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A. M. Robert Taylor

A. M. Robert Taylor

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Economics and Finance 36 2829 2565 332 306 183 4820

A. M. Robert Taylor publications per year

The chart shows the history of publications by A. M. Robert Taylor between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. A. M. Robert Taylor published across 34 years, from 1992 to 2025, averaging 6.4 papers a year. Output peaked at 16 publications in 2009. 11 of the 218 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2009. 1992: 1 publication 1993: 1 publication 1994: 1 publication 1995: 1 publication 1996: 1 publication 1997: 5 publications 1998: 2 publications 1999: 7 publications 2000: 2 publications 2001: 4 publications 2002: 3 publications 2003: 7 publications 2004: 11 publications 2005: 6 publications 2006: 9 publications 2007: 10 publications 2008: 6 publications 2009: 16 publications 2010: 5 publications 2011: 6 publications 2012: 9 publications 2013: 9 publications 2014: 10 publications 2015: 6 publications 2016: 11 publications 2017: 8 publications 2018: 9 publications 2019: 6 publications 2020: 7 publications 2021: 12 publications 2022: 4 publications 2023: 12 publications 2024: 4 publications 2025: 7 publications
1992 2025

218 publications in total across all disciplines

View publications per year as a table
A. M. Robert Taylor: publications per year, 1992 to 2025
Year Publications
1992 1
1993 1
1994 1
1995 1
1996 1
1997 5
1998 2
1999 7
2000 2
2001 4
2002 3
2003 7
2004 11
2005 6
2006 9
2007 10
2008 6
2009 16
2010 5
2011 6
2012 9
2013 9
2014 10
2015 6
2016 11
2017 8
2018 9
2019 6
2020 7
2021 12
2022 4
2023 12
2024 4
2025 7
Total 218
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A. M. Robert Taylor publication distribution in Economics and Finance in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Economics and Finance in 2026. The highlighted bar marks where A. M. Robert Taylor sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 97 bars. Horizontal axis: publications, 42–46 to 521+. Vertical axis: number of scientists, 0 to 111. Most scientists, 111, have 137–141 publications. The last bar groups every scientist with 521 publications or more. The highlighted bar, 182–186 publications, is where this scientist sits. 42–46 publications: 1 scientist 47–51 publications: 12 scientists 52–56 publications: 7 scientists 57–61 publications: 23 scientists 62–66 publications: 32 scientists 67–71 publications: 36 scientists 72–76 publications: 56 scientists 77–81 publications: 57 scientists 82–86 publications: 70 scientists 87–91 publications: 86 scientists 92–96 publications: 72 scientists 97–101 publications: 106 scientists 102–106 publications: 97 scientists 107–111 publications: 96 scientists 112–116 publications: 101 scientists 117–121 publications: 103 scientists 122–126 publications: 102 scientists 127–131 publications: 108 scientists 132–136 publications: 107 scientists 137–141 publications: 111 scientists 142–146 publications: 94 scientists 147–151 publications: 96 scientists 152–156 publications: 100 scientists 157–161 publications: 74 scientists 162–166 publications: 68 scientists 167–171 publications: 91 scientists 172–176 publications: 76 scientists 177–181 publications: 75 scientists 182–186 publications: 61 scientists 187–191 publications: 66 scientists 192–196 publications: 68 scientists 197–201 publications: 71 scientists 202–206 publications: 60 scientists 207–211 publications: 56 scientists 212–216 publications: 44 scientists 217–221 publications: 51 scientists 222–226 publications: 65 scientists 227–231 publications: 48 scientists 232–236 publications: 59 scientists 237–241 publications: 37 scientists 242–246 publications: 37 scientists 247–251 publications: 41 scientists 252–256 publications: 43 scientists 257–261 publications: 33 scientists 262–266 publications: 34 scientists 267–271 publications: 39 scientists 272–276 publications: 25 scientists 277–281 publications: 29 scientists 282–286 publications: 29 scientists 287–291 publications: 26 scientists 292–296 publications: 31 scientists 297–301 publications: 31 scientists 302–306 publications: 24 scientists 307–311 publications: 28 scientists 312–316 publications: 24 scientists 317–321 publications: 13 scientists 322–326 publications: 14 scientists 327–331 publications: 25 scientists 332–336 publications: 18 scientists 337–341 publications: 16 scientists 342–346 publications: 18 scientists 347–351 publications: 15 scientists 352–356 publications: 17 scientists 357–361 publications: 19 scientists 362–366 publications: 16 scientists 367–371 publications: 17 scientists 372–376 publications: 7 scientists 377–381 publications: 18 scientists 382–386 publications: 13 scientists 387–391 publications: 19 scientists 392–396 publications: 9 scientists 397–401 publications: 10 scientists 402–406 publications: 13 scientists 407–411 publications: 13 scientists 412–416 publications: 5 scientists 417–421 publications: 10 scientists 422–426 publications: 6 scientists 427–431 publications: 12 scientists 432–436 publications: 9 scientists 437–441 publications: 9 scientists 442–446 publications: 10 scientists 447–451 publications: 12 scientists 452–456 publications: 8 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 4 scientists 472–476 publications: 5 scientists 477–481 publications: 6 scientists 482–486 publications: 7 scientists 487–491 publications: 8 scientists 492–496 publications: 5 scientists 497–501 publications: 4 scientists 502–506 publications: 4 scientists 507–511 publications: 5 scientists 512–516 publications: 7 scientists 517–520 publications: 7 scientists 521+ publications: 99 scientists
42–46 publications 521+

