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Researcher · Morningside College · United States

John Shelton Lawrence

John Shelton Lawrence publishes mostly in Artificial Intelligence, Sociology and Political Science and Political Science and International Relations, on topics such as Multi-Agent Systems and Negotiation, Religion and Society Interactions and Topic Modeling.

ORCID 0000-0003-1162-097X OpenAlex
World rank
#734,414
of 7,710,434 ranked researchers
Rank in United States
#247,200
of 1,627,098
Works
225
Citations
2.5k
Citations per work
11.3
h-index
24
i10-index 51Top 8.5% in Artificial Intelligence
John Shelton Lawrence

What does John Shelton Lawrence research?

John Shelton Lawrence's work is mostly in Computer Science (30%), Social Sciences (18%), Arts and Humanities (11%).

Everything else: 93 works · 41.4% of their workPhysical Sciences: 67 works · 29.9% of their workComputer Science: 67 works · 29.9% of their workArtificial Intelligence: 58 works · 25.8% of their workInformation Systems: 9 works · 4.1% of their workSocial Sciences: 65 works · 28.7% of their workSocial Sciences: 39 works · 17.5% of their workSociology and Political Science: 22 works · 9.9% of their workPolitical Science and International Relations: 17 works · 7.6% of their workArts and Humanities: 25 works · 11.2% of their workPhilosophy: 14 works · 6.0% of their workLiterature and Literary Theory: 12 works · 5.2% of their workTHEIR WORKJohn SheltonLawrence225works
Physical Sciences30%Social Sciences29%

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. Everything else9341.4%
    1. Computer Science6729.9%
    1. Social Sciences3917.5%
    2. Arts and Humanities2511.2%
  1. 1Artificial Intelligence26% of their works
  2. 2Sociology and Political Science10% of their works
  3. 3Political Science and International Relations8% of their works
  4. 4Philosophy6% of their works
  5. 5Literature and Literary Theory5% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe John Shelton Lawrence's research?

The keywords of their largest research topics: Agent-Based Modeling, Multi-Agent Systems, Nationalism, Description Logics, Knowledge Representation, Religion, Secularism and Neural Networks.

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 19 words, with their numbers
  1. Agent-Based Modeling351 topic
  2. Multi-Agent Systems351 topic
  3. Nationalism322 topics
  4. Description Logics292 topics
  5. Knowledge Representation292 topics
  6. Religion211 topic
  7. Secularism211 topic
  8. Neural Networks201 topic
  9. Ontology201 topic
  10. Semantic Web201 topic
  11. Word Representation201 topic
  12. Neural Machine Translation131 topic
  13. Statistical Machine Translation131 topic
  14. American founding111 topic
  15. Code Clone Detection111 topic
  16. Constitutional government111 topic
  17. Refactoring111 topic
  18. Answer Set Programming91 topic
  19. Modal Logic91 topic

Where does John Shelton Lawrence work?

John Shelton Lawrence's main affiliation in the publication record is Morningside College, United States.

How many publications and citations does John Shelton Lawrence have?

OpenAlex counts 225 works and 2,533 citations for John Shelton Lawrence, an h-index of 24, ranking #734,414 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.

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