Garry D.A. Phillips

1.7k total citations
67 papers, 1.0k citations indexed

About

Garry D.A. Phillips is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Economics and Econometrics. According to data from OpenAlex, Garry D.A. Phillips has authored 67 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 21 papers in General Economics, Econometrics and Finance and 11 papers in Economics and Econometrics. Recurrent topics in Garry D.A. Phillips's work include Statistical Methods and Inference (26 papers), Monetary Policy and Economic Impact (21 papers) and Advanced Statistical Methods and Models (19 papers). Garry D.A. Phillips is often cited by papers focused on Statistical Methods and Inference (26 papers), Monetary Policy and Economic Impact (21 papers) and Advanced Statistical Methods and Models (19 papers). Garry D.A. Phillips collaborates with scholars based in United Kingdom, Netherlands and Australia. Garry D.A. Phillips's co-authors include Andrew Harvey, Jan F. Kiviet, G. H. F. Gardner, Emma M. Iglesias, Chris Hale, John Gilligan, Brendan McCabe, Hugh Grantham, Bernhard Schipp and Kaddour Hadri and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Biometrika.

In The Last Decade

Garry D.A. Phillips

62 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Garry D.A. Phillips United Kingdom 16 337 302 295 188 143 67 1.0k
Lon‐Mu Liu United States 17 426 1.3× 266 0.9× 308 1.0× 269 1.4× 341 2.4× 33 1.5k
Thomas S. Shively United States 17 222 0.7× 46 0.2× 264 0.9× 110 0.6× 97 0.7× 34 736
Vı́ctor M. Guerrero Mexico 14 149 0.4× 113 0.4× 167 0.6× 52 0.3× 193 1.3× 69 654
Robert M. de Jong United States 17 478 1.4× 398 1.3× 292 1.0× 472 2.5× 108 0.8× 37 964
Agustı́n Maravall Spain 21 679 2.0× 552 1.8× 177 0.6× 368 2.0× 240 1.7× 76 1.3k
Joshua C. C. Chan Australia 23 1.1k 3.3× 1.0k 3.3× 224 0.8× 731 3.9× 259 1.8× 76 1.8k
Jens‐Peter Kreiß Germany 15 240 0.7× 200 0.7× 526 1.8× 469 2.5× 78 0.5× 46 969
Hélio S. Migon Brazil 15 180 0.5× 57 0.2× 517 1.8× 157 0.8× 195 1.4× 62 1.1k
J. Segura Spain 15 106 0.3× 37 0.1× 154 0.5× 80 0.4× 447 3.1× 58 758
Brian C. Monsell United States 7 207 0.6× 179 0.6× 56 0.2× 117 0.6× 181 1.3× 14 595

Countries citing papers authored by Garry D.A. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Garry D.A. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garry D.A. Phillips. 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 Garry D.A. Phillips. The network helps show where Garry D.A. Phillips may publish in the future.

Co-authorship network of co-authors of Garry D.A. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Garry D.A. Phillips. A scholar is included among the top collaborators of Garry D.A. Phillips 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 Garry D.A. Phillips. Garry D.A. Phillips 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.
Phillips, Garry D.A., et al.. (2012). Bootstrap, Jackknife and COLS: Bias and Mean Squared Error in Estimation of Autoregressive Models. 4(2). 5 indexed citations
2.
Iglesias, Emma M. & Garry D.A. Phillips. (2012). Almost Unbiased Estimation in Simultaneous Equation Models With Strong and/or Weak Instruments. Journal of Business and Economic Statistics. 30(4). 505–520. 5 indexed citations
3.
Kiviet, Jan F. & Garry D.A. Phillips. (2010). Higher-order asymptotic expansions of the least-squares estimation bias in first-order dynamic regression models. Computational Statistics & Data Analysis. 56(11). 3705–3729. 11 indexed citations
4.
Iglesias, Emma M. & Garry D.A. Phillips. (2008). Finite Sample Theory of QMLE in ARCH Models with Dynamics in the Mean Equation. Journal of Time Series Analysis. 29(4). 719–737. 9 indexed citations
5.
Thompson, W. R., Garry D.A. Phillips, & Michael J. Cousins. (2007). Anaesthesia underpins acute patient care in hospitals. Australian Health Review. 31(5). 116–121. 1 indexed citations
6.
Kiviet, Jan F. & Garry D.A. Phillips. (2005). Moment approximation for least‐squares estimators in dynamic regression models with a unit root. Econometrics Journal. 8(2). 115–142. 10 indexed citations
7.
Kiviet, Jan F. & Garry D.A. Phillips. (2001). Moment Approximation for Least Squares Estimators in Dynamic Regression Models with a Unit Root. SSRN Electronic Journal. 1 indexed citations
8.
Kiviet, Jan F. & Garry D.A. Phillips. (2000). The bias of the 2SLS variance estimator. Economics Letters. 66(1). 7–15. 3 indexed citations
9.
Kiviet, Jan F. & Garry D.A. Phillips. (1998). Degrees of freedom adjustment for disturbance variance estimators in dynamic regression models. Econometrics Journal. 1(2). 44–70. 6 indexed citations
10.
Kiviet, Jan F. & Garry D.A. Phillips. (1996). The bias of the ordinary least squares estimator in simultaneous equation models. Economics Letters. 53(2). 161–167. 7 indexed citations
11.
Grantham, Hugh, Garry D.A. Phillips, & John Gilligan. (1995). In Reply. Emergency Medicine. 7(1). 57–57. 2 indexed citations
12.
Grantham, Hugh, Garry D.A. Phillips, & John Gilligan. (1994). The laryngeal mask in pre‐hospital emergency care. Emergency Medicine. 6(3). 193–197. 28 indexed citations
13.
Kiviet, Jan F. & Garry D.A. Phillips. (1992). EXACT SIMILAR TESTS FOR UNIT ROOTS AND COINTEGRATION. Oxford Bulletin of Economics and Statistics. 54(3). 349–367. 36 indexed citations
14.
Phillips, Garry D.A., W. B. Runciman, & A. H. Ilsley. (1989). Monitoring in emergency medicine. Resuscitation. 18. S21–S35. 6 indexed citations
15.
Phillips, Garry D.A., et al.. (1987). The Characteristics of Railway Passenger Demand: An Econometric Investigation. Journal of transport economics and policy. 21(3). 231–253. 52 indexed citations
16.
Phillips, Garry D.A., et al.. (1982). Parenteral Nutrition. Drugs. 23(4). 276–323. 7 indexed citations
17.
Gilligan, John, et al.. (1977). RETRIEVAL OF THE CRITICALLY ILL IN SOUTH AUSTRALIA: A COORDINATED APPROACH. The Medical Journal of Australia. 2(26). 849–855. 22 indexed citations
18.
Phillips, Garry D.A. & Andrew Harvey. (1974). A Simple Test for Serial Correlation in Regression Analysis. Journal of the American Statistical Association. 69(348). 935–939. 48 indexed citations
19.
Phillips, Garry D.A. & Andrew Harvey. (1974). A Simple Test for Serial Correlation in Regression Analysis. Journal of the American Statistical Association. 69(348). 935–935. 17 indexed citations
20.
Phillips, Garry D.A., et al.. (1972). Selected Readings in Econometrics from Econometrica.. Journal of the Royal Statistical Society Series D (The Statistician). 21(3). 224–224. 1 indexed citations

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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