This scientist: 183 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 521 publications or more.

View publications distribution as a table
Number of Economics and Finance scientists by publication count, Research.com 2026 ranking edition. Based on 3,760 ranked scientists.
Publications Scientists This scientist
42–46 1
47–51 12
52–56 7
57–61 23
62–66 32
67–71 36
72–76 56
77–81 57
82–86 70
87–91 86
92–96 72
97–101 106
102–106 97
107–111 96
112–116 101
117–121 103
122–126 102
127–131 108
132–136 107
137–141 111
142–146 94
147–151 96
152–156 100
157–161 74
162–166 68
167–171 91
172–176 76
177–181 75
182–186 61 183
187–191 66
192–196 68
197–201 71
202–206 60
207–211 56
212–216 44
217–221 51
222–226 65
227–231 48
232–236 59
237–241 37
242–246 37
247–251 41
252–256 43
257–261 33
262–266 34
267–271 39
272–276 25
277–281 29
282–286 29
287–291 26
292–296 31
297–301 31
302–306 24
307–311 28
312–316 24
317–321 13
322–326 14
327–331 25
332–336 18
337–341 16
342–346 18
347–351 15
352–356 17
357–361 19
362–366 16
367–371 17
372–376 7
377–381 18
382–386 13
387–391 19
392–396 9
397–401 10
402–406 13
407–411 13
412–416 5
417–421 10
422–426 6
427–431 12
432–436 9
437–441 9
442–446 10
447–451 12
452–456 8
457–461 4
462–466 7
467–471 4
472–476 5
477–481 6
482–486 7
487–491 8
492–496 5
497–501 4
502–506 4
507–511 5
512–516 7
517–520 7
521+ 99
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A. M. Robert Taylor D-index placement in Economics and Finance in 2026

The chart shows the D-index (discipline H-index) distribution of Economics and Finance scientists ranked by Research.com in 2026. The highlighted bar marks where A. M. Robert Taylor sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 72 bars. Horizontal axis: D-Index, 30 to 101+. Vertical axis: number of scientists, 0 to 178. Most scientists, 178, have 33 D-Index. The last bar groups every scientist with 101 D-Index or more. The highlighted bar, 36 D-Index, is where this scientist sits. 30 D-Index: 126 scientists 31 D-Index: 147 scientists 32 D-Index: 157 scientists 33 D-Index: 178 scientists 34 D-Index: 171 scientists 35 D-Index: 141 scientists 36 D-Index: 132 scientists 37 D-Index: 129 scientists 38 D-Index: 130 scientists 39 D-Index: 120 scientists 40 D-Index: 117 scientists 41 D-Index: 113 scientists 42 D-Index: 114 scientists 43 D-Index: 97 scientists 44 D-Index: 115 scientists 45 D-Index: 86 scientists 46 D-Index: 78 scientists 47 D-Index: 83 scientists 48 D-Index: 62 scientists 49 D-Index: 74 scientists 50 D-Index: 50 scientists 51 D-Index: 66 scientists 52 D-Index: 69 scientists 53 D-Index: 55 scientists 54 D-Index: 67 scientists 55 D-Index: 61 scientists 56 D-Index: 62 scientists 57 D-Index: 45 scientists 58 D-Index: 34 scientists 59 D-Index: 47 scientists 60 D-Index: 46 scientists 61 D-Index: 36 scientists 62 D-Index: 37 scientists 63 D-Index: 56 scientists 64 D-Index: 50 scientists 65 D-Index: 32 scientists 66 D-Index: 28 scientists 67 D-Index: 30 scientists 68 D-Index: 24 scientists 69 D-Index: 25 scientists 70 D-Index: 22 scientists 71 D-Index: 21 scientists 72 D-Index: 26 scientists 73 D-Index: 24 scientists 74 D-Index: 23 scientists 75 D-Index: 12 scientists 76 D-Index: 14 scientists 77 D-Index: 15 scientists 78 D-Index: 15 scientists 79 D-Index: 17 scientists 80 D-Index: 17 scientists 81 D-Index: 11 scientists 82 D-Index: 10 scientists 83 D-Index: 16 scientists 84 D-Index: 11 scientists 85 D-Index: 5 scientists 86 D-Index: 9 scientists 87 D-Index: 13 scientists 88 D-Index: 9 scientists 89 D-Index: 7 scientists 90 D-Index: 6 scientists 91 D-Index: 4 scientists 92 D-Index: 8 scientists 93 D-Index: 10 scientists 94 D-Index: 11 scientists 95 D-Index: 6 scientists 96 D-Index: 4 scientists 97 D-Index: 4 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100 D-Index: 8 scientists 101+ D-Index: 100 scientists
30 D-Index 101+

