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Researcher · Tabor College · Australia

J. M.

J. M. publishes mostly in Artificial Intelligence, Management Science and Operations Research and Health Information Management, on topics such as Impact of AI and Big Data on Business and Society, Mobile Health and mHealth Applications and Artificial Intelligence in Healthcare.

ORCID 0000-0002-3012-3859 OpenAlex
World rank
#6,526,840
of 7,710,434 ranked researchers
Rank in Australia
#133,198
of 140,210
Works
17
Citations
13
Citations per work
0.8
h-index
2
i10-index 0Top 98% in Artificial Intelligence
J. M.

What does J. M. research?

J. M.'s work is mostly in Computer Science (12%), Decision Sciences (9%), Engineering (7%).

Everything else: 9 works · 53.4% of their workPhysical Sciences: 5 works · 30.3% of their workComputer Science: 2 works · 11.6% of their workArtificial Intelligence: 2 works · 11.6% of their workEngineering: 1 works · 7.0% of their workBiomedical Engineering: 1 works · 7.0% of their workPhysics and Astronomy: 1 works · 7.0% of their workNuclear and High Energy Physics: 1 works · 7.0% of their workEnvironmental Science: 1 works · 4.7% of their workGlobal and Planetary Change: 1 works · 4.7% of their workSocial Sciences: 2 works · 9.3% of their workDecision Sciences: 2 works · 9.3% of their workManagement Science and Operations Research: 2 works · 9.3% of their workHealth Sciences: 1 works · 7.0% of their workHealth Professions: 1 works · 7.0% of their workHealth Information Management: 1 works · 7.0% of their workTHEIR WORKJ. M.17works
Physical Sciences30%Health Sciences7%Social Sciences9%

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. Everything else953.4%
    1. Computer Science211.6%
    2. Engineering17.0%
    3. Physics and Astronomy17.0%
    4. Environmental Science14.7%
    1. Decision Sciences29.3%
    1. Health Professions17.0%
  1. 1Artificial Intelligence12% of their works
  2. 2Management Science and Operations Research9% of their works
  3. 3Health Information Management7% of their works
  4. 4Biomedical Engineering7% of their works
  5. 5Nuclear and High Energy Physics7% of their works
  6. 6Global and Planetary Change5% of their works

Research topics

Which keywords describe J. M.'s research?

The keywords of their largest research topics: Big Data Analytics, Machine Learning, Artificial Intelligence, Internet of Things, Deep Learning, Healthcare, Medical Diagnosis and mHealth.

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 19 words, with their numbers
  1. Big Data Analytics52 topics
  2. Machine Learning43 topics
  3. Artificial Intelligence31 topic
  4. Internet of Things31 topic
  5. Deep Learning22 topics
  6. Healthcare21 topic
  7. Medical Diagnosis21 topic
  8. Mobile Health21 topic
  9. mHealth21 topic
  10. Anomaly Detection11 topic
  11. Brain-Computer Interfaces11 topic
  12. Cortical Networks11 topic
  13. EEG Analysis11 topic
  14. Fuzzy Logic Systems11 topic
  15. Histopathology Images11 topic
  16. Medical Image Analysis11 topic
  17. Neuronal Oscillations11 topic
  18. Type-2 Fuzzy Sets11 topic
  19. Unsupervised11 topic

Where does J. M. work?

J. M.'s main affiliation in the publication record is Tabor College, Australia.

How many publications and citations does J. M. have?

OpenAlex counts 17 works and 13 citations for J. M., an h-index of 2, ranking #6,526,840 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.

Other researchers named J. M.

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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