James Theiler
About
In The Last Decade
James Theiler
211 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Statistical and Nonlinear Physics 2.5k
- Economics and Econometrics 2.3k
- Cognitive Neuroscience 2.3k
- Artificial Intelligence 1.8k
- Molecular Biology 1.5k
Countries citing papers authored by James Theiler
This map shows the geographic impact of James Theiler'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 James Theiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Theiler more than expected).
Fields of papers citing papers by James Theiler
This network shows the impact of papers produced by James Theiler. 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 James Theiler. The network helps show where James Theiler may publish in the future.
Co-authorship network of co-authors of James Theiler
This figure shows the co-authorship network connecting the top 25 collaborators of James Theiler. A scholar is included among the top collaborators of James Theiler 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 James Theiler. James Theiler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | SARS-CoV-2 variant B.1.1.7 is susceptible to neutralizing antibodies elicited by ancestral spike vaccines breakdown → | 222 |
| 6 | 6 | |
| 7 | High-Resolution Hyperspectral Imaging of Dilute Gases from CubeSat Platforms | 3 |
| 8 | Learning targeted materials properties from data | 1 |
| 9 | 63 | |
| 10 | 19 | |
| 11 | 16 | |
| 12 | 13 | |
| 13 | Online feature selection using grafting | 138 |
| 14 | Grafting: fast, incremental feature selection by gradient descent in function space | 196 |
| 15 | 25 | |
| 16 | Classification of ROTSE Variable Stars using Machine Learning | 1 |
| 17 | 11 | |
| 18 | EFFECT OF DATA TRUNCATION IN AN IMPLEMENTATION OF PIXEL CLUSTERING ON A CUSTOM COMPUTING MACHINE | 2 |
| 19 | MTI core science retrieval algorithms | 4 |
| 20 | Using Surrogate Data to Detect Nonlinearity in Time Series | 121 |
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.