This scientist: 36 D-Index — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 101 D-Index or more.

View D-Index distribution as a table
Number of Economics and Finance scientists by D-index, Research.com 2026 ranking edition. Based on 3,760 ranked scientists.
D-Index Scientists This scientist
30 126
31 147
32 157
33 178
34 171
35 141
36 132 36
37 129
38 130
39 120
40 117
41 113
42 114
43 97
44 115
45 86
46 78
47 83
48 62
49 74
50 50
51 66
52 69
53 55
54 67
55 61
56 62
57 45
58 34
59 47
60 46
61 36
62 37
63 56
64 50
65 32
66 28
67 30
68 24
69 25
70 22
71 21
72 26
73 24
74 23
75 12
76 14
77 15
78 15
79 17
80 17
81 11
82 10
83 16
84 11
85 5
86 9
87 13
88 9
89 7
90 6
91 4
92 8
93 10
94 11
95 6
96 4
97 4
98 6
99 6
100 8
101+ 100
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Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Mathematical analysis
  • Econometrics

Statistics, Econometrics, Unit root, Series and Null hypothesis are his primary areas of study. His studies link Null with Statistics. His work on Volatility and Heteroscedasticity as part of his general Econometrics study is frequently connected to Invariant, thereby bridging the divide between different branches of science.

A. M. Robert Taylor works mostly in the field of Unit root, limiting it down to topics relating to Unit root test and, in certain cases, Augmented Dickey–Fuller test, as a part of the same area of interest. His study on Order of integration is often connected to Univariate as part of broader study in Series. His research in Null hypothesis intersects with topics in Consistency, Decision rule and Trend stationary.

His most cited work include:

  • Tests of stationarity against a change in persistence (160 citations)
  • Testing for unit roots in time series models with non-stationary volatility (116 citations)
  • BOOTSTRAP UNIT ROOT TESTS FOR TIME SERIES WITH NONSTATIONARY VOLATILITY (104 citations)

What are the main themes of his work throughout his whole career to date?

A. M. Robert Taylor mainly investigates Statistics, Econometrics, Unit root, Series and Null. His study in Monte Carlo method, Null hypothesis, Statistical hypothesis testing, Sample and Autocorrelation are all subfields of Statistics. His work in the fields of Econometrics, such as Heteroscedasticity and Volatility, overlaps with other areas such as Inference.

His work deals with themes such as Regression, Unit root test, Estimator, Applied mathematics and Decision rule, which intersect with Unit root. His study in the fields of Order of integration under the domain of Series overlaps with other disciplines such as Univariate and Persistence. His Null study integrates concerns from other disciplines, such as Limit and Nyquist–Shannon sampling theorem.

He most often published in these fields:

  • Statistics (48.94%)
  • Econometrics (47.66%)
  • Unit root (40.85%)

What were the highlights of his more recent work (between 2014-2021)?

  • Econometrics (47.66%)
  • Heteroscedasticity (17.45%)
  • Statistics (48.94%)

In recent papers he was focusing on the following fields of study:

A. M. Robert Taylor spends much of his time researching Econometrics, Heteroscedasticity, Statistics, Unit root and Monte Carlo method. In general Econometrics, his work in Volatility is often linked to Inference linking many areas of study. A. M. Robert Taylor interconnects Statistical hypothesis testing, Covariance matrix and Autoregressive conditional heteroskedasticity in the investigation of issues within Heteroscedasticity.

His Statistic and Unit root test study, which is part of a larger body of work in Statistics, is frequently linked to Zero, Zero frequency and Kernel, bridging the gap between disciplines. His Unit root study combines topics in areas such as Discrete time and continuous time, Series and Ordinary least squares. His Series research integrates issues from Sampling, Null, Power function and Systematic sampling.

