Thomas J. Rothenberg

13.1k citations
21 papers · 5.6k indexed · 2 hit papers · h-index 12

Thomas J. Rothenberg

21 papers receiving 5.2k citations

Hit Papers

Efficient Tests for an Autoregressive Unit Root19712026198920071996197110002.0k3.0k4.0k

Peers

Thomas J. Rothenberg
Comparison fields: 5 of 156
  • Economics and Econometrics 3.9k
  • General Economics, Econometrics and Finance 2.8k
  • Finance 1.4k
  • Renewable Energy, Sustainability and the Environment 724
  • Statistics and Probability 585
Replace Anil K. Bera with:
Anil K. Bera United States
Graham Elliott United States
James B. Ramsey United States
P. C. B. Phillips United States
Werner Ploberger United States
L. G. Godfrey United Kingdom
Eric Zivot United States
Roberto S. Mariano United States
Pentti Saikkonen Finland
Aman Ullah United States
Thomas J. Rothenberg relative to Anil K. Bera United States Anil K. Bera's profile →
Citations per field
00.5×1.5×2.3×
Anil K. Bera · 1×
Citations per year

Countries citing papers authored by Thomas J. Rothenberg

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Rothenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Rothenberg. 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 Thomas J. Rothenberg. The network helps show where Thomas J. Rothenberg may publish in the future.

Co-authorship network of co-authors of Thomas J. Rothenberg

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3 47
4
Efficient Tests for an Autoregressive Unit Rootbreakdown →
4358
5 5
6 36
7 1
8 60
9 62
10 7
11 7
12 30
13 6
14 138
15
Identification in Parametric Modelsbreakdown →
643
16 1
17 29
18 90
19 57
20 9

About Thomas J. Rothenberg

Thomas J. Rothenberg is a scholar working on Statistics and Probability, General Energy and General Economics, Econometrics and Finance, having authored 21 papers that have together received 5.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Advanced Statistical Methods and Models (5 papers) and Monetary Policy and Economic Impact (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (2.8k citations), Finance (1.4k citations) and Economics and Econometrics (3.9k citations). Thomas J. Rothenberg has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James H. Stock, Graham Elliott, Franklin M. Fisher, Theodore Groves, Kenneth R. Smith, Richard Sutch, David A. Freedman, David L. Freedman, Paul A. Ruud and Jean‐François Richard. Their work appears in journals such as Journal of the American Statistical Association, The Quarterly Journal of Economics and Econometrica.

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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