David E. A. Giles

5.0k total citations
141 papers, 3.1k citations indexed

About

David E. A. Giles is a scholar working on Economics and Econometrics, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, David E. A. Giles has authored 141 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Economics and Econometrics, 52 papers in Statistics and Probability and 26 papers in General Economics, Econometrics and Finance. Recurrent topics in David E. A. Giles's work include Advanced Statistical Methods and Models (37 papers), Statistical Methods and Inference (26 papers) and Monetary Policy and Economic Impact (24 papers). David E. A. Giles is often cited by papers focused on Advanced Statistical Methods and Models (37 papers), Statistical Methods and Inference (26 papers) and Monetary Policy and Economic Impact (24 papers). David E. A. Giles collaborates with scholars based in Canada, New Zealand and Australia. David E. A. Giles's co-authors include V. K. Srivastava, Yanan Li, Lindsay M. Tedds, Dale J. Poirier, Judith A. Giles, Maxwell L. King, Hui Feng, E. C. Snelling, Jacob T. Schwartz and Judith A. Clarke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Econometrica.

In The Last Decade

David E. A. Giles

134 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David E. A. Giles Canada 29 1.7k 762 524 510 508 141 3.1k
Dale J. Poirier Canada 25 1.3k 0.7× 487 0.6× 567 1.1× 239 0.5× 365 0.7× 86 2.6k
Moshe Buchinsky United States 17 2.0k 1.2× 577 0.8× 434 0.8× 396 0.8× 415 0.8× 35 3.5k
Tony Lancaster United States 20 3.1k 1.8× 977 1.3× 761 1.5× 451 0.9× 642 1.3× 47 5.4k
Stephen G. Donald United States 24 1.9k 1.1× 762 1.0× 730 1.4× 493 1.0× 642 1.3× 46 4.0k
James B. McDonald United States 27 1.2k 0.7× 921 1.2× 418 0.8× 247 0.5× 857 1.7× 96 3.0k
Frank Kleibergen Netherlands 20 2.0k 1.1× 589 0.8× 1.3k 2.5× 520 1.0× 901 1.8× 49 3.8k
Andrew Chesher United Kingdom 24 1.1k 0.6× 798 1.0× 380 0.7× 160 0.3× 230 0.5× 67 2.2k
Thomas M. Stoker United States 23 1.8k 1.0× 1.3k 1.7× 462 0.9× 101 0.2× 337 0.7× 47 3.5k
L. G. Godfrey United Kingdom 25 2.4k 1.4× 690 0.9× 1.7k 3.2× 236 0.5× 1.1k 2.1× 68 4.4k

Countries citing papers authored by David E. A. Giles

Since Specialization
Citations

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

Fields of papers citing papers by David E. A. Giles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David E. A. Giles

This figure shows the co-authorship network connecting the top 25 collaborators of David E. A. Giles. A scholar is included among the top collaborators of David E. A. Giles 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 E. A. Giles. David E. A. Giles 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
1.
Bush, Tony, Viviane Robinson, James P. Spillane, et al.. (2016). Liderazgo educativo en la escuela : nueve miradas. MINISTERIO DE EDUCACIÓN. 27 indexed citations
2.
Giles, David E. A., et al.. (2015). Bias-corrected maximum likelihood estimation of the parameters of the generalized Pareto distribution. Communication in Statistics- Theory and Methods. 45(8). 2465–2483. 29 indexed citations
3.
Giles, David E. A. & Hui Feng. (2011). Reducing the bias of the maximum likelihood estimator for the Poisson regression model. Economics bulletin. 31(4). 2933–2943. 2 indexed citations
4.
Giles, David E. A., et al.. (2010). Extreme value analysis of daily Canadian crude oil prices. Applied Financial Economics. 20(12). 941–954. 27 indexed citations
5.
Giles, David E. A.. (2010). Hermite Regression Analysis of Multi-Modal Count Data. Economics bulletin. 30(4). 2936–2945. 8 indexed citations
6.
Chen, Qian & David E. A. Giles. (2008). General Saddlepoint Approximations: Application to the Anderson-Darling Test Statistic. Communications in Statistics - Simulation and Computation. 37(4). 789–804. 8 indexed citations
7.
Giles, David E. A.. (2007). Benford's law and naturally occurring prices in certain ebaY auctions. Applied Economics Letters. 14(3). 157–161. 71 indexed citations
8.
Taylor, R. Garth & David E. A. Giles. (2003). Capturing Non-Linearity in the Term Structure of Interest Rates: A Fuzzy Logic Method of Estimating the Yield Curve. 1 indexed citations
9.
Giles, David E. A. & Lindsay M. Tedds. (2002). Taxes and the Canadian underground economy. 128 indexed citations
10.
Giles, David E. A.. (2001). A SADDLEPOINT APPROXIMATION TO THE DISTRIBUTION FUNCTION OF THE ANDERSON-DARLING TEST STATISTIC. Communications in Statistics - Simulation and Computation. 30(4). 899–905. 20 indexed citations
11.
Giles, David E. A.. (2000). Modeling the Hidden Economy and the Tax-gap in New Zealand. SSRN Electronic Journal. 34 indexed citations
12.
Giles, David E. A.. (1997). The hidden economy and tax-evasion prosecutions in New Zealand. Applied Economics Letters. 4(5). 281–285. 9 indexed citations
13.
Giles, Judith A., David E. A. Giles, & Kazuhiro Ohtani. (1996). The exact risks of some pre-test and stein-type regression estimators umder balanced loss. Communication in Statistics- Theory and Methods. 25(12). 2901–2924. 21 indexed citations
14.
Giles, David E. A. & Offer Lieberman. (1993). Bounds on the effect of heteroscedasticity on the chow test for structural change. Communication in Statistics- Theory and Methods. 22(3). 687–703. 1 indexed citations
15.
Giles, Judith A., et al.. (1992). Estimation of the Regression Scale After a Pre-Test for Homoscedasticity Under Linex Loss. AgEcon Search (University of Minnesota, USA). 8 indexed citations
16.
Srivastava, V. K. & David E. A. Giles. (1991). Unbiased estimation of the mean squared error of the feasible generalised ridge regression estimator. Communication in Statistics- Theory and Methods. 20(8). 2375–2386. 8 indexed citations
17.
Giles, David E. A., et al.. (1985). An Engel Curve Analysis of Household Expenditure in New Zealand*. Economic Record. 61(1). 450–462. 29 indexed citations
18.
Blair, Alan, et al.. (1982). Design of a New Test Generation System for Performance Testing of LSI Digital Printed Circuit Boards.. International Test Conference. 541–547. 2 indexed citations
19.
Giles, David E. A.. (1975). Bayesian applications in econometrics. International Journal of Environmental Research and Public Health. 20(2). 1 indexed citations
20.

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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