Ted Chang

29 papers and 641 indexed citations i.

About

Ted Chang is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Ted Chang has authored 29 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 7 papers in Environmental Engineering. Recurrent topics in Ted Chang’s work include Soil Geostatistics and Mapping (7 papers), Advanced Statistical Methods and Models (5 papers) and Statistical and numerical algorithms (5 papers). Ted Chang is often cited by papers focused on Soil Geostatistics and Mapping (7 papers), Advanced Statistical Methods and Models (5 papers) and Statistical and numerical algorithms (5 papers). Ted Chang collaborates with scholars based in United States, Canada and Taiwan. Ted Chang's co-authors include Phillip S. Kott, Daijin Ko, Péter Molnár, Joann M. Stock, Louis‐Paul Rivest, Donald Richards, C. Raymond Bingham, Shyamal D. Peddada, C. G. McLaren and Sharon L. Lohr and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Ted Chang i

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.

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).

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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