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Researcher · London Metropolitan University · United Kingdom

Richard S. Forsyth

Richard S. Forsyth publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Computer Science Applications, on topics such as Natural Language Processing Techniques, Authorship Attribution and Profiling and History of Computing Technologies.

OpenAlex
World rank
#3,295,766
of 7,710,434 ranked researchers
Rank in United Kingdom
#220,447
of 367,258
Works
36
Citations
193
Citations per work
5.4
h-index
7
i10-index 7Top 65% in Artificial Intelligence
Richard S. Forsyth

What does Richard S. Forsyth research?

Richard S. Forsyth's work is mostly in Computer Science (45%), Mathematics (4%), Arts and Humanities (4%).

Physical Sciences: 18 works · 49.5% of their workComputer Science: 16 works · 45.3% of their workArtificial Intelligence: 11 works · 30.5% of their workComputational Theory and Mathematics: 3 works · 7.4% of their workComputer Science Applications: 3 works · 7.4% of their workMathematics: 2 works · 4.2% of their workTheoretical Computer Science: 2 works · 4.2% of their workEverything else: 16 works · 43.1% of their workSocial Sciences: 2 works · 4.2% of their workArts and Humanities: 2 works · 4.2% of their workHistory and Philosophy of Science: 2 works · 4.2% of their workLife Sciences: 1 works · 3.2% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.2% of their workMolecular Biology: 1 works · 3.2% of their workTHEIR WORKRichard S.Forsyth36works
Life Sciences3%Physical Sciences50%Social Sciences4%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1645.3%
    2. Mathematics24.2%
  2. Everything else1643.1%
    1. Arts and Humanities24.2%
    1. Biochemistry, Genetics and Molecular Biology13.2%
  1. 1Artificial Intelligence30% of their works
  2. 2Computational Theory and Mathematics7% of their works
  3. 3Computer Science Applications7% of their works
  4. 4Theoretical Computer Science4% of their works
  5. 5History and Philosophy of Science4% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Richard S. Forsyth's research?

The keywords of their largest research topics: Text Classification, Neural Networks, Authorship Attribution, Computing, Historical Sources, History, Mathematics Education and Neural Machine Translation.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Text Classification72 topics
  2. Neural Networks52 topics
  3. Authorship Attribution41 topic
  4. Computing41 topic
  5. Historical Sources41 topic
  6. History41 topic
  7. Mathematics Education41 topic
  8. Neural Machine Translation41 topic
  9. Statistical Machine Translation41 topic
  10. Stylometry41 topic
  11. Algorithmic Information Theory31 topic
  12. Computability31 topic
  13. Formal Verification31 topic
  14. Machine Translation31 topic
  15. Static Analysis31 topic
  16. Word Representation31 topic
  17. Backpropagation Learning21 topic
  18. Self-Organizing Maps21 topic

Where does Richard S. Forsyth work?

Richard S. Forsyth's main affiliation in the publication record is London Metropolitan University, United Kingdom.

How many publications and citations does Richard S. Forsyth have?

OpenAlex counts 36 works and 193 citations for Richard S. Forsyth, an h-index of 7, ranking #3,295,766 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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