Andrew Chesher

65 papers receiving 2.0k citations

Peers

Andrew Chesher
Comparison fields: 5 of 125
  • Economics and Econometrics 1.1k
  • Statistics and Probability 798
  • General Economics, Econometrics and Finance 380
  • Sociology and Political Science 233
  • Finance 230
Replace Dale J. Poirier with:
Dale J. Poirier Canada
R. Carter Hill United States
Moshe Buchinsky United States
Adonis Yatchew Canada
Jason Abrevaya United States
Iván Fernández‐Val United States
Azeem M. Shaikh United States
Phoebus J. Dhrymes United States
Michael C. Lovell United States
R. L. Basmann United States
Andrew Chesher relative to Dale J. Poirier Canada Dale J. Poirier's profile →
Citations per field
00.5×1.6×
Dale J. Poirier · 1×
Citations per year

Countries citing papers authored by Andrew Chesher

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Chesher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Chesher

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Chesher. A scholar is included among the top collaborators of Andrew Chesher 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 Andrew Chesher. Andrew Chesher 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 11
2 1
3 10
4
Review of the Statistical Properties of Linked Datasets
2
5 2
6 3
7 8
8 12
9 9
10 7
11
Approximations to the Distributions of Heterogeneity Tests in the Censored Normal Linear Regression Model
2
12 14
13
ON PREDICTING PAVEMENT SURFACE DISTRESS WITH EMPIRICAL MODELS OF FAILURE TIMES
23
14
Residuals Tests and Plots with a Job Matching Application
1
15 14
16 144
17
Vehicle Depreciation and Interest Costs: Some Evidence from Brazil
2
18
Analysis of the distribution of wealth in Ireland
2
19 4
20 1

About Andrew Chesher

Andrew Chesher is a scholar working on Statistics and Probability, Economics and Econometrics and Gender Studies, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (13 papers) and Statistical Methods and Bayesian Inference (11 papers). The work is most often cited by research in Statistics and Probability (798 citations), General Economics, Econometrics and Finance (380 citations) and Economics and Econometrics (1.1k citations). Andrew Chesher has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Tony Lancaster, Margaret Irish, Ian Jewitt, Adam Rosen, Richard H. Spady, João Santos Silva, Lung‐fei Lee, Christian Schlüter, Gerard Austin and Andrew Hall. Their work appears in journals such as Journal of the American Statistical Association, American Economic Review and American Journal of Clinical Nutrition.

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

Rankless by CCL
2026