Thomas E. Miller
About
In The Last Decade
Thomas E. Miller
214 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Ecology, Evolution, Behavior and Systematics 1.8k
- Nature and Landscape Conservation 1.6k
- Ecology 1.3k
- Plant Science 1.3k
- Immunology 827
Countries citing papers authored by Thomas E. Miller
This map shows the geographic impact of Thomas E. Miller'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 Thomas E. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Miller more than expected).
Fields of papers citing papers by Thomas E. Miller
This network shows the impact of papers produced by Thomas E. Miller. 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 Thomas E. Miller. The network helps show where Thomas E. Miller may publish in the future.
Co-authorship network of co-authors of Thomas E. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. Miller. A scholar is included among the top collaborators of Thomas E. Miller 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 Thomas E. Miller. Thomas E. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 12 | |
| 5 | When can competition for resources lead to ecological equivalence | 25 |
| 6 | Results OF THE USE OF A MODEL THAT Predicts Individual Student Attrition | 0 |
| 7 | Analysis of Variables: Predicting Sophomore Persistence Using Logistic Regression Analysis at the University of South Florida. | 4 |
| 8 | Analysis of Variables to Predict First Year Persistence Using Logistic Regression Analysis at the University of South Florida: Model v2.0. | 3 |
| 9 | Using a Model that Predicts Individual Student Attrition to Intervene with Those Who are Most at Risk | 6 |
| 10 | Analysis of Variables to Predict First-Year Persistence at the University of South Florida Using Logistic Regression Analysis | 3 |
| 11 | Will They Stay or Will They Go? Predicting the Risk of Attrition at a Large Public University | 13 |
| 12 | Local adaptation within a population of Hydrocotyle bonariensis | 38 |
| 13 | A Student-Tracking and Near-Future Student Enrollment-Forecasting Model. | 1 |
| 14 | The Impact of Facilities on Community: An Application to Greek Housing. | 2 |
| 15 | 4 | |
| 16 | 4 | |
| 17 | Peripheral blood leukocyte count as an index of defense status in the leukopenic host. | 7 |
| 18 | 117 | |
| 19 | The Media Management Grid - A Tool for Introspection. | 1 |
| 20 | 105 |
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.