected).
Fields of papers citing papers by Curtis B. Storlie
This network shows the impact of papers produced by Curtis B. Storlie. 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 Curtis B. Storlie. The network helps show where Curtis B. Storlie may publish in the future.
Co-authorship network of co-authors of Curtis B. Storlie
This figure shows the co-authorship network connecting the top 25 collaborators of Curtis B. Storlie. A scholar is included among the top collaborators of Curtis B. Storlie 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 Curtis B. Storlie. Curtis B. Storlie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 27 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 31 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 48 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 15 | |
| 13 | 62 | |
| 14 | Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering. | 7 |
| 15 | 56 | |
| 16 | An Alternative Bilateral Refitting Model for Zooarchaeological Assemblages | 5 |
| 17 | Variable Selection in Bayesian Smoothing Spline ANOVA Models | 4 |
| 18 | Tracking of multiple merging and splitting targets: A statistical perspective | 12 |
| 19 | 55 | |
| 20 | 11 |
About Curtis B. Storlie
Curtis B. Storlie is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Geriatrics and Gerontology, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Probabilistic and Robust Engineering Design (12 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (969 citations), Health Informatics (107 citations) and Signal Processing (346 citations). Curtis B. Storlie has collaborated with scholars based in United States, Italy and Hong Kong. Frequent co-authors include J.C. Helton, Cedric Jean-Marie Sallaberry, Jay Johnson, Blake Anderson, Joshua Neil, Laura Swiler, Terran Lane, Brian J. Reich, Daniel Quist and Howard D. Bondell. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.