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Researcher · The University of Adelaide · Australia

Menasha Thilakaratne

Menasha Thilakaratne publishes mostly in Artificial Intelligence, Molecular Biology and General Health Professions, on topics such as Biomedical Text Mining and Ontologies, Semantic Web and Ontologies and Advanced Text Analysis Techniques.

ORCID 0000-0003-4956-6171 OpenAlex
World rank
#2,271,347
of 7,710,434 ranked researchers
Rank in Australia
#65,167
of 140,210
Works
23
Citations
283
Citations per work
12.3
h-index
7
i10-index 7Top 65% in Artificial Intelligence
Menasha Thilakaratne

What does Menasha Thilakaratne research?

Menasha Thilakaratne's work is mostly in Computer Science (40%), Biochemistry, Genetics and Molecular Biology (9%), Health Professions (8%).

Physical Sciences: 9 works · 40.3% of their workComputer Science: 9 works · 40.3% of their workArtificial Intelligence: 8 works · 34.3% of their workComputer Science Applications: 1 works · 6.0% of their workEverything else: 8 works · 34.2% of their workHealth Sciences: 3 works · 12.0% of their workHealth Professions: 2 works · 7.5% of their workGeneral Health Professions: 2 works · 7.5% of their workMedicine: 1 works · 4.5% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.5% of their workLife Sciences: 2 works · 9.0% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 9.0% of their workMolecular Biology: 2 works · 9.0% of their workSocial Sciences: 1 works · 4.5% of their workPsychology: 1 works · 4.5% of their workSocial Psychology: 1 works · 4.5% of their workTHEIR WORKMenashaThilakaratne23works
Life Sciences9%Physical Sciences40%Health Sciences12%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 Science940.3%
  2. Everything else834.2%
    1. Health Professions27.5%
    2. Medicine14.5%
    1. Biochemistry, Genetics and Molecular Biology29.0%
    1. Psychology14.5%
  1. 1Artificial Intelligence34% of their works
  2. 2Molecular Biology9% of their works
  3. 3General Health Professions8% of their works
  4. 4Computer Science Applications6% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Social Psychology4% of their works

Research topics

Which keywords describe Menasha Thilakaratne's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Text Mining, Neural Networks, Biomedical Literature, Biomedical Ontologies, Linked Data and Machine Learning.

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 21 words, with their numbers
  1. Data Integration112 topics
  2. Semantic Web112 topics
  3. Text Mining82 topics
  4. Neural Networks72 topics
  5. Biomedical Literature61 topic
  6. Biomedical Ontologies61 topic
  7. Linked Data51 topic
  8. Machine Learning52 topics
  9. Ontology51 topic
  10. Automatic41 topic
  11. Extraction41 topic
  12. Community Health31 topic
  13. Educational Data Mining31 topic
  14. Human Metapneumovirus31 topic
  15. Learning Analytics31 topic
  16. Machine Translation31 topic
  17. Pediatrics31 topic
  18. Respiratory Syncytial Virus31 topic
  19. Word Representation31 topic
  20. Opinion Mining21 topic
  21. Sentiment Analysis21 topic

Where does Menasha Thilakaratne work?

Menasha Thilakaratne's main affiliation in the publication record is The University of Adelaide, Australia.

How many publications and citations does Menasha Thilakaratne have?

OpenAlex counts 23 works and 283 citations for Menasha Thilakaratne, an h-index of 7, ranking #2,271,347 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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