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.
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