What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Social science
- World Wide Web
Nigel Ford spends much of his time researching Cognitive style, Artificial intelligence, Information seeking, Mathematics education and Learning styles.
His Cognitive style study incorporates themes from Computer-Assisted Instruction, Cognitive psychology, Pedagogy, Perception and World Wide Web.
Nigel Ford has researched World Wide Web in several fields, including Descriptive knowledge and Empirical research.
His biological study focuses on Deep learning.
He interconnects Dialog box and Applied psychology in the investigation of issues within Information seeking.
The various areas that Nigel Ford examines in his Mathematics education study include Information science, Library instruction, Comprehension, Query language and Competence.
His most cited work include:
- Serendipity and information seeking: an empirical study (371 citations)
- Matching/mismatching revisited: an empirical study of learning and teaching styles (264 citations)
- Individual differences, hypermedia navigation, and learning: an empirical study (261 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Information seeking, Cognitive style, The Internet, Perception and World Wide Web.
His Information seeking research integrates issues from Conversation theory, Relevance and Applied psychology.
The study incorporates disciplines such as Social psychology, Mathematics education, Learning styles, Usability and Artificial intelligence in addition to Cognitive style.
His Artificial intelligence study combines topics in areas such as Information science and Empirical research.
As a part of the same scientific family, Nigel Ford mostly works in the field of The Internet, focusing on Cognitive psychology and, on occasion, Relation, Exploratory research and Prima facie.
His studies in World Wide Web integrate themes in fields like Data collection and Knowledge representation and reasoning.
He most often published in these fields:
- Information seeking (24.35%)
- Cognitive style (22.61%)
- The Internet (13.91%)
What were the highlights of his more recent work (between 2007-2018)?
- Knowledge management (12.17%)
- Information seeking (24.35%)
- Metacognition (6.09%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Knowledge management, Information seeking, Metacognition, Cognitive psychology and Cognitive style.
His Knowledge management research is multidisciplinary, incorporating elements of The Internet, Information literacy and Data science.
His Information seeking study incorporates themes from Objectivity and World Wide Web.
He combines subjects such as Information retrieval and Data collection with his study of World Wide Web.
His study in Metacognition is interdisciplinary in nature, drawing from both Applied psychology, Learning design and Common-method variance.
The Cognitive psychology study which covers Usability that intersects with Software and Creativity.
Between 2007 and 2018, his most popular works were:
- Countering method bias in questionnaire-based user studies (44 citations)
- Introduction to Information Behaviour (29 citations)
- Web searching by the “general public”: an individual differences perspective (28 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Social science
- World Wide Web
The scientist’s investigation covers issues in Metacognition, Sample, Pedagogy, Knowledge management and Information literacy.
His Metacognition research is multidisciplinary, relying on both Reliability and Applied psychology.
The Internet is closely connected to Medical education in his research, which is encompassed under the umbrella topic of Knowledge management.
The concepts of his Web searching study are interwoven with issues in Cognitive psychology and Social psychology.
His Group information management investigation overlaps with other areas such as Information seeking and Context.
His Information seeking research incorporates themes from Qualitative research and Deep Web.
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