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Rob Procter

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 54 4476 4347 271 269 350 15755

Rob Procter publications per year

The chart shows the history of publications by Rob Procter between 1972 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Rob Procter published across 54 years, from 1972 to 2025, averaging 8.1 papers a year. Output peaked at 29 publications in 2009. 12 of the 436 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1972 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2009. 1972: 1 publication 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 2 publications 1992: 2 publications 1993: 1 publication 1994: 8 publications 1995: 17 publications 1996: 15 publications 1997: 13 publications 1998: 19 publications 1999: 8 publications 2000: 8 publications 2001: 18 publications 2002: 17 publications 2003: 12 publications 2004: 6 publications 2005: 8 publications 2006: 18 publications 2007: 25 publications 2008: 20 publications 2009: 29 publications 2010: 24 publications 2011: 10 publications 2012: 11 publications 2013: 10 publications 2014: 20 publications 2015: 16 publications 2016: 13 publications 2017: 19 publications 2018: 8 publications 2019: 2 publications 2020: 2 publications 2021: 3 publications 2022: 24 publications 2023: 15 publications 2024: 8 publications 2025: 4 publications
1972 2025

436 publications in total across all disciplines

View publications per year as a table
Rob Procter: publications per year, 1972 to 2025
Year Publications
1972 1
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 2
1992 2
1993 1
1994 8
1995 17
1996 15
1997 13
1998 19
1999 8
2000 8
2001 18
2002 17
2003 12
2004 6
2005 8
2006 18
2007 25
2008 20
2009 29
2010 24
2011 10
2012 11
2013 10
2014 20
2015 16
2016 13
2017 19
2018 8
2019 2
2020 2
2021 3
2022 24
2023 15
2024 8
2025 4
Total 436
Download as CSV

Rob Procter 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 Rob Procter 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, 342–351 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: 350 publications — 82nd percentile

82% 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
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
342–351 208 350
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

Rob Procter 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 Rob Procter 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, 54–55 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: 54 D-Index — 69th percentile

69% 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
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500 54
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

Rob Procter is affiliated with the University of Warwick in the United Kingdom and has contributed significantly to research at the intersection of computer science and social sciences. Their work spans various subfields including artificial intelligence, sociology and political science, health informatics, communication, and electrical and electronic engineering.

Their research interests are reflected in publication topics such as:

  • Topic Modeling
  • Misinformation and Its Impacts
  • Advanced Text Analysis Techniques
  • Explainable Artificial Intelligence (XAI)
  • Natural Language Processing Techniques
  • Artificial Intelligence in Healthcare and Education
  • Ethics and Social Impacts of AI

Rob Procter's publication record includes frequent appearances in venues such as:

  • arXiv (Cornell University)
  • Procedia Computer Science
  • PLoS ONE
  • IEEE Security & Privacy
  • Data & Policy

Recent papers authored or co-authored by Procter include:

  • "Trust in the smart home: Findings from a nationally representative survey in the UK" (2020, PLoS ONE)
  • "Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare" (2022, ACM Transactions on Computer-Human Interaction)
  • "Assessing physical access to healthy food across United Kingdom: A systematic review of measures and findings" (2021, Obesity Science & Practice)
  • "Global evidence on the rapid adoption of telemedicine in primary care during the first 2 years of the COVID-19 pandemic: a scoping review protocol" (2022, Systematic Reviews)
  • "Evaluating the generalisability of neural rumour verification models" (2022, Information Processing & Management)

Collaborations with co-authors are frequent, with notable recurring partnerships including:

  • Maria Liakata
  • Miguel Arana-Catania
  • Yulan He
  • Arkaitz Zubiaga
  • Elena Kochkina

The breadth of Procter's work encompasses fundamental topics in artificial intelligence and its application to societal challenges, including healthcare and misinformation. Their engagement with advanced AI techniques and ethical issues contributes to multidisciplinary discourse bridging technical and social perspectives.

Best Publications

  • Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies

    Trisha Greenhalgh;Joseph Wherton;Chrysanthi Papoutsi;Jennifer Lynch

  • The impact of eHealth on the quality and safety of health care: a systematic overview.

