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Researcher · Kobe Shoin Women's University · Japan

Philip Spaelti

Philip Spaelti publishes mostly in Language and Linguistics, Experimental and Cognitive Psychology and Artificial Intelligence, on topics such as Phonetics and Phonology Research, Natural Language Processing Techniques and Speech Recognition and Synthesis.

OpenAlex
World rank
#5,250,242
of 7,710,434 ranked researchers
Rank in Japan
#171,659
of 383,136
Works
15
Citations
227
Citations per work
15.1
h-index
4
i10-index 3Top 59% in Language and Linguistics
Philip Spaelti

What does Philip Spaelti research?

Philip Spaelti's work is mostly in Arts and Humanities (26%), Psychology (24%), Computer Science (21%).

Social Sciences: 9 works · 58.8% of their workArts and Humanities: 4 works · 26.5% of their workLanguage and Linguistics: 4 works · 26.5% of their workPsychology: 4 works · 23.5% of their workExperimental and Cognitive Psychology: 4 works · 23.5% of their workSocial Sciences: 1 works · 8.8% of their workLinguistics and Language: 1 works · 8.8% of their workPhysical Sciences: 3 works · 20.6% of their workComputer Science: 3 works · 20.6% of their workArtificial Intelligence: 3 works · 20.6% of their workEverything else: 2 works · 14.8% of their workLife Sciences: 0 works · 2.9% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 2.9% of their workGenetics: 0 works · 2.9% of their workHealth Sciences: 0 works · 2.9% of their workMedicine: 0 works · 2.9% of their workSurgery: 0 works · 2.9% of their workTHEIR WORKPhilip Spaelti15works
Life Sciences3%Physical Sciences21%Health Sciences3%Social Sciences59%

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. Arts and Humanities426.5%
    2. Psychology423.5%
    3. Social Sciences18.8%
    1. Computer Science320.6%
  3. Everything else214.8%
    1. Biochemistry, Genetics and Molecular Biology02.9%
    1. Medicine02.9%
  1. 1Language and Linguistics26% of their works
  2. 2Experimental and Cognitive Psychology24% of their works
  3. 3Artificial Intelligence21% of their works
  4. 4Linguistics and Language9% of their works
  5. 5Surgery3% of their works
  6. 6Genetics3% of their works

Research topics

Which keywords describe Philip Spaelti's research?

The keywords of their largest research topics: Speech Perception, Phonetics, Second Language Learning, Neural Machine Translation, Statistical Machine Translation, Acoustic Modeling, Deep Neural Networks and Indo-European.

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 17 words, with their numbers
  1. Speech Perception92 topics
  2. Phonetics71 topic
  3. Second Language Learning71 topic
  4. Neural Machine Translation41 topic
  5. Statistical Machine Translation41 topic
  6. Acoustic Modeling21 topic
  7. Deep Neural Networks21 topic
  8. Indo-European21 topic
  9. Language Change21 topic
  10. Linguistics21 topic
  11. Sociolinguistic Variation21 topic
  12. Cleft Lip11 topic
  13. Fuzzy Logic11 topic
  14. Genetics11 topic
  15. Markov Decision Processes11 topic
  16. Residuated Lattices11 topic
  17. Spoken Dialogue Systems11 topic

Where does Philip Spaelti work?

Philip Spaelti's main affiliation in the publication record is Kobe Shoin Women's University, Japan.

How many publications and citations does Philip Spaelti have?

OpenAlex counts 15 works and 227 citations for Philip Spaelti, an h-index of 4, ranking #5,250,242 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

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