Sam Scott

706 citations
13 papers · 442 · h-index 7

Impact in

    • Text and Document Classification Technologies
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Natural Language Processing Techniques
    • Semantic Web and Ontologies
    • Web Data Mining and Analysis
    • Spam and Phishing Detection

Papers in

Sam Scott

9 papers receiving 389 citations

Peers

Sam Scott
Comparison fields: 5 of 68
  • Artificial Intelligence 294
  • Information Systems 145
  • Software 13
  • Signal Processing 28
  • Radiological and Ultrasound Technology 12
Replace Shahid Rahman with:
Shahid Rahman France
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Patrick Saint‐Dizier France
Rodney D. Nielsen United States
Yandong Cai China
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Citations per field
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Citations per year

Countries citing papers authored by Sam Scott

Since Specialization
Citations

This map shows the geographic impact of Sam Scott's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sam Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Scott more than expected).

Fields of papers citing papers by Sam Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Scott. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sam Scott. The network helps show where Sam Scott may publish in the future.

Co-authors

The 9 scholars most cited alongside Sam Scott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sam Scott Line = papers co-authored together Sam Scott links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Feature Engineering for Text Classification
1999200
2
Text Classification Using WordNet Hypernyms
1998128
3 199542
4 200640
5 201712
6
University of Sheffield TREC-9 Q&A System.
20009
7 20106
8
Strengths and limitations of using the Revised Elderly Person's Disability Scale (REPDS) as a research tool in a Scottish context.
19962
9 20102
10 20031
11
Metarepresentation in Philososphy and Psychology
20010
12 20190
13
Chimpanzee Theory of Mind: A Proposal from the Armchair
20010

About Sam Scott

Sam Scott is a scholar working on Experimental and Cognitive Psychology, Philosophy, History and Philosophy of Science, Artificial Intelligence and Developmental and Educational Psychology, having authored 13 papers that have together received 442 indexed citations. Recurring topics across this work include Philosophy and Theoretical Science (4 papers), Epistemology, Ethics, and Metaphysics (3 papers), Advanced Text Analysis Techniques (2 papers), Child and Animal Learning Development (2 papers), Philosophy and History of Science (2 papers), Topic Modeling (2 papers), Categorization, perception, and language (1 paper) and Expert finding and Q&A systems (1 paper). The work is most often cited by research in Artificial Intelligence (294 citations), Information Systems (145 citations), Software (13 citations), Signal Processing (28 citations) and Radiological and Ultrasound Technology (12 citations). Sam Scott has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stan Matwin, Gualtiero Piccinini, Anne E. Kazak, Charles D. Scher, Bret A. Boyer, Patricia Brophy, Robert Gaizauskas, L.B. Jerzykiewicz and Gail Gilchrist. Their work appears in journals such as Philosophy of Science, Behavioral and Brain Sciences, Canadian Journal of Philosophy, Children s Health Care and PubMed.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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