Science Explorer Back to mapMap
Discussion
Researcher · Utah State University · United States

Michael P. Windham

Michael P. Windham publishes mostly in Artificial Intelligence, Environmental Engineering and Water Science and Technology, on topics such as Bayesian Methods and Mixture Models, Advanced Clustering Algorithms Research and Data Management and Algorithms.

OpenAlex
World rank
#1,033,090
of 7,710,434 ranked researchers
Rank in United States
#336,200
of 1,627,098
Works
37
Citations
1.4k
Citations per work
36.5
h-index
17
i10-index 19Top 18% in Artificial Intelligence
Michael P. Windham

What does Michael P. Windham research?

Michael P. Windham's work is mostly in Computer Science (35%), Environmental Science (18%), Mathematics (8%).

Physical Sciences: 22 works · 60.5% of their workComputer Science: 13 works · 35.2% of their workArtificial Intelligence: 11 works · 29.7% of their workSignal Processing: 2 works · 5.5% of their workEnvironmental Science: 7 works · 17.6% of their workEnvironmental Engineering: 3 works · 8.8% of their workWater Science and Technology: 3 works · 8.8% of their workMathematics: 3 works · 7.7% of their workStatistics and Probability: 3 works · 7.7% of their workEverything else: 13 works · 35.1% of their workSocial Sciences: 2 works · 4.4% of their workDecision Sciences: 2 works · 4.4% of their workManagement Science and Operations Research: 2 works · 4.4% of their workTHEIR WORKMichael P.Windham37works
Physical Sciences60%Social Sciences4%

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 Science1335.2%
    2. Environmental Science717.6%
    3. Mathematics37.7%
  2. Everything else1335.1%
    1. Decision Sciences24.4%
  1. 1Artificial Intelligence30% of their works
  2. 2Environmental Engineering9% of their works
  3. 3Water Science and Technology9% of their works
  4. 4Statistics and Probability8% of their works
  5. 5Signal Processing6% of their works
  6. 6Management Science and Operations Research4% of their works

Research topics

Which keywords describe Michael P. Windham's research?

The keywords of their largest research topics: Clustering Algorithms, Clustering, Mixture Models, Cluster Validation, K-means, Water Resources, Climate Change and Support Vector Machines.

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 20 words, with their numbers
  1. Clustering Algorithms152 topics
  2. Clustering111 topic
  3. Mixture Models111 topic
  4. Cluster Validation101 topic
  5. K-means101 topic
  6. Water Resources93 topics
  7. Climate Change62 topics
  8. Support Vector Machines62 topics
  9. GPS Trajectories51 topic
  10. Trajectory Data Mining51 topic
  11. Groundwater Flow41 topic
  12. Transport Modeling41 topic
  13. Dimensionality Reduction31 topic
  14. Face Recognition31 topic
  15. Hydrological Modeling31 topic
  16. Hydrology31 topic
  17. Machine Learning31 topic
  18. Model Evaluation31 topic
  19. Reservoir Operation31 topic
  20. Water Demand31 topic

Where does Michael P. Windham work?

Michael P. Windham's main affiliation in the publication record is Utah State University, United States.

How many publications and citations does Michael P. Windham have?

OpenAlex counts 37 works and 1,350 citations for Michael P. Windham, an h-index of 17, ranking #1,033,090 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 Michael P. Windham. Posts are plain text and can be reported.