David Peel

22.9k total citations · 4 hit papers
469 papers, 15.8k citations indexed

About

David Peel is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, David Peel has authored 469 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 217 papers in Economics and Econometrics, 160 papers in General Economics, Econometrics and Finance and 66 papers in Finance. Recurrent topics in David Peel's work include Monetary Policy and Economic Impact (144 papers), Economic theories and models (80 papers) and Market Dynamics and Volatility (64 papers). David Peel is often cited by papers focused on Monetary Policy and Economic Impact (144 papers), Economic theories and models (80 papers) and Market Dynamics and Volatility (64 papers). David Peel collaborates with scholars based in United Kingdom, Australia and United States. David Peel's co-authors include Geoffrey J. McLachlan, Mark P. Taylor, A. R. Nobay, Jennifer R. Ovenden, Robin S. Waples, G. M. Macbeth, Chi Do, Bree J. Tillett, K. Holden and Lucio Sarno and has published in prestigious journals such as Nature, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

David Peel

435 papers receiving 14.6k citations

Hit Papers

NeEstimator v2: re‐implementation of s... 1997 2026 2006 2016 2013 2001 2000 1997 500 1000 1.5k

Peers

David Peel
Comparison fields: 5 of 223
  • Economics and Econometrics 4.7k
  • General Economics, Econometrics and Finance 3.5k
  • Finance 2.3k
  • Genetics 2.0k
  • Molecular Biology 1.9k
Replace William A. Brock with:
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Alan E. Gelfand United States
M. G. Kendall United Kingdom
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Achim Zeileis Austria
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Chih‐Ling Tsai United States
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William A. Brock United States View profile →
Citations per field, relative to David Peel
David Peel · 1×
Citations per year, relative to David Peel
David Peel · 1×

Countries citing papers authored by David Peel

Since Specialization
Citations

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

Fields of papers citing papers by David Peel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Peel

This figure shows the co-authorship network connecting the top 25 collaborators of David Peel. A scholar is included among the top collaborators of David Peel 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 David Peel. David Peel 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
# Work Indexed citations
1 3
2 9
3 6
4 32
5
Oxygen for children and newborns in non-tertiary hospitals in South-west Nigeria: A needs assessment.
19
6
Spreads versus Professional Forecasters as Predictors of Future Output Change
0
7 5
8 4
9 7
10
Non-Linear Equilibrium Correction in US Real Money Balances, 1869-1997
3
11 9
12 1
13 42
14 10
15 16
16 37
17 38
18 12
19 23
20 31

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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