What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Social science
Henry Small mostly deals with Citation, Data science, Scientific literature, Science Citation Index and Co-citation.
His work in the fields of Citation analysis overlaps with other areas such as Weighting.
His Citation analysis study integrates concerns from other disciplines, such as Data mining, Journal Impact Factors and Operations research.
His work carried out in the field of Data science brings together such families of science as Ordination, Visualization, Information visualization, Scientometrics and Virtual reality.
He interconnects Bibliographic coupling, Information retrieval, Search engine indexing and Citation graph in the investigation of issues within Science Citation Index.
The Co-citation study combines topics in areas such as Variety and Subject.
His most cited work include:
- Co-citation in the scientific literature: A new measure of the relationship between two documents (2417 citations)
- The Structure of Scientific Literatures I: Identifying and Graphing Specialties: (603 citations)
- Visualizing science by citation mapping (517 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Citation, Data science, Structure, Co-citation and Citation analysis.
His work on Science Citation Index as part of general Citation research is often related to Scientific literature, thus linking different fields of science.
His Data science research includes elements of Citation context, Virtual reality and Discipline.
His Co-citation study combines topics from a wide range of disciplines, such as Subject, Measure and Context analysis.
His Citation analysis study incorporates themes from Data warehouse, Data mining, Data exploration and Operations research.
His study in Bibliographic coupling is interdisciplinary in nature, drawing from both Cluster grouping, Search engine indexing and Behavioural sciences.
He most often published in these fields:
- Citation (37.29%)
- Data science (27.12%)
- Structure (20.34%)
What were the highlights of his more recent work (between 2012-2019)?
- Citation (37.29%)
- Scientific literature (15.25%)
- Data science (27.12%)
In recent papers he was focusing on the following fields of study:
Henry Small focuses on Citation, Scientific literature, Data science, Information retrieval and Context.
The study incorporates disciplines such as Multiple discovery, Certainty and Feature in addition to Citation.
His Scientific literature studies intersect with other subjects such as Subject, Science Citation Index, Structure, Frequency effect and Classification scheme.
The various areas that Henry Small examines in his Data science study include Citation context and Process.
His Information retrieval research incorporates themes from Data mining, Measure, Cluster analysis, Coherence and Co-citation.
His Context study combines topics in areas such as Science mapping, Logistic regression and Emerging technologies.
Between 2012 and 2019, his most popular works were:
- Identifying emerging topics in science and technology (186 citations)
- Improving the accuracy of co‐citation clustering using full text (86 citations)
- Bibliometrics: Is your most cited work your best? (67 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Social science
His primary areas of study are Library science, Bibliometrics, Work, Peer review and Measure.
He has included themes like Coherence, Cluster analysis, Information retrieval and Co-citation in his Measure study.
His work on Co-citation is being expanded to include thematically relevant topics such as Quality.
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