R. Deane Terrell

812 total citations
41 papers, 423 citations indexed

About

R. Deane Terrell is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, R. Deane Terrell has authored 41 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in General Economics, Econometrics and Finance, 16 papers in Economics and Econometrics and 12 papers in Management Science and Operations Research. Recurrent topics in R. Deane Terrell's work include Monetary Policy and Economic Impact (16 papers), Market Dynamics and Volatility (7 papers) and Forecasting Techniques and Applications (7 papers). R. Deane Terrell is often cited by papers focused on Monetary Policy and Economic Impact (16 papers), Market Dynamics and Volatility (7 papers) and Forecasting Techniques and Applications (7 papers). R. Deane Terrell collaborates with scholars based in Australia, United States and Singapore. R. Deane Terrell's co-authors include Jack H.W. Penm, E. J. Hannan, Wing‐Keung Wong, A. R. Pagan, D. F. Nicholls, Tim Brailsford, Soushan Wu, Andrew H. Chen, Terence J. O’Neill and Jason C.H. Chen and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and IEEE Transactions on Automatic Control.

In The Last Decade

R. Deane Terrell

35 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Deane Terrell Australia	11	193	166	147	94	84	41	423
Sergio G. Koreisha United States	13	167 0.9×	194 1.2×	228 1.6×	181 1.9×	98 1.2×	33	481
Victoria Zinde‐Walsh Canada	12	154 0.8×	150 0.9×	105 0.7×	218 2.3×	46 0.5×	37	421
Rolf Tschernig Germany	9	149 0.8×	134 0.8×	98 0.7×	76 0.8×	47 0.6×	18	333
Alessio Sancetta United Kingdom	10	119 0.6×	224 1.3×	73 0.5×	124 1.3×	55 0.7×	31	373
Carsten Jentsch Germany	11	220 1.1×	137 0.8×	140 1.0×	150 1.6×	36 0.4×	48	458
Giorgio Calzolari Italy	13	299 1.5×	350 2.1×	248 1.7×	161 1.7×	62 0.7×	52	565
Abderrahim Taamouti United Kingdom	13	256 1.3×	298 1.8×	115 0.8×	104 1.1×	32 0.4×	44	492
Anders Rygh Swensen Norway	10	187 1.0×	168 1.0×	193 1.3×	118 1.3×	28 0.3×	32	357
Jack H.W. Penm Australia	10	183 0.9×	191 1.2×	116 0.8×	35 0.4×	48 0.6×	39	329
Gael M. Martin Australia	12	231 1.2×	285 1.7×	203 1.4×	131 1.4×	96 1.1×	37	517

Countries citing papers authored by R. Deane Terrell

Since Specialization

Citations

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

Fields of papers citing papers by R. Deane Terrell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Deane Terrell. 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 R. Deane Terrell. The network helps show where R. Deane Terrell may publish in the future.

Co-authorship network of co-authors of R. Deane Terrell

This figure shows the co-authorship network connecting the top 25 collaborators of R. Deane Terrell. A scholar is included among the top collaborators of R. Deane Terrell 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 R. Deane Terrell. R. Deane Terrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Brailsford, Tim, Jack H.W. Penm, & R. Deane Terrell. (2015). The Equivalence of Causality Detection in VAR and VECM Modeling with Applications to Exchange Rates. Queensland's institutional digital repository (The University of Queensland).

Brailsford, Timothy J., et al.. (2004). The sequential fitting of subset auto regressions with a forgetting factor. Queensland's institutional digital repository (The University of Queensland). 9(1). 29–57. 1 indexed citations

Terrell, R. Deane, et al.. (2003). Causality and Cointegration Tests in the Framework of a Single Zero-Non Zero Patterned Vector Time Series Modeling. Journal of Applied Sciences. 3(4). 247–255. 8 indexed citations

Brailsford, Tim, Jack H.W. Penm, & R. Deane Terrell. (2002). The Price Elasticity of the Euro to Movements in Foreign Reserves through European Central Bank Intervention. SSRN Electronic Journal.

Brailsford, Tim, Jack H.W. Penm, & R. Deane Terrell. (2001). The Adjustment of the Yule-Walker Relations in VAR Modeling: The Impact of the Euro on the Hong Kong Stock Market. Multinational Finance Journal. 5(1). 35–58. 4 indexed citations

Penm, Jack H.W., Tim Brailsford, & R. Deane Terrell. (2000). The Adjustment of the Yule-Walker Relations in VAR Modelling: The Impact of the Euro on the Hong Kong Stock Market. ANU Open Research (Australian National University). 5(1). 35–58. 3 indexed citations

Penm, Jack H.W., Tim Brailsford, & R. Deane Terrell. (2000). A Robust Algorithm in Sequentially Selecting Subset Time Series Systems Using Neural Networks. Journal of Time Series Analysis. 21(4). 389–412. 6 indexed citations

Terrell, R. Deane, et al.. (1997). The selection of zero-non-zero patterned cointegrating vectors in error-correction modelling. Econometric Reviews. 16(3). 281–314. 11 indexed citations

Terrell, R. Deane, et al.. (1997). PROJECTION MODULUS: A NEW DIRECTION FOR SELECTING SUBSET AUTOREGRESSIVE MODELS. Journal of Time Series Analysis. 18(2). 195–212. 4 indexed citations

10.

Terrell, R. Deane, et al.. (1994). Is Housing Activity a Leading Indicator?*. Economic Record. 70(210). 241–252. 1 indexed citations

11.

Penm, Jack H.W., et al.. (1992). Using the Bootstrap as an Aid in Choosing the Approximate Representation for Vector Time Series. Journal of Business and Economic Statistics. 10(2). 213–219. 9 indexed citations

12.

Penm, Jack H.W. & R. Deane Terrell. (1986). The ‘derived’ moving-average model and its role in causality. Journal of Applied Probability. 23(A). 99–111. 5 indexed citations

13.

Penm, Jack H.W. & R. Deane Terrell. (1986). The ‘derived’ moving-average model and its role in causality. Journal of Applied Probability. 23(A). 99–111. 2 indexed citations

14.

Penm, Jack H.W. & R. Deane Terrell. (1984). Multivariate subset autoregression. Communications in Statistics - Simulation and Computation. 13(4). 449–461. 14 indexed citations

15.

Penm, Jack H.W. & R. Deane Terrell. (1982). ON THE RECURSIVE FITTING OF SUBSET AUTOREGRESSIONS. Journal of Time Series Analysis. 3(1). 43–59. 32 indexed citations

16.

Nicholls, D. F., A. R. Pagan, & R. Deane Terrell. (1975). The Estimation and Use of Models with Moving Average Disturbance Terms: A Survey. International Economic Review. 16(1). 113–113. 44 indexed citations

17.

Hannan, E. J. & R. Deane Terrell. (1973). Multiple Equation Systems with Stationary Errors. Econometrica. 41(2). 299–299. 23 indexed citations

18.

Hannan, E. J. & R. Deane Terrell. (1972). Time Series Regression with Linear Constraints. International Economic Review. 13(2). 189–189. 4 indexed citations

19.

Terrell, R. Deane, et al.. (1971). The Efficiency of Least Squares in Estimating a Stable Seasonal Pattern. Journal of the American Statistical Association. 66(334). 354–362. 3 indexed citations

20.

Hannan, E. J. & R. Deane Terrell. (1968). Testing for Serial Correlation after Least Squares Regression. Econometrica. 36(1). 133–133. 20 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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