Science Explorer Back to mapMap
Discussion
Researcher · Siena College · United States

Sharon Gower Small

Sharon Gower Small publishes mostly in Artificial Intelligence, Sociology and Political Science and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Chinese history and philosophy.

OpenAlex
World rank
#4,664,359
of 7,710,434 ranked researchers
Rank in United States
#1,230,714
of 1,627,098
Works
62
Citations
313
Citations per work
5.0
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Sharon Gower Small

What does Sharon Gower Small research?

Sharon Gower Small's work is mostly in Computer Science (49%), Social Sciences (10%), Arts and Humanities (4%).

Physical Sciences: 31 works · 49.4% of their workComputer Science: 31 works · 49.4% of their workArtificial Intelligence: 23 works · 37.7% of their workInformation Systems: 4 works · 6.5% of their workComputer Networks and Communications: 2 works · 2.6% of their workComputer Science Applications: 2 works · 2.6% of their workEverything else: 22 works · 35.7% of their workSocial Sciences: 9 works · 14.9% of their workSocial Sciences: 6 works · 10.4% of their workSociology and Political Science: 6 works · 10.4% of their workArts and Humanities: 3 works · 4.5% of their workPhilosophy: 3 works · 4.5% of their workTHEIR WORKSharon GowerSmall62works
Physical Sciences49%Social Sciences15%

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 Science3149.4%
  2. Everything else2235.7%
    1. Social Sciences610.4%
    2. Arts and Humanities34.5%
  1. 1Artificial Intelligence38% of their works
  2. 2Sociology and Political Science10% of their works
  3. 3Information Systems6% of their works
  4. 4Philosophy4% of their works
  5. 5Computer Networks and Communications3% of their works
  6. 6Computer Science Applications3% of their works

Research topics

Which keywords describe Sharon Gower Small's research?

The keywords of their largest research topics: Neural Networks, Information Retrieval, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, China and Religion.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 18 words, with their numbers
  1. Neural Networks222 topics
  2. Information Retrieval212 topics
  3. Machine Translation171 topic
  4. Word Representation171 topic
  5. Neural Machine Translation141 topic
  6. Statistical Machine Translation141 topic
  7. China111 topic
  8. Religion111 topic
  9. Markov Decision Processes91 topic
  10. Spoken Dialogue Systems91 topic
  11. Ontology61 topic
  12. Semantic Web61 topic
  13. Automatic51 topic
  14. Extraction51 topic
  15. Computational Thinking41 topic
  16. Programming Education41 topic
  17. Web Crawling41 topic
  18. Web Data Extraction41 topic

Where does Sharon Gower Small work?

Sharon Gower Small's main affiliation in the publication record is Siena College, United States.

How many publications and citations does Sharon Gower Small have?

OpenAlex counts 62 works and 313 citations for Sharon Gower Small, an h-index of 10, ranking #4,664,359 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

Ask a question or share a note about Sharon Gower Small. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.