Michael P. Windham

1.3k total citations
25 papers, 915 citations indexed

About

Michael P. Windham is a scholar working on Artificial Intelligence, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Michael P. Windham has authored 25 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Environmental Engineering and 6 papers in Water Science and Technology. Recurrent topics in Michael P. Windham's work include Advanced Clustering Algorithms Research (10 papers), Bayesian Methods and Mixture Models (5 papers) and Data Management and Algorithms (5 papers). Michael P. Windham is often cited by papers focused on Advanced Clustering Algorithms Research (10 papers), Bayesian Methods and Mixture Models (5 papers) and Data Management and Algorithms (5 papers). Michael P. Windham collaborates with scholars based in United States, United Kingdom and Germany. Michael P. Windham's co-authors include James C. Bezdek, Adele Cutler, Richard J. Hathaway, David S. Bowles, Ralph Howard, Cyrus A. Wilson, Y. Attikiouzel, Wei Li, Brad A. Finney and Robert Ehrlich and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Water Resources Research.

In The Last Decade

Michael P. Windham

22 papers receiving 833 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael P. Windham United States 15 515 217 191 132 120 25 915
Laveen N. Kanal United States 20 774 1.5× 528 2.4× 197 1.0× 108 0.8× 147 1.2× 86 1.8k
Athanasios Kehagias Greece 23 649 1.3× 214 1.0× 219 1.1× 45 0.3× 163 1.4× 72 1.3k
Nickolay T. Trendafilov United Kingdom 16 212 0.4× 211 1.0× 200 1.0× 210 1.6× 80 0.7× 52 1.2k
Raghu Krisnapuram United States 3 544 1.1× 406 1.9× 166 0.9× 43 0.3× 104 0.9× 3 1.0k
Kuo-Lung Wu Taiwan 12 770 1.5× 489 2.3× 180 0.9× 89 0.7× 105 0.9× 18 1.2k
Frank Chung-Hoon Rhee South Korea 15 703 1.4× 239 1.1× 81 0.4× 198 1.5× 175 1.5× 41 1.0k
John Stutz United States 8 539 1.0× 116 0.5× 204 1.1× 39 0.3× 95 0.8× 16 922
Marie-Hélène Masson France 17 786 1.5× 267 1.2× 196 1.0× 205 1.6× 262 2.2× 41 1.2k
Stanley A. Shanies United States 5 342 0.7× 152 0.7× 107 0.6× 36 0.3× 83 0.7× 6 632
Rudolf Scitovski Croatia 18 201 0.4× 288 1.3× 50 0.3× 108 0.8× 92 0.8× 89 1.0k

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-authorship network of co-authors of Michael P. Windham

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Windham. A scholar is included among the top collaborators of Michael P. Windham based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael P. Windham. Michael P. Windham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bezdek, James C., Wei Li, Y. Attikiouzel, & Michael P. Windham. (1997). A geometric approach to cluster validity for normal mixtures. Soft Computing. 1(4). 166–179. 64 indexed citations
2.
Windham, Michael P.. (1995). Robustifying Model Fitting. Journal of the Royal Statistical Society Series B (Statistical Methodology). 57(3). 599–609. 50 indexed citations
3.
Dubes, Richard C., et al.. (1992). Book reviews. Journal of Classification. 9(2). 291–306.
4.
Windham, Michael P. & Adele Cutler. (1992). Information Ratios for Validating Mixture Analyses. Journal of the American Statistical Association. 87(420). 1188–1188. 14 indexed citations
5.
Windham, Michael P. & Adele Cutler. (1992). Information Ratios for Validating Mixture Analyses. Journal of the American Statistical Association. 87(420). 1188–1192. 70 indexed citations
6.
Bezdek, James C., Richard J. Hathaway, & Michael P. Windham. (1991). Numerical comparison of the RFCM and AP algorithms for clustering relational data. Pattern Recognition. 24(8). 783–791. 26 indexed citations
7.
Dubes, Richard C. & Michael P. Windham. (1990). CSNA-90 Program Classification and Clustering: Perspectives and Prospects June 21 – 23 Utah State University Logan, Utah, USA. Journal of Classification. 7(2). 317–319.
8.
Windham, Michael P., J. Wesley Hutchinson, Shizuhiko Nishisato, et al.. (1988). Book reviews. Journal of Classification. 5(1). 105–154. 1 indexed citations
9.
Bezdek, James C., Richard J. Hathaway, Ralph Howard, Cyrus A. Wilson, & Michael P. Windham. (1987). Local convergence analysis of a grouped variable version of coordinate descent. Journal of Optimization Theory and Applications. 54(3). 471–477. 82 indexed citations
10.
Windham, Michael P., et al.. (1985). Cluster analysis to improve food classification within commodity groups. Journal of the American Dietetic Association. 85(10). 1306–1314. 14 indexed citations
11.
Finney, Brad A., David S. Bowles, & Michael P. Windham. (1983). Reply [to “Comment on “Random differential equations in river water quality modeling” by Brad A. Finney et al.”]. Water Resources Research. 19(5). 1337–1338. 1 indexed citations
12.
Springer, Everett P., et al.. (1983). Fecal Coliform Release Studies and Development of a Preliminary Nonpoint Source Transport Model for Indicator Bacteria. Digital Commons - USU (Utah State University). 16 indexed citations
13.
Malone, Ronald F., David S. Bowles, Michael P. Windham, & William J. Grenney. (1983). Comparison of techniques for assessing effects of loading uncertainty upon a long term phosphorous model. Applied Mathematical Modelling. 7(1). 11–18. 10 indexed citations
14.
Yao, JingTao, Theodore V. Galambos, I. R. Goodman, et al.. (1983). NAFIP-1. Panel discussion on introduction of fuzzy sets to undergraduate engineering and science curricula. International Journal of Man-Machine Studies. 19(1). 5–7. 2 indexed citations
15.
Windham, Michael P.. (1983). Geometrical fuzzy clustering algorithms. Fuzzy Sets and Systems. 10(1-3). 271–279. 40 indexed citations
16.
Finney, Brad A., David S. Bowles, & Michael P. Windham. (1982). Random differential equations in river water quality modeling. Water Resources Research. 18(1). 122–134. 36 indexed citations
17.
Windham, Michael P.. (1981). Cluster validity for fuzzy clustering algorithms. Fuzzy Sets and Systems. 5(2). 177–185. 121 indexed citations
18.
Malone, Ronald F., David S. Bowles, William J. Grenney, & Michael P. Windham. (1979). Stochastic Analysis for Water Quality. The Medical Journal of Australia. 2(3). 73–4. 6 indexed citations
19.
Finney, Brad A., David S. Bowles, & Michael P. Windham. (1979). Random Differential Equations in Water Quality Modeling. Digital Commons - USU (Utah State University). 1 indexed citations
20.
Windham, Michael P., et al.. (1974). Finitely generatedF-algebras with applications to Stein manifolds. Pacific Journal of Mathematics. 51(2). 459–465. 32 indexed citations

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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