John G. Cragg

14.2k citations
28 papers · 11.3k indexed · 3 hit papers · h-index 17

Impact in

Papers in

    • Advanced Statistical Methods and Models 9
    • Statistical Methods and Inference 6
    • Random Matrices and Applications 2
    • Corporate Finance and Governance 3
    • Corporate Taxation and Avoidance 2

John G. Cragg

27 papers receiving 10.5k citations

Hit Papers

Testing Identifiability and Specification in Instrumental Variable Models 1993 · 1.0k citations
1.0k19712026198920072.0k4.0k6.0k

Peers

John G. Cragg
Comparison fields: 5 of 203
  • General Decision Sciences 531
  • Economics and Econometrics 6.1k
  • Marketing 1.4k
  • Transportation 976
  • General Economics, Econometrics and Finance 927
Replace Henri Theil with:
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John G. Cragg relative to Henri Theil United States Henri Theil's profile →
Citations per field
00.5×2.7×
Henri Theil · 1×
Citations per year

Countries citing papers authored by John G. Cragg

Since Specialization
Citations

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

Fields of papers citing papers by John G. Cragg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Cragg. 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 John G. Cragg. The network helps show where John G. Cragg may publish in the future.

Co-authors

The 10 scholars most cited alongside John G. Cragg, 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 John G. Cragg Line = papers co-authored together John G. Cragg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1997173
2 19978
3 199622
4 199653
5 19966
6 199422
7 199210
8 19835
9 1982146
10
Frontiers in Econometrics
Hit paper breakdown →
19757137
11
Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods
Hit paper breakdown →
19711970
12 197143
13 1970169
14 19704
15 19701
16 197077
17 1968125
18 19674
19 196620
20 196610

About John G. Cragg

John G. Cragg is a scholar working on Statistics and Probability, Accounting, Finance, General Economics, Econometrics and Finance and Signal Processing, having authored 28 papers that have together received 11.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Statistical Methods and Inference (6 papers), Corporate Finance and Governance (3 papers), Random Matrices and Applications (2 papers), Corporate Taxation and Avoidance (2 papers), Financial Risk and Volatility Modeling (2 papers), Housing Market and Economics (2 papers) and Taxation and Compliance Studies (2 papers). The work is most often cited by research in General Decision Sciences (531 citations), Economics and Econometrics (6.1k citations), Marketing (1.4k citations), Transportation (976 citations) and General Economics, Econometrics and Finance (927 citations). John G. Cragg has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Paul Zarembka, Stephen G. Donald, Burton G. Malkiel, Russell S. Uhler, Nevins D. Baxter, Arnold C. Harberger, Peter Mieszkowski, Nick Bailey, William Warburton and Alice Nakamura. Their work appears in journals such as Canadian Journal of Economics/Revue canadienne d économique, Journal of the American Statistical Association, Journal of Econometrics, Econometrica and Journal of Political Economy.

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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