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Researcher · Binus University · Indonesia

Kevin Alexander

Kevin Alexander publishes mostly in Information Systems, Cardiology and Cardiovascular Medicine and Artificial Intelligence, on topics such as Amyloidosis: Diagnosis, Treatment, Outcomes, Information Retrieval and Data Mining and Parathyroid Disorders and Treatments.

OpenAlex
World rank
#4,685,224
of 7,710,434 ranked researchers
Rank in Indonesia
#34,961
of 148,020
Works
57
Citations
80
Citations per work
1.4
h-index
4
i10-index 2Top 69% in Information Systems
Kevin Alexander

What does Kevin Alexander research?

Kevin Alexander's work is mostly in Computer Science (15%), Medicine (6%), Social Sciences (5%).

Everything else: 38 works · 66.2% of their workPhysical Sciences: 13 works · 22.8% of their workComputer Science: 9 works · 15.4% of their workInformation Systems: 6 works · 10.3% of their workArtificial Intelligence: 3 works · 5.1% of their workEngineering: 2 works · 3.7% of their workAerospace Engineering: 2 works · 3.7% of their workEnvironmental Science: 2 works · 3.7% of their workWater Science and Technology: 2 works · 3.7% of their workHealth Sciences: 3 works · 5.9% of their workMedicine: 3 works · 5.9% of their workCardiology and Cardiovascular Medicine: 3 works · 5.9% of their workSocial Sciences: 3 works · 5.1% of their workSocial Sciences: 3 works · 5.1% of their workSociology and Political Science: 3 works · 5.1% of their workTHEIR WORKKevin Alexander57works
Physical Sciences23%Health Sciences6%Social Sciences5%

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 else3866.2%
    1. Computer Science915.4%
    2. Engineering23.7%
    3. Environmental Science23.7%
    1. Medicine35.9%
    1. Social Sciences35.1%
  1. 1Information Systems10% of their works
  2. 2Cardiology and Cardiovascular Medicine6% of their works
  3. 3Artificial Intelligence5% of their works
  4. 4Sociology and Political Science5% of their works
  5. 5Water Science and Technology4% of their works
  6. 6Aerospace Engineering4% of their works

Research topics

Which keywords describe Kevin Alexander's research?

The keywords of their largest research topics: Machine Learning, Data Mining, Deep Learning, Cardiac Amyloidosis, FGF23, Information Retrieval, phosphate and Social Network Extraction.

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 19 words, with their numbers
  1. Machine Learning83 topics
  2. Data Mining62 topics
  3. Deep Learning52 topics
  4. Cardiac Amyloidosis41 topic
  5. FGF2341 topic
  6. Information Retrieval41 topic
  7. Social Network Extraction41 topic
  8. Transthyretin41 topic
  9. phosphate41 topic
  10. ALPR31 topic
  11. Automatic License Plate Recognition31 topic
  12. Learning31 topic
  13. Multimedia31 topic
  14. Agriculture21 topic
  15. Decision Support System21 topic
  16. Expert Systems21 topic
  17. Food21 topic
  18. Opinion Mining21 topic
  19. Sentiment Analysis21 topic

Where does Kevin Alexander work?

Kevin Alexander's main affiliation in the publication record is Binus University, Indonesia.

How many publications and citations does Kevin Alexander have?

OpenAlex counts 57 works and 80 citations for Kevin Alexander, an h-index of 4, ranking #4,685,224 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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