Ted Chang

1.0k citations
32 papers · 673 · h-index 13

Impact in

    • Statistical Methods and Bayesian Inference
    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
  • Geophysics top 10%
    • earthquake and tectonic studies
    • Geological and Geochemical Analysis
    • High-pressure geophysics and materials

Papers in

Ted Chang

31 papers receiving 596 citations

Peers

Ted Chang
Comparison fields: 5 of 95
  • Statistics and Probability 265
  • Geophysics 133
  • Statistics, Probability and Uncertainty 47
  • Environmental Engineering 92
  • Geometry and Topology 52
Replace P. J. Green with:
P. J. Green United Kingdom
Anne Randi Syversveen Norway
Orietta Nicolis Chile
Toby Lewis United Kingdom
Ronald E. Glaser United States
Thierry Klein France
Michael W. Davis United States
José E. Chacón Spain
B. V. Rao India
Mahsa Mirzargar United States
Ted Chang relative to P. J. Green United Kingdom P. J. Green's profile →
Citations per field
00.5×7.8×
P. J. Green · 1×
Citations per year

Countries citing papers authored by Ted Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ted Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Ted Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ted Chang Line = papers co-authored together Ted Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001118
2 198875
3 200871
4 201067
5 199059
6 198657
7 198930
8 200120
9 199718
10 199017
11 199317
12 199216
13 199316
14 198811
15 200611
16 199510
17 19977
18 19927
19
The Use of the Bingham Distribution in Spherical Regression Inference
19886
20 19966

About Ted Chang

Ted Chang is a scholar working on Statistics and Probability, Artificial Intelligence, Environmental Engineering, Applied Mathematics and Sociology and Political Science, having authored 32 papers that have together received 673 indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (7 papers), Statistical Methods and Bayesian Inference (5 papers), Advanced Statistical Methods and Models (5 papers), Statistical and numerical algorithms (5 papers), Sensory Analysis and Statistical Methods (4 papers), Bayesian Methods and Mixture Models (4 papers), Geochemistry and Geologic Mapping (3 papers) and Survey Methodology and Nonresponse (3 papers). The work is most often cited by research in Statistics and Probability (265 citations), Geophysics (133 citations), Statistics, Probability and Uncertainty (47 citations), Environmental Engineering (92 citations) and Geometry and Topology (52 citations). Ted Chang has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Phillip S. Kott, Daijin Ko, Péter Molnár, Joann M. Stock, Louis‐Paul Rivest, C. Raymond Bingham, Donald Richards, Shyamal D. Peddada, Sharon L. Lohr and C. G. McLaren. Their work appears in journals such as Journal of the American Statistical Association, Journal of Multivariate Analysis, The Annals of Statistics, Annals of the Institute of Statistical Mathematics and The American Statistician.

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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