H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 37 Citations 6,955 200 World Ranking 2930 National Ranking 213
Social Sciences and Humanities H-index 42 Citations 9,380 201 World Ranking 1940 National Ranking 353

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Social science
  • Artificial intelligence

Rob Procter spends much of his time researching Social media, Knowledge management, Artificial intelligence, Conditional random field and Classifier. Rob Procter has included themes like Internet privacy, Social network analysis, Task and Big data in his Social media study. Rob Procter has researched Knowledge management in several fields, including Value proposition, Software deployment, eHealth, Action research and Set.

His study looks at the intersection of eHealth and topics like Quality safety with Nursing. His Natural language processing research extends to Artificial intelligence, which is thematically connected. His Conditional random field research incorporates themes from Exploit and Precision and recall, Machine learning.

His most cited work include:

  • The impact of eHealth on the quality and safety of health care: a systematic overview. (1021 citations)
  • 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 (376 citations)
  • Analysing how people orient to and spread rumours in social media by looking at conversational threads (302 citations)

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

Rob Procter focuses on Knowledge management, Social media, World Wide Web, Public relations and Multimedia. His work on Sociotechnical system as part of general Knowledge management study is frequently connected to E infrastructure, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Social media research incorporates elements of Data science, Artificial intelligence and Internet privacy.

His biological study spans a wide range of topics, including Machine learning and Natural language processing. Rob Procter connects Multimedia with Mammography in his study.

He most often published in these fields:

  • Knowledge management (27.58%)
  • Social media (16.49%)
  • World Wide Web (10.82%)

What were the highlights of his more recent work (between 2015-2021)?

  • Social media (16.49%)
  • Artificial intelligence (7.22%)
  • Internet privacy (4.90%)

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

Rob Procter mainly investigates Social media, Artificial intelligence, Internet privacy, Natural language processing and Data science. His Social media research is multidisciplinary, relying on both Classifier, Public relations and Set. His Artificial intelligence research includes elements of Machine learning, Task and Data mining.

His Internet privacy research focuses on The Internet and how it relates to Big data and Identification. His Data science research integrates issues from Ideal, Metadata, Relevance and Openness to experience. His study brings together the fields of Knowledge management and Corporate governance.

Between 2015 and 2021, his most popular works were:

  • 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 (376 citations)
  • Analysing how people orient to and spread rumours in social media by looking at conversational threads (302 citations)
  • Detection and Resolution of Rumours in Social Media: A Survey (284 citations)

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

  • The Internet
  • Social science
  • Artificial intelligence

Rob Procter spends much of his time researching Social media, Artificial intelligence, Natural language processing, Classifier and Conditional random field. Particularly relevant to Disinformation is his body of work in Social media. The concepts of his Natural language processing study are interwoven with issues in Sequence, Task and Task.

The Classifier study combines topics in areas such as Exploit and Precision and recall, Machine learning. The various areas that he examines in his Internet privacy study include Misinformation, Social media mining, Resolution and Openness to experience. His studies in Empirical research integrate themes in fields like Secondary research, Variety, Corporate governance and Harm.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

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

Ashly D. Black;Josip Car;Claudia Pagliari;Chantelle Anandan.
PLOS Medicine (2011)

1470 Citations

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.
Journal of Medical Internet Research (2017)

484 Citations

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.
PLOS ONE (2016)

401 Citations

Detection and Resolution of Rumours in Social Media: A Survey

Arkaitz Zubiaga;Ahmet Aker;Kalina Bontcheva;Maria Liakata.
ACM Computing Surveys (2018)

368 Citations

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

Robert N. Procter;Farida Vis;Alex Voss.
International Journal of Social Research Methodology (2013)

320 Citations

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

Mark Hartswood;Rob Procter;Mark Rouncefield;Roger Slack.
conference on computer supported cooperative work (2003)

315 Citations

Adoption and use of Web 2.0 in scholarly communications

Rob Procter;Robin Williams;James Stewart;Meik Poschen.
Philosophical Transactions of the Royal Society A (2010)

291 Citations

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.
Social Science & Medicine (2013)

283 Citations

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

Pete Burnap;Matthew L. Williams;Luke Sloan;Omer Rana.
Social Network Analysis and Mining (2014)

222 Citations

Configuring User-designer Relations Interdisciplinary Perspectives

Alex Voss;Mark Hartswood;Rob Procter;Mark Rouncefield.
(2009)

214 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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