Ted Westling

1.0k total citations
15 papers, 104 citations indexed

About

Ted Westling is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Ted Westling has authored 15 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 2 papers in Statistical and Nonlinear Physics and 2 papers in Artificial Intelligence. Recurrent topics in Ted Westling's work include Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Causal Inference Techniques (5 papers). Ted Westling is often cited by papers focused on Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Causal Inference Techniques (5 papers). Ted Westling collaborates with scholars based in United States, Ireland and Zambia. Ted Westling's co-authors include Laura B. Balzer, Tyler H. McCormick, Marco Carone, Bailey K. Fosdick, Thomas Brendan Murphy, Adam J. Esbenshade, L. Joseph Wheat, Lillian Sung, Susan Coffin and Lawrence Mwananyanda and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Epidemiology and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Ted Westling

13 papers receiving 101 citations

Peers

Ted Westling
Comparison fields: 5 of 65
  • Statistics and Probability 41
  • Artificial Intelligence 17
  • Infectious Diseases 15
  • Oncology 15
  • Epidemiology 14
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Kamran Mehrabani-Zeinabad Iran View profile →
Citations per field, relative to Ted Westling
Ted Westling · 1×
Citations per year, relative to Ted Westling
Ted Westling · 1×

Countries citing papers authored by Ted Westling

Since Specialization
Citations

This map shows the geographic impact of Ted Westling'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 Ted Westling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Westling more than expected).

Fields of papers citing papers by Ted Westling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ted Westling. 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 Ted Westling. The network helps show where Ted Westling may publish in the future.

Co-authorship network of co-authors of Ted Westling

This figure shows the co-authorship network connecting the top 25 collaborators of Ted Westling. A scholar is included among the top collaborators of Ted Westling 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 Ted Westling. Ted Westling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 5
3 4
4 1
5 6
6 24
7 4
8 3
9 16
10 9
11 12
12 0
13 10
14 9
15
Consistency, Calibration, and Efficiency of Variational Inference
1

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.

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