John Aldrich

1.9k citations
41 papers · 1.0k · h-index 15

Impact in

Papers in

John Aldrich

38 papers receiving 882 citations

Peers

John Aldrich
Comparison fields: 5 of 174
  • Statistics and Probability 178
  • History and Philosophy of Science 90
  • General Economics, Econometrics and Finance 153
  • Economics and Econometrics 259
  • Statistics, Probability and Uncertainty 59
Replace R. W. Farebrother with:
R. W. Farebrother United Kingdom
Aris Spanos United States
Julio Michael Stern Brazil
James Franklin Australia
Glen Meeden United States
Dennis D. Wackerly United States
Kong Chu United States
Frank Lad New Zealand
David R. Bellhouse Canada
J. Pfanzagl Germany
John Aldrich relative to R. W. Farebrother United Kingdom R. W. Farebrother's profile →
Citations per field
00.5×1.5×2.5×
R. W. Farebrother · 1×
Citations per year

Countries citing papers authored by John Aldrich

Since Specialization
Citations

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

Fields of papers citing papers by John Aldrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside John Aldrich, 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 Aldrich Line = papers co-authored together John Aldrich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997343
2 1995258
3 198964
4 199840
5 199439
6 198836
7 200535
8 200424
9 201019
10 200218
11 200018
12 200818
13 198717
14 200816
15 199215
16 199410
17 199610
18 20039
19 20066
20 20135

About John Aldrich

John Aldrich is a scholar working on Economics and Econometrics, Statistics and Probability, History and Philosophy of Science, General Economics, Econometrics and Finance and Artificial Intelligence, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Economic Theory and Institutions (12 papers), Philosophy and History of Science (10 papers), Probability and Statistical Research (8 papers), Economic Theory and Policy (7 papers), Statistics Education and Methodologies (5 papers), Political Economy and Marxism (4 papers), Census and Population Estimation (3 papers) and Statistical and numerical algorithms (3 papers). The work is most often cited by research in Statistics and Probability (178 citations), History and Philosophy of Science (90 citations), General Economics, Econometrics and Finance (153 citations), Economics and Econometrics (259 citations) and Statistics, Probability and Uncertainty (59 citations). John Aldrich has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Robert Loring Allen, Warren Young, A. P. Dawid, Prakash P. Shenoy, Vladimir Vovk, Thierry Denœux and Anna Staszewska‐Bystrova. Their work appears in journals such as International Statistical Review, History of Political Economy, International Journal of Approximate Reasoning, Statistical Science and Journal of the History of Economic Thought.

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.

Explore authors with similar magnitude of impact