Between 2014 and 2021, his most popular works were:

  • Tests for explosive financial bubbles in the presence of non-stationary volatility (62 citations)
  • Inference on Co-integration Parameters in Heteroskedastic Vector Autoregressions (21 citations)
  • Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets (20 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Mathematical analysis
  • Econometrics

His primary areas of study are Econometrics, Statistics, Monte Carlo method, Heteroscedasticity and Volatility. His Unit root study in the realm of Econometrics interacts with subjects such as Inference. His Statistics study frequently intersects with other fields, such as Null.

The various areas that A. M. Robert Taylor examines in his Heteroscedasticity study include Statistical hypothesis testing and Autoregressive fractionally integrated moving average. His Statistical hypothesis testing study deals with Covariance matrix intersecting with Homoscedasticity. His study in Volatility is interdisciplinary in nature, drawing from both Parametric model, Statistic and Infimum and supremum.

Best Publications

  • Tests of stationarity against a change in persistence

    Fabio Busetti;A.M.Robert Taylor

  • Testing for unit roots in time series models with non-stationary volatility

    Giuseppe Cavaliere;A.M. Robert Taylor

  • Tests for explosive financial bubbles in the presence of non-stationary volatility

    David I. Harvey;Stephen J. Leybourne;Robert Sollis;A.M. Robert Taylor

  • BOOTSTRAP UNIT ROOT TESTS FOR TIME SERIES WITH NONSTATIONARY VOLATILITY

    Giuseppe Cavaliere;A.M. Robert Taylor

  • Testing for co-integration in vector autoregressions with non-stationary volatility

    Giuseppe Cavaliere;Anders Rahbek;A.M. Robert Taylor

  • UNIT ROOT TESTING IN PRACTICE: DEALING WITH UNCERTAINTY OVER THE TREND AND INITIAL CONDITION

    David I. Harvey;Stephen J. Leybourne;A.M. Robert Taylor

  • The Flexible Fourier Form and Local Generalised Least Squares De‐trended Unit Root Tests*

    Paulo M. M. Rodrigues;A. M. Robert Taylor

  • Bootstrap Determination of the Co-Integration Rank in Vector Autoregressive Models

    Giuseppe Cavaliere;Anders Rahbek;A. M. Robert Taylor

  • Modified tests for a change in persistence

    David I. Harvey;Stephen J. Leybourne;A.M. Robert Taylor

  • SIMPLE, ROBUST, AND POWERFUL TESTS OF THE BREAKING TREND HYPOTHESIS

    David I. Harvey;Stephen J. Leybourne;A.M. Robert Taylor

  • COINTEGRATION RANK TESTING UNDER CONDITIONAL HETEROSKEDASTICITY

    Giuseppe Cavaliere;Anders Rahbek;A.M. Robert Taylor

  • Additional critical values and asymptotic representations for seasonal unit root tests

    Richard J. Smith;A.M. Robert Taylor

  • Detecting Multiple Changes in Persistence

    Stephen Leybourne;Tae Hwan Kim;A. M.Robert Taylor

  • A simple, robust and powerful test of the trend hypothesis

    David I. Harvey;Stephen J. Leybourne;A.M. Robert Taylor

  • TESTING FOR A UNIT ROOT IN THE PRESENCE OF A POSSIBLE BREAK IN TREND

    David Harris;David I. Harvey;Stephen J. Leybourne;A.M. Robert Taylor

  • HETEROSKEDASTIC TIME SERIES WITH A UNIT ROOT

    Giuseppe Cavaliere;A.M. Robert Taylor

  • Testing for unit roots in the possible presence of multiple trend breaks using minimum Dickey–Fuller statistics

    David I. Harvey;Stephen J. Leybourne;A.M. Robert Taylor

  • A Local Projections Approach to Difference-in-Differences Event Studies

    Unknown

  • Testing against stochastic trend and seasonality in the presence of unattended breaks and unit roots

    Fabio Busetti;A.M.Robert Taylor

  • Time-Transformed Unit Root Tests for Models with Non-Stationary Volatility

    Giuseppe Cavaliere;A. M. Robert Taylor

  • Testing for Unit Roots in Monthly Time Series

    A. M. Robert Taylor

  • Variance Shifts, Structural Breaks, and Stationarity Tests

    Fabio Busetti;A. M. Robert Taylor

Frequent Co-Authors

Stephen J. Leybourne
Stephen J. Leybourne University of Nottingham
David I. Harvey
David I. Harvey University of Nottingham
Morten Ørregaard Nielsen
Morten Ørregaard Nielsen Aarhus University
David Harris
David Harris University of Sydney
Peter C. B. Phillips
Peter C. B. Phillips Yale University
Denise R. Osborn
Denise R. Osborn University of Manchester
Philip Hans Franses
Philip Hans Franses Erasmus University Rotterdam
Jörg Breitung
Jörg Breitung University of Cologne
Dick van Dijk
Dick van Dijk Erasmus University Rotterdam
George Kapetanios
George Kapetanios King's College London

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