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Tony P. Pridmore

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 44 7427 7210 442 437 175 11523

Tony P. Pridmore publications per year

The chart shows the history of publications by Tony P. Pridmore between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tony P. Pridmore published across 39 years, from 1987 to 2025, averaging 5.4 papers a year. Output peaked at 16 publications in 2014. 3 of the 212 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2014. 1987: 2 publications 1988: 4 publications 1989: 1 publication 1990: 3 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 2 publications 1995: 10 publications 1996: 3 publications 1997: 3 publications 1998: 3 publications 1999: 0 publications 2000: 14 publications 2001: 4 publications 2002: 5 publications 2003: 8 publications 2004: 3 publications 2005: 3 publications 2006: 4 publications 2007: 5 publications 2008: 6 publications 2009: 8 publications 2010: 5 publications 2011: 6 publications 2012: 12 publications 2013: 9 publications 2014: 16 publications 2015: 10 publications 2016: 7 publications 2017: 8 publications 2018: 13 publications 2019: 8 publications 2020: 13 publications 2021: 7 publications 2022: 3 publications 2023: 0 publications 2024: 1 publication 2025: 2 publications
1987 2025

212 publications in total across all disciplines

View publications per year as a table
Tony P. Pridmore: publications per year, 1987 to 2025
Year Publications
1987 2
1988 4
1989 1
1990 3
1991 0
1992 0
1993 1
1994 2
1995 10
1996 3
1997 3
1998 3
1999 0
2000 14
2001 4
2002 5
2003 8
2004 3
2005 3
2006 4
2007 5
2008 6
2009 8
2010 5
2011 6
2012 12
2013 9
2014 16
2015 10
2016 7
2017 8
2018 13
2019 8
2020 13
2021 7
2022 3
2023 0
2024 1
2025 2
Total 212
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Tony P. Pridmore publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tony P. Pridmore sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 172–181 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556 175
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Tony P. Pridmore D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tony P. Pridmore sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 44–45 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763 44
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Tony P. Pridmore is affiliated with the University of Nottingham in the United Kingdom. Their research spans several interdisciplinary fields, primarily focusing on plant science, computer vision and pattern recognition, and radiology, nuclear medicine and imaging. Additional areas of study include ocean engineering and biomedical engineering.

Their research topics cover a diverse range of subjects related to both agriculture and medical imaging technologies. Key topics include:

  • Smart Agriculture and AI
  • Medical Imaging Techniques and Applications
  • Geophysical Methods and Applications
  • Advanced X-ray and CT Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • Geophysical and Geoelectrical Methods
  • Image Processing and 3D Reconstruction

Tony P. Pridmore has published numerous papers in various scientific venues. Frequent publication venues include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • F1000Research
  • Frontiers in Plant Science
  • Plant Methods

Their recent papers, reflecting contributions to computational plant science, robotics, and imaging, include the following:

  • Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields, 2020, Plant Methods
  • Meeting sustainable development goals via robotics and autonomous systems, 2022, Nature Communications
  • Potential of geoelectrical methods to monitor root zone processes and structure: A review, 2020, Geoderma
  • Three Dimensional Root CT Segmentation Using Multi-Resolution Encoder-Decoder Networks, 2020, IEEE Transactions on Image Processing
  • Data management challenges for artificial intelligence in plant and agricultural research, 2023, F1000Research

Collaboration is a significant aspect of their research activity. Frequent co-authors include:

  • Andrew P. French
  • Dimitrios Bellos
  • Mark Basham
  • Michael P. Pound
  • Sacha J. Mooney

Best Publications

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Plant Phenomics, From Sensors to Knowledge

    François Tardieu;Llorenç Cabrera-Bosquet;Tony P. Pridmore;Malcolm J. Bennett

  • Developing X-ray Computed Tomography to non-invasively image 3-D root systems architecture in soil

    S. J. Mooney;T. P. Pridmore;J. Helliwell;M. J. Bennett

  • Colocalization of fluorescent markers in confocal microscope images of plant cells

    Andrew P French;Steven Mills;Steven Mills;Ranjan Swarup;Malcolm J Bennett

  • Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping

    Michael P. Pound;Jonathan A. Atkinson;Alexandra J. Townsend;Michael H. Wilson

  • RooTrak: automated recovery of three-dimensional plant root architecture in soil from x-ray microcomputed tomography images using visual tracking.

