Ted To

1.6k citations
27 papers · 954 · h-index 12

Impact in

Papers in

    • Merger and Competition Analysis 12
    • Labor market dynamics and wage inequality 10
    • Economic theories and models 7
    • Firm Innovation and Growth 7
    • Consumer Market Behavior and Pricing 6

Ted To

25 papers receiving 857 citations

Peers

Ted To
Comparison fields: 5 of 71
  • Economics and Econometrics 657
  • Public Administration 60
  • Marketing 140
  • General Economics, Econometrics and Finance 106
  • Gender Studies 100
Replace Michael Sattinger with:
Michael Sattinger United States
James N. Brown Italy
Melvyn Coles United Kingdom
Jed DeVaro United States
Nick Zubanov Germany
Tore Nilssen Norway
Alexandra Niessen‐Ruenzi Germany
Marko Terviö Finland
Anders Frederiksen Denmark
Clive Bull United States
Ted To relative to Michael Sattinger United States Michael Sattinger's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ted To

Since Specialization
Citations

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

Fields of papers citing papers by Ted To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ted To, 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 To Line = papers co-authored together Ted To links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002243
2 2002188
3 1999164
4 201787
5 200658
6 200337
7 201437
8 200436
9 199916
10 200115
11 201415
12 200114
13 20017
14 20016
15 20055
16 20035
17 20135
18 20084
19 20143
20 20042

About Ted To

Ted To is a scholar working on Economics and Econometrics, Marketing, Management Science and Operations Research, Sociology and Political Science and Strategy and Management, having authored 27 papers that have together received 954 indexed citations. Recurring topics across this work include Merger and Competition Analysis (12 papers), Labor market dynamics and wage inequality (10 papers), Economic theories and models (7 papers), Firm Innovation and Growth (7 papers), Consumer Market Behavior and Pricing (6 papers), Game Theory and Applications (5 papers), Digital Platforms and Economics (3 papers) and Opinion Dynamics and Social Influence (2 papers). The work is most often cited by research in Economics and Econometrics (657 citations), Public Administration (60 citations), Marketing (140 citations), General Economics, Econometrics and Finance (106 citations) and Gender Studies (100 citations). Ted To has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include V. Bhaskar, Alan Manning, Nick Feltovich, Sujit Chakravorti, Paul Sullivan, Daniel Aaronson, Eric French, Isaac Sorkin, Andrew Burke and Rick Harbaugh. Their work appears in journals such as International Journal of Industrial Organization, European Economic Review, The Journal of Human Resources, The RAND Journal of Economics and International Economic Review.

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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