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Researcher · FIT Consulting (Italy) · Italy

Daniel M. Tom

Daniel M. Tom publishes mostly in Artificial Intelligence, Statistics and Probability and Human-Computer Interaction, on topics such as Explainable Artificial Intelligence (XAI), Digital Communication and Language and Linguistics, Language Diversity, and Identity.

ORCID 0000-0003-4853-2498 OpenAlex
World rank
#5,311,093
of 7,710,434 ranked researchers
Rank in Italy
#178,039
of 242,206
Works
16
Citations
22
Citations per work
1.4
h-index
3
i10-index 0Top 95% in Artificial Intelligence
Daniel M. Tom

What does Daniel M. Tom research?

Daniel M. Tom's work is mostly in Computer Science (39%), Mathematics (11%), Arts and Humanities (7%).

Physical Sciences: 8 works · 49.9% of their workComputer Science: 6 works · 39.2% of their workArtificial Intelligence: 4 works · 25.0% of their workHuman-Computer Interaction: 1 works · 7.1% of their workInformation Systems: 1 works · 7.1% of their workMathematics: 2 works · 10.7% of their workStatistics and Probability: 2 works · 10.7% of their workEverything else: 6 works · 39.4% of their workSocial Sciences: 1 works · 7.1% of their workArts and Humanities: 1 works · 7.1% of their workLanguage and Linguistics: 1 works · 7.1% of their workLife Sciences: 1 works · 3.6% of their workAgricultural and Biological Sciences: 1 works · 3.6% of their workSoil Science: 1 works · 3.6% of their workTHEIR WORKDaniel M. Tom16works
Life Sciences4%Physical Sciences50%Social Sciences7%

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 Science639.2%
    2. Mathematics210.7%
  2. Everything else639.4%
    1. Arts and Humanities17.1%
    1. Agricultural and Biological Sciences13.6%
  1. 1Artificial Intelligence25% of their works
  2. 2Statistics and Probability11% of their works
  3. 3Human-Computer Interaction7% of their works
  4. 4Information Systems7% of their works
  5. 5Language and Linguistics7% of their works
  6. 6Soil Science4% of their works

Research topics

Which keywords describe Daniel M. Tom's research?

The keywords of their largest research topics: Computer-Mediated Communication, Emoticons, Interpretable Models, Language Contact, Linguistic Borrowing, Machine Learning Interpretability, Drosophila and Multivariate Calibration.

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 16 words, with their numbers
  1. Computer-Mediated Communication21 topic
  2. Emoticons21 topic
  3. Interpretable Models21 topic
  4. Language Contact21 topic
  5. Linguistic Borrowing21 topic
  6. Machine Learning Interpretability21 topic
  7. Drosophila11 topic
  8. Multivariate Calibration11 topic
  9. Near-Infrared Spectroscopy11 topic
  10. Neural Machine Translation11 topic
  11. Neural Networks11 topic
  12. Neuroscience11 topic
  13. Risk Management11 topic
  14. Self-Organizing Maps11 topic
  15. Statistical Machine Translation11 topic
  16. Vulnerability11 topic

Where does Daniel M. Tom work?

Daniel M. Tom's main affiliation in the publication record is FIT Consulting (Italy), Italy.

How many publications and citations does Daniel M. Tom have?

OpenAlex counts 16 works and 22 citations for Daniel M. Tom, an h-index of 3, ranking #5,311,093 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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