    Stefan Mairhofer;Susan Zappala;Saoirse R. Tracy;Craig Sturrock

  • RootNav: Navigating Images of Complex Root Architectures

    Michael P. Pound;Andrew P. French;Jonathan A. Atkinson;Darren M. Wells

  • Classroom collaboration in the design of tangible interfaces for storytelling

    Danae Stanton;Victor Bayon;Helen Neale;Ahmed Ghali

  • High-Throughput Quantification of Root Growth Using a Novel Image-Analysis Tool

    Andrew French;Susana Ubeda-Tomás;Tara J. Holman;Malcolm J. Bennett

  • Expected, sensed, and desired: A framework for designing sensing-based interaction

    Steve Benford;Holger Schnädelbach;Boriana Koleva;Rob Anastasi

  • Knowledge-directed interpretation of mechanical engineering drawings

    S. H. Joseph;T. P. Pridmore

  • British Machine Vision Conference 1999

    Tony P Pridmore

  • Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

    Junfeng Gao;Junfeng Gao;Junfeng Gao;Andrew P. French;Michael P. Pound;Yong He

  • Deep Learning for Multi-task Plant Phenotyping

    Michael P. Pound;Jonathan A. Atkinson;Darren M. Wells;Tony P. Pridmore

  • Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images

    Michael P. Pound;Andrew P. French;Erik H. Murchie;Tony P. Pridmore

  • RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures.

    Robail Yasrab;Jonathan A Atkinson;Darren M Wells;Andrew P French

  • Root System Markup Language: Toward a Unified Root Architecture Description Language

    Guillaume Lobet;Michael P. Pound;Julien Diener;Christophe Pradal

  • Validation of a novel computer-assisted sperm analysis (CASA) system using multitarget-tracking algorithms.

    Mathew James Tomlinson;Karen Pooley;Tracey Simpson;Thomas Newton

  • Behavioural changes in dairy cows with lameness in an automatic milking system

    Giuliana G. Miguel-Pacheco;Jasmeet Kaler;John Remnant;Lydia Cheyne

Frequent Co-Authors

Malcolm J. Bennett
Malcolm J. Bennett University of Nottingham
Darren M. Wells
Darren M. Wells University of Nottingham
Sacha J. Mooney
Sacha J. Mooney University of Nottingham
Craig J. Sturrock
Craig J. Sturrock University of Nottingham
Erik H. Murchie
Erik H. Murchie University of Nottingham
Steve Benford
Steve Benford University of Nottingham
Sue Cobb
Sue Cobb University of Nottingham
Ranjan Swarup
Ranjan Swarup University of Nottingham
Oliver E. Jensen
Oliver E. Jensen University of Manchester
Jonathan P. Lynch
Jonathan P. Lynch Pennsylvania State University

External Links

Personal website of Tony P. Pridmore Google Scholar page

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Best Scientists Citing Tony P. Pridmore

Malcolm J. Bennett

Malcolm J. Bennett

University of Nottingham

Publications: 68

Guillaume Lobet

Guillaume Lobet

Forschungszentrum Jülich

Publications: 45

Sacha J. Mooney

Sacha J. Mooney

University of Nottingham

Publications: 32

Mathieu Javaux

Mathieu Javaux

Université Catholique de Louvain

Publications: 31

Craig J. Sturrock

Craig J. Sturrock

University of Nottingham

Publications: 29

Josep Lladós

Josep Lladós

Autonomous University of Barcelona

Publications: 28

Jiří Friml

Jiří Friml

Institute of Science and Technology Austria

Publications: 28

Doris Vetterlein

Doris Vetterlein

Helmholtz Centre for Environmental Research

Publications: 27

Steve Benford

Steve Benford

University of Nottingham

Publications: 26

Jonathan P. Lynch

Jonathan P. Lynch

Pennsylvania State University

Publications: 25

Darren M. Wells

Darren M. Wells

University of Nottingham

Publications: 24

Xavier Draye

Xavier Draye

Université Catholique de Louvain

Publications: 23

Tom Beeckman

Tom Beeckman

Ghent University

Publications: 21

Jan Vanderborght

Jan Vanderborght

Forschungszentrum Jülich

Publications: 21

Erik H. Murchie

Erik H. Murchie

University of Nottingham

Publications: 20

Ranjan Swarup

Ranjan Swarup

University of Nottingham

Publications: 19

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