Michael P. Windham

1.3k citations
25 papers · 915 · h-index 15

Impact in

    • Data Management and Algorithms
    • Advanced Clustering Algorithms Research
    • Bayesian Methods and Mixture Models
    • Fuzzy Logic and Control Systems
    • Neural Networks and Applications

Papers in

Michael P. Windham

22 papers receiving 833 citations

Peers

Michael P. Windham
Comparison fields: 5 of 116
  • Signal Processing 191
  • Artificial Intelligence 515
  • Statistics and Probability 132
  • Computer Vision and Pattern Recognition 217
  • Computational Theory and Mathematics 120
Replace Laveen N. Kanal with:
Laveen N. Kanal United States
Nickolay T. Trendafilov United Kingdom
Athanasios Kehagias Greece
Kuo-Lung Wu Taiwan
John Stutz United States
Raghu Krisnapuram United States
G.G. Walter United States
Frank Chung-Hoon Rhee South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Michael P. Windham

Since Specialization
Citations

This map shows the geographic impact of Michael P. Windham's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael P. Windham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Windham more than expected).

Fields of papers citing papers by Michael P. Windham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Windham. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael P. Windham. The network helps show where Michael P. Windham may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael P. Windham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael P. Windham Line = papers co-authored together Michael P. Windham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982161
2 1981121
3 198782
4 198579
5 199270
6 199764
7 199550
8 198340
9 199539
10 198236
11 197432
12 198029
13
Numerical comparison of the RFCM and AP algorithms for clustering relational data
199126
14 198721
15
Fecal Coliform Release Studies and Development of a Preliminary Nonpoint Source Transport Model for Indicator Bacteria
198316
16 198514
17 199214
18 198310
19 19796
20 19832

About Michael P. Windham

Michael P. Windham is a scholar working on Artificial Intelligence, Environmental Engineering, Water Science and Technology, Signal Processing and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 915 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (10 papers), Data Management and Algorithms (5 papers), Bayesian Methods and Mixture Models (5 papers), Face and Expression Recognition (3 papers), Hydrological Forecasting Using AI (3 papers), Groundwater flow and contamination studies (3 papers), Water resources management and optimization (3 papers) and Water Quality and Pollution Assessment (2 papers). The work is most often cited by research in Signal Processing (191 citations), Artificial Intelligence (515 citations), Statistics and Probability (132 citations), Computer Vision and Pattern Recognition (217 citations) and Computational Theory and Mathematics (120 citations). Michael P. Windham has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James C. Bezdek, Adele Cutler, Richard J. Hathaway, David S. Bowles, Cyrus A. Wilson, Wei Li, Ralph Howard, Y. Attikiouzel, Brad A. Finney and Robert Ehrlich. Their work appears in journals such as Journal of Classification, Water Resources Research, Journal of the American Statistical Association, Fuzzy Sets and Systems and Pacific Journal of Mathematics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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