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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Social Sciences and Humanities 44 4055 3743 682 628 106 11293

Terry N. Flynn publications per year

The chart shows the history of publications by Terry N. Flynn between 1999 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Terry N. Flynn published across 26 years, from 1999 to 2024, averaging 4.3 papers a year. Output peaked at 21 publications in 2015. 2 of the 113 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1999 to 2024. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2015. 1999: 1 publication 2000: 0 publications 2001: 1 publication 2002: 2 publications 2003: 1 publication 2004: 2 publications 2005: 3 publications 2006: 7 publications 2007: 4 publications 2008: 8 publications 2009: 6 publications 2010: 6 publications 2011: 11 publications 2012: 11 publications 2013: 11 publications 2014: 6 publications 2015: 21 publications 2016: 7 publications 2017: 1 publication 2018: 2 publications 2019: 0 publications 2020: 0 publications 2021: 0 publications 2022: 0 publications 2023: 0 publications 2024: 2 publications
1999 2024

113 publications in total across all disciplines

View publications per year as a table
Terry N. Flynn: publications per year, 1999 to 2024
Year Publications
1999 1
2000 0
2001 1
2002 2
2003 1
2004 2
2005 3
2006 7
2007 4
2008 8
2009 6
2010 6
2011 11
2012 11
2013 11
2014 6
2015 21
2016 7
2017 1
2018 2
2019 0
2020 0
2021 0
2022 0
2023 0
2024 2
Total 113
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Terry N. Flynn publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where Terry N. Flynn sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 54 bars. Horizontal axis: publications, 44–53 to 570+. Vertical axis: number of scientists, 0 to 474. Most scientists, 474, have 114–123 publications. The last bar groups every scientist with 570 publications or more. The highlighted bar, 104–113 publications, is where this scientist sits. 44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44–53 publications 570+

This scientist: 106 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

View publications distribution as a table
Number of Social Sciences and Humanities scientists by publication count, Research.com 2026 ranking edition. Based on 7,777 ranked scientists.
Publications Scientists This scientist
44–53 28
54–63 61
64–73 161
74–83 225
84–93 301
94–103 390
104–113 406 106
114–123 474
124–133 453
134–143 434
144–153 407
154–163 411
164–173 391
174–183 313
184–193 319
194–203 304
204–213 285
214–223 246
224–233 213
234–243 170
244–253 167
254–263 162
264–273 138
274–283 138
284–293 113
294–303 106
304–313 95
314–323 101
324–333 81
334–343 69
344–353 56
354–363 36
364–373 42
374–383 41
384–393 44
394–403 27
404–413 30
414–423 20
424–433 29
434–443 29
444–453 25
454–463 19
464–473 21
474–483 11
484–493 17
494–503 7
504–513 6
514–523 12
524–533 10
534–543 7
544–553 6
554–563 12
564–569 8
570+ 100
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Terry N. Flynn D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where Terry N. Flynn sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 71 bars. Horizontal axis: D-Index, 30 to 100+. Vertical axis: number of scientists, 0 to 313. Most scientists, 313, have 42 D-Index. The last bar groups every scientist with 100 D-Index or more. The highlighted bar, 44 D-Index, is where this scientist sits. 30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 44 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

View D-Index distribution as a table
Number of Social Sciences and Humanities scientists by D-index, Research.com 2026 ranking edition. Based on 7,777 ranked scientists.
D-Index Scientists This scientist
30 177
31 210
32 222
33 188
34 181
35 243
36 261
37 272
38 278
39 300
40 297
41 308
42 313
43 300
44 269 44
45 260
46 228
47 251
48 203
49 186
50 187
51 166
52 138
53 141
54 131
55 137
56 109
57 129
58 95
59 105
60 106
61 86
62 94
63 77
64 79
65 59
66 68
67 51
68 49
69 40
70 43
71 40
72 50
73 46
74 43
75 45
76 45
77 30
78 25
79 31
80 29
81 18
82 21
83 26
84 15
85 15
86 19
87 19
88 12
89 7
90 19
91 20
92 13
93 9
94 13
95 8
96 7
97 6
98 6
99 6
100+ 97
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Overview

Terry N. Flynn is affiliated with the University of Nottingham in the United Kingdom. Their academic profile indicates engagement in research activities within this institution, although specific fields of study or research topics are not detailed in the available data.

