S. P. Harrison

555 citations
4 papers · 221 · h-index 4

Impact in

    • Natural Language Processing Techniques
    • Logic, programming, and type systems
    • Logic, Reasoning, and Knowledge
    • Topic Modeling
    • Speech and dialogue systems
    • Semantic Web and Ontologies
    • Syntax, Semantics, Linguistic Variation

Papers in

    • Natural Language Processing Techniques 2
    • Topic Modeling 2
    • Logic, programming, and type systems 1
    • AI-based Problem Solving and Planning 1
    • Software Engineering Research 1

S. P. Harrison

4 papers receiving 166 citations

Peers

S. P. Harrison
Comparison fields: 5 of 34
  • Artificial Intelligence 183
  • Language and Linguistics 39
  • Linguistics and Language 15
  • Computational Theory and Mathematics 41
  • Software 9
Replace Sharon Cote with:
Sharon Cote United States
Kenneth R. Beesley France
George Kiraz United Kingdom
Éric Villemonte de la Clergerie France
Jürgen Wedekind United States
Wojciech Skut Germany
Klaus Netter Germany
Karen Jensen United States
John T. Maxwell United States
Scott Farrar United States
S. P. Harrison relative to Sharon Cote United States Sharon Cote's profile →
Citations per field
00.5×
Sharon Cote · 1×
Citations per year

Countries citing papers authored by S. P. Harrison

Since Specialization
Citations

This map shows the geographic impact of S. P. Harrison'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 S. P. Harrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. P. Harrison more than expected).

Fields of papers citing papers by S. P. Harrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. P. Harrison. 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 S. P. Harrison. The network helps show where S. P. Harrison may publish in the future.

Co-authors

The 2 scholars most cited alongside S. P. Harrison, 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 S. P. Harrison Line = papers co-authored together S. P. Harrison links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About S. P. Harrison

S. P. Harrison is a scholar working on Artificial Intelligence, Information Systems, Linguistics and Language, Cultural Studies and Language and Linguistics, having authored 4 papers that have together received 221 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Logic, programming, and type systems (1 paper), Linguistic Variation and Morphology (1 paper), AI-based Problem Solving and Planning (1 paper), Software Engineering Research (1 paper), Syntax, Semantics, Linguistic Variation (1 paper) and Language and cultural evolution (1 paper). The work is most often cited by research in Artificial Intelligence (183 citations), Language and Linguistics (39 citations), Linguistics and Language (15 citations), Computational Theory and Mathematics (41 citations) and Software (9 citations). S. P. Harrison has collaborated with scholars based in Australia. Frequent co-authors include T. Mark Ellison and Cara MacNish. Their work appears in journals such as Language, Computational Linguistics and Oceanic Linguistics.

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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