Science Explorer Back to mapMap
Discussion
Researcher · University of the District of Columbia · United States

John C. Keegel

John C. Keegel publishes mostly in Statistics and Probability, Statistical and Nonlinear Physics and Management Science and Operations Research, on topics such as Advanced Statistical Methods and Models, Statistical Mechanics and Entropy and Random Matrices and Applications.

OpenAlex
World rank
#5,629,035
of 7,710,434 ranked researchers
Rank in United States
#1,406,721
of 1,627,098
Works
15
Citations
67
Citations per work
4.5
h-index
3
i10-index 1Top 97% in Statistics and Probability
John C. Keegel

What does John C. Keegel research?

John C. Keegel's work is mostly in Mathematics (33%), Computer Science (22%), Physics and Astronomy (11%).

Physical Sciences: 10 works · 66.6% of their workMathematics: 5 works · 33.3% of their workStatistics and Probability: 5 works · 33.3% of their workComputer Science: 3 works · 22.2% of their workArtificial Intelligence: 1 works · 8.3% of their workComputational Theory and Mathematics: 1 works · 8.3% of their workInformation Systems: 1 works · 5.6% of their workPhysics and Astronomy: 2 works · 11.1% of their workStatistical and Nonlinear Physics: 2 works · 11.1% of their workEverything else: 4 works · 25.1% of their workSocial Sciences: 1 works · 8.3% of their workDecision Sciences: 1 works · 8.3% of their workManagement Science and Operations Research: 1 works · 8.3% of their workTHEIR WORKJohn C. Keegel15works
Physical Sciences67%Social Sciences8%

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. Mathematics533.3%
    2. Computer Science322.2%
    3. Physics and Astronomy211.1%
  2. Everything else425.1%
    1. Decision Sciences18.3%
  1. 1Statistics and Probability33% of their works
  2. 2Statistical and Nonlinear Physics11% of their works
  3. 3Management Science and Operations Research8% of their works
  4. 4Computational Theory and Mathematics8% of their works
  5. 5Artificial Intelligence8% of their works
  6. 6Information Systems6% of their works

Research topics

Which keywords describe John C. Keegel's research?

The keywords of their largest research topics: Principal Component Analysis, Multicollinearity, Regression Analysis, Long-Range Interactions, Nonextensive Statistical Mechanics, Eigenvalues, Neural Networks and Random Matrix Theory.

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 18 words, with their numbers
  1. Principal Component Analysis82 topics
  2. Multicollinearity51 topic
  3. Regression Analysis51 topic
  4. Long-Range Interactions41 topic
  5. Nonextensive Statistical Mechanics41 topic
  6. Eigenvalues31 topic
  7. Neural Networks32 topics
  8. Random Matrix Theory31 topic
  9. Forecasting21 topic
  10. Fuzzy Logic21 topic
  11. Residuated Lattices21 topic
  12. Time Series21 topic
  13. Backpropagation Learning11 topic
  14. Central Chemoreception11 topic
  15. Genetics11 topic
  16. Race11 topic
  17. Respiratory Rhythm11 topic
  18. Self-Organizing Maps11 topic

Where does John C. Keegel work?

John C. Keegel's main affiliation in the publication record is University of the District of Columbia, United States.

How many publications and citations does John C. Keegel have?

OpenAlex counts 15 works and 67 citations for John C. Keegel, an h-index of 3, ranking #5,629,035 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.

Discussion

Ask a question or share a note about John C. Keegel. Posts are plain text and can be reported.