There are no recent papers listed under their name, nor is there information about co-authors or frequent publication venues. This absence of publication data suggests either a focus outside traditional academic publishing or a lack of publicly documented research outputs at this time.

No book publications or awards have been recorded, and there is no information on specialized fields or subfields of study related to their work.

Similarly, data on main research topics or career achievements beyond primary affiliation are not available. There is no indication that Terry N. Flynn is deceased.

Best Publications

  • Discrete Choice Experiments Are Not Conjoint Analysis

    Jordan J Louviere;Terry N Flynn;Richard T Carson

  • Best--worst scaling: What it can do for health care research and how to do it.

    Terry N. Flynn;Jordan J. Louviere;Tim J. Peters;Joanna Coast

  • Development of a self-report measure of capability wellbeing for adults: the ICECAP-A.

    Hareth Al-Janabi;Terry N Flynn;Joanna Coast

  • Valuing the ICECAP capability index for older people

    Joanna Coast;Terry N. Flynn;Lucy Natarajan;Kerry Sproston

  • Best-Worst Scaling: Theory, Methods and Applications

    Jordan Louviere;Terry Flynn;Anthony A. J Marley

  • Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations.

    Joanna Coast;Hareth Al-Janabi;Eileen J. Sutton;Susan A. Horrocks

  • Developing attributes for a generic quality of life measure for older people: preferences or capabilities?

    Ini Grewal;Jane Lewis;Terry Flynn;Jackie Brown

  • Outcomes of social care for adults: developing a preference-weighted measure.

    Ann Netten;Peter Burge;Juliette Malley;Demetris Potoglou

  • An introduction to the application of (case 1) best–worst scaling in marketing research

    Jordan Louviere;Ian Lings;Towhidul Islam;Siegfried Gudergan

  • Several methods to investigate relative attribute impact in stated preference experiments.

    Emily Lancsar;Jordan Louviere;Terry Flynn

  • Valuing citizen and patient preferences in health: recent developments in three types of best–worst scaling

    Terry N Flynn

  • Scoring the ICECAP - a capability instrument : estimation of a UK general population tariff

    Terry N. Flynn;Elisabeth Huynh;Tim J. Peters;Hareth Al-Janabi

  • Models of quality of life: a taxonomy, overview and systematic review of the literature

    Jackie Brown;Ann Bowling;Terry Flynn

  • Best-worst scaling vs. discrete choice experiments: An empirical comparison using social care data

    Dimitris Potoglou;Peter Burge;Terry Flynn;Anne Netten

  • Best-worst scaling: theory and methods

    T.N. Flynn;A.A.J. Marley

  • An assessment of the construct validity of the descriptive system for the ICECAP capability measure for older people

    Joanna Coast;Tim J Peters;Lucy Natarajan;Kerry Sproston

  • Estimating preferences for a dermatology consultation using Best-Worst Scaling: comparison of various methods of analysis.

    Terry N Flynn;Jordan J Louviere;Tim J Peters;Joanna Coast

  • An assessment of the construct validity of the ASCOT measure of social care-related quality of life with older people

    Juliette N Malley;Juliette N Malley;Ann-Marie Towers;Ann P Netten;John E Brazier

  • Cost-effectiveness of a primary care treatment program for depression in low-income women in Santiago, Chile.

    Ricardo Araya;Terry Flynn;Terry Flynn;Terry Flynn;Graciela Rojas;Graciela Rojas;Graciela Rojas;Rosemarie Fritsch;Rosemarie Fritsch;Rosemarie Fritsch

  • Probabilistic models of set-dependent and attribute-level best-worst choice

    A.A.J. Marley;Terry N. Flynn;J.J. Louviere

Frequent Co-Authors

Jordan J. Louviere
Jordan J. Louviere University of South Australia
Joanna Coast
Joanna Coast University of Bristol
Timothy J. Peters
Timothy J. Peters University of Bristol
John Brazier
John Brazier University of Sheffield
Julie Ratcliffe
Julie Ratcliffe Flinders University
Michael G. Sawyer
Michael G. Sawyer University of Adelaide
Ann Netten
Ann Netten University of Kent
John F. P. Bridges
John F. P. Bridges The Ohio State University
Andrew Heathcote
Andrew Heathcote University of Newcastle Australia
Scott D. Brown
Scott D. Brown University of Newcastle Australia

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