    Ashly D. Black;Josip Car;Claudia Pagliari;Chantelle Anandan

  • Detection and Resolution of Rumours in Social Media: A Survey

    Arkaitz Zubiaga;Ahmet Aker;Kalina Bontcheva;Maria Liakata

  • Analysing how people orient to and spread rumours in social media by looking at conversational threads

    Arkaitz Zubiaga;Maria Liakata;Rob Procter;Geraldine Wong Sak Hoi

  • What matters to older people with assisted living needs? A phenomenological analysis of the use and non-use of telehealth and telecare

    Trisha Greenhalgh;Joe Wherton;Paul Sugarhood;Sue Hinder

  • Reading the riots on Twitter: methodological innovation for the analysis of big data

    Robert N. Procter;Farida Vis;Alex Voss

  • SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

    Leon Derczynski;Kalina Bontcheva;Maria Liakata;Rob Procter

  • Making a Case in Medical Work: Implications forthe Electronic Medical Record

    Mark Hartswood;Rob Procter;Mark Rouncefield;Roger Slack

  • Adoption and use of Web 2.0 in scholarly communications

    Rob Procter;Robin Williams;James Stewart;Meik Poschen

  • Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack

    Pete Burnap;Matthew L. Williams;Luke Sloan;Omer Rana

  • Exploiting Context for Rumour Detection in Social Media

    Arkaitz Zubiaga;Maria Liakata;Maria Liakata;Rob Procter;Rob Procter

  • Analysing the role of complexity in explaining the fortunes of technology programmes: Empirical application of the NASSS framework

    Trisha Greenhalgh;Joe Wherton;Chrysanthi Papoutsi;Jenni Lynch

  • Reading the riots: what were the police doing on Twitter?

    Rob Procter;Jeremy Crump;Susanne Karstedt;Alex Voss

  • Configuring User-designer Relations Interdisciplinary Perspectives

    Alex Voss;Mark Hartswood;Rob Procter;Mark Rouncefield

  • What is quality in assisted living technology? : the ARCHIE framework for effective telehealth and telecare services

    Trisha Greenhalgh;Rob Procter;Joe Wherton;Paul Sugarhood

  • Expertise and Innovation: Information Technology Strategies in the Financial Services Sector

    Robin Fincham;Rob Procter;James Fleck

  • Collaboration and Trust in Healthcare Innovation: The eDiaMoND Case Study

    Marina Jirotka;Rob Procter;Mark Hartswood;Roger Slack

  • Co-realisation: towards a principled synthesis of ethnomethodology and participatory design

    Mark Hartswood;Rob Procter;Roger Slack;Alex Voß

  • Supporting Systematic Reviews Using Text Mining

    Sophia Ananiadou;Brian Rea;Naoaki Okazaki;Rob Procter

  • Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media.

    Arkaitz Zubiaga;Maria Liakata;Rob Procter

Frequent Co-Authors

Robin Williams
Robin Williams University of Edinburgh
Mark Rouncefield
Mark Rouncefield Lancaster University
Maria Liakata
Maria Liakata Queen Mary University of London
Arkaitz Zubiaga
Arkaitz Zubiaga Queen Mary University of London
Gill Harvey
Gill Harvey University of Adelaide
Kalina Bontcheva
Kalina Bontcheva University of Sheffield
Trisha Greenhalgh
Trisha Greenhalgh University of Oxford
Harry Scarbrough
Harry Scarbrough City, University of London
David De Roure
David De Roure University of Oxford
Alistair Sutcliffe
Alistair Sutcliffe University of Manchester

External Links

Personal website of Rob Procter Google Scholar page

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Best Scientists Citing Rob Procter

Aziz Sheikh

Aziz Sheikh

University of Oxford

Publications: 91

Kathrin Cresswell

Kathrin Cresswell

University of Edinburgh

Publications: 58

Preslav Nakov

Preslav Nakov

Mohamed bin Zayed University of Artificial Intelligence

Publications: 48

Trisha Greenhalgh

Trisha Greenhalgh

University of Oxford

Publications: 43

Mark Rouncefield

Mark Rouncefield

Lancaster University

Publications: 38

Robin Williams

Robin Williams

University of Edinburgh

Publications: 35

Josip Car

Josip Car

Imperial College London

Publications: 26

Maria Liakata

Maria Liakata

Queen Mary University of London

Publications: 24

Saskia Marion Kelders

Saskia Marion Kelders

University of Twente

Publications: 23

Arkaitz Zubiaga

Arkaitz Zubiaga

Queen Mary University of London

Publications: 22

David W. Bates

David W. Bates

Brigham and Women's Hospital

Publications: 21

Kalina Bontcheva

Kalina Bontcheva

University of Sheffield

Publications: 21

Johanna I. Westbrook

Johanna I. Westbrook

Macquarie University

Publications: 20

Neil Pollock

Neil Pollock

University of Edinburgh

Publications: 20

Andrew Georgiou

Andrew Georgiou

Macquarie University

Publications: 20

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Alberto Barrón-Cedeño

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