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Researcher · Thomson Reuters (United States) · United States

Frank Schilder

Frank Schilder publishes mostly in Artificial Intelligence, Political Science and International Relations and Computer Networks and Communications, on topics such as Topic Modeling, Natural Language Processing Techniques and Semantic Web and Ontologies.

ORCID 0000-0001-8227-5099 OpenAlex
World rank
#447,770
of 7,710,434 ranked researchers
Rank in United States
#157,346
of 1,627,098
Works
89
Citations
1.9k
Citations per work
21.4
h-index
22
i10-index 39Top 10% in Artificial Intelligence
Frank Schilder

What does Frank Schilder research?

Frank Schilder's work is mostly in Computer Science (65%), Social Sciences (7%), Arts and Humanities (3%).

Physical Sciences: 57 works · 64.6% of their workComputer Science: 57 works · 64.6% of their workArtificial Intelligence: 51 works · 57.2% of their workComputer Networks and Communications: 4 works · 4.5% of their workInformation Systems: 3 works · 2.9% of their workEverything else: 20 works · 22.2% of their workSocial Sciences: 12 works · 13.2% of their workSocial Sciences: 7 works · 7.4% of their workPolitical Science and International Relations: 7 works · 7.4% of their workArts and Humanities: 3 works · 2.9% of their workLanguage and Linguistics: 3 works · 2.9% of their workDecision Sciences: 3 works · 2.9% of their workManagement Science and Operations Research: 3 works · 2.9% of their workTHEIR WORKFrank Schilder89works
Physical Sciences65%Social Sciences13%

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 Science5764.6%
  2. Everything else2022.2%
    1. Social Sciences77.4%
    2. Arts and Humanities32.9%
    3. Decision Sciences32.9%
  1. 1Artificial Intelligence57% of their works
  2. 2Political Science and International Relations7% of their works
  3. 3Computer Networks and Communications4% of their works
  4. 4Language and Linguistics3% of their works
  5. 5Management Science and Operations Research3% of their works
  6. 6Information Systems3% of their works

Research topics

Which keywords describe Frank Schilder's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Artificial Intelligence, Ontology and Semantic Web.

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 Networks462 topics
  2. Machine Translation381 topic
  3. Word Representation381 topic
  4. Neural Machine Translation371 topic
  5. Statistical Machine Translation371 topic
  6. Artificial Intelligence242 topics
  7. Ontology211 topic
  8. Semantic Web211 topic
  9. Legal Technology181 topic
  10. Predictive181 topic
  11. Markov Decision Processes101 topic
  12. Spoken Dialogue Systems101 topic
  13. Automatic81 topic
  14. Extraction81 topic
  15. Agent-Based Modeling61 topic
  16. Constraint Optimization61 topic
  17. Distributed Algorithms61 topic
  18. Multi-Agent Systems61 topic

Where does Frank Schilder work?

Frank Schilder's main affiliation in the publication record is Thomson Reuters (United States), United States.

How many publications and citations does Frank Schilder have?

OpenAlex counts 89 works and 1,903 citations for Frank Schilder, an h-index of 22, ranking #447,770 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.

Other researchers named Frank Schilder

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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