Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Testing for nonlinearity in time series: the method of surrogate data
19922.9k citationsJames Theiler, Stephen Eubank et al.profile →
Spurious dimension from correlation algorithms applied to limited time-series data
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).
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.
Shen, Xiaoying, Haili Tang, Charlene McDanal, et al.. (2021). SARS-CoV-2 variant B.1.1.7 is susceptible to neutralizing antibodies elicited by ancestral spike vaccines. Cell Host & Microbe. 29(4). 529–539.e3.222 indexed citations breakdown →
4.
Love, Steven P., James Theiler, Bernard R. Foy, et al.. (2018). High-Resolution Hyperspectral Imaging of Dilute Gases from CubeSat Platforms. AGU Fall Meeting Abstracts. 2018.3 indexed citations
5.
Lookman, Turab, et al.. (2016). Learning targeted materials properties from data. Bulletin of the American Physical Society. 2016.1 indexed citations
Perkins, Simon, et al.. (2003). Grafting: fast, incremental feature selection by gradient descent in function space. Journal of Machine Learning Research. 3. 1333–1356.196 indexed citations
12.
Perkins, Simon & James Theiler. (2003). Online feature selection using grafting. International Conference on Machine Learning. 592–599.138 indexed citations
Leeser, Miriam & James Theiler. (2000). EFFECT OF DATA TRUNCATION IN AN IMPLEMENTATION OF PIXEL CLUSTERING ON A CUSTOM COMPUTING MACHINE. University of North Texas Digital Library (University of North Texas).2 indexed citations
17.
Borel, Christoph C., William B. Clodius, Anthony B. Davis, et al.. (1999). MTI core science retrieval algorithms.4 indexed citations
Theiler, James, B. Galdrikian, André Longtin, Stephen Eubank, & J. Doyne Farmer. (1991). Using Surrogate Data to Detect Nonlinearity in Time Series. Physica A Statistical Mechanics and its Applications. 58. 77–94.121 indexed citations
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.