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Researcher · Sapienza University of Rome · Italy

Roberto Navigli

Roberto Navigli publishes mostly in Artificial Intelligence, Information Systems and Molecular Biology, on topics such as Natural Language Processing Techniques, Topic Modeling and Semantic Web and Ontologies.

ORCID 0000-0003-3831-9706 OpenAlex
World rank
#58,198
of 7,710,434 ranked researchers
Rank in Italy
#1,036
of 242,206
Works
377
Citations
19k
Citations per work
50.0
h-index
61
i10-index 163Top 0.5% in Artificial Intelligence
Roberto Navigli

What does Roberto Navigli research?

Roberto Navigli's work is mostly in Computer Science (87%), Biochemistry, Genetics and Molecular Biology (4%), Decision Sciences (2%).

Physical Sciences: 329 works · 87.2% of their workComputer Science: 329 works · 87.2% of their workArtificial Intelligence: 302 works · 80.2% of their workInformation Systems: 15 works · 4.0% of their workComputer Vision and Pattern Recognition: 11 works · 3.0% of their workEverything else: 24 works · 6.3% of their workLife Sciences: 13 works · 3.5% of their workBiochemistry, Genetics and Molecular Biology: 13 works · 3.5% of their workMolecular Biology: 13 works · 3.5% of their workSocial Sciences: 11 works · 3.0% of their workDecision Sciences: 6 works · 1.7% of their workManagement Science and Operations Research: 6 works · 1.7% of their workArts and Humanities: 5 works · 1.3% of their workLanguage and Linguistics: 5 works · 1.3% of their workTHEIR WORKRoberto Navigli377works
Life Sciences4%Physical Sciences87%Social Sciences3%

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 Science32987.2%
  2. Everything else246.3%
    1. Biochemistry, Genetics and Molecular Biology133.5%
    1. Decision Sciences61.7%
    2. Arts and Humanities51.3%
  1. 1Artificial Intelligence80% of their works
  2. 2Information Systems4% of their works
  3. 3Molecular Biology4% of their works
  4. 4Computer Vision and Pattern Recognition3% of their works
  5. 5Management Science and Operations Research2% of their works
  6. 6Language and Linguistics1% of their works

Research topics

Which keywords describe Roberto Navigli's research?

The keywords of their largest research topics: Neural Networks, Neural Machine Translation, Statistical Machine Translation, Machine Translation, Word Representation, Data Integration, Semantic Web and Linked Data.

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 20 words, with their numbers
  1. Neural Networks3263 topics
  2. Neural Machine Translation2771 topic
  3. Statistical Machine Translation2771 topic
  4. Machine Translation2541 topic
  5. Word Representation2541 topic
  6. Data Integration1603 topics
  7. Semantic Web1432 topics
  8. Linked Data1081 topic
  9. Ontology1081 topic
  10. Natural Language Processing882 topics
  11. Readability Assessment531 topic
  12. Text Simplification531 topic
  13. Markov Decision Processes371 topic
  14. Spoken Dialogue Systems371 topic
  15. Biomedical Ontologies351 topic
  16. Text Mining351 topic
  17. Automatic191 topic
  18. Extraction191 topic
  19. Data Cleaning171 topic
  20. Record Linkage171 topic

Where does Roberto Navigli work?

Roberto Navigli's main affiliation in the publication record is Sapienza University of Rome, Italy.

How many publications and citations does Roberto Navigli have?

OpenAlex counts 377 works and 18,858 citations for Roberto Navigli, an h-index of 61, ranking #58,198 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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