Michael W. Trosset

4.2k total citations · 1 hit paper
73 papers, 3.0k citations indexed

About

Michael W. Trosset is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Artificial Intelligence. According to data from OpenAlex, Michael W. Trosset has authored 73 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 14 papers in Numerical Analysis and 13 papers in Artificial Intelligence. Recurrent topics in Michael W. Trosset's work include Advanced Multi-Objective Optimization Algorithms (18 papers), Advanced Optimization Algorithms Research (13 papers) and Dementia and Cognitive Impairment Research (10 papers). Michael W. Trosset is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (18 papers), Advanced Optimization Algorithms Research (13 papers) and Dementia and Cognitive Impairment Research (10 papers). Michael W. Trosset collaborates with scholars based in United States, Puerto Rico and Russia. Michael W. Trosset's co-authors include Virginia Torczon, Robert Michael Lewis, Kathryn A. Bayles, Andrew Booker, Paul D. Frank, Davide Serafini, J. E. Dennis, Cheryl K. Tomoeda, Michael Thiemann and Hoshin V. Gupta and has published in prestigious journals such as Cancer Research, Water Resources Research and Clinical Cancer Research.

In The Last Decade

Michael W. Trosset

71 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A rigorous framework for optimization of expensive functions by surrogates

1999 697 citations Virginia Torczon, Michael W. Trosset et al. profile →

Peers

Michael W. Trosset

CTM

AI

CN

SPU

WST

Gavin C. Cawley United Kingdom

S.R. Gunn United Kingdom

Nicola L. C. Talbot United Kingdom

Michael E. Tipping United Kingdom

Babak Nadjar Araabi Iran

Shotaro Sano Japan

G. Barrie Wetherill United Kingdom

Gérard Dreyfus France

Harald Stögbauer Germany

Hua‐Liang Wei United Kingdom

Gavin C. Cawley United Kingdom

Michael W. Trosset

153 ×0.2

CTM

1.1k ×2.5

AI

246 ×0.6

CN

66 ×0.2

SPU

166 ×0.5

WST

Citations per year, relative to Michael W. Trosset Michael W. Trosset (= 1×) peers Gavin C. Cawley

Countries citing papers authored by Michael W. Trosset

Since Specialization

Citations

This map shows the geographic impact of Michael W. Trosset'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 W. Trosset with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Trosset more than expected).

Fields of papers citing papers by Michael W. Trosset

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Trosset. 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 W. Trosset. The network helps show where Michael W. Trosset may publish in the future.

Co-authorship network of co-authors of Michael W. Trosset

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Trosset. A scholar is included among the top collaborators of Michael W. Trosset 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 W. Trosset. Michael W. Trosset is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Amos, Brandon, et al.. (2014). Fortran 95 implementation of QNSTOP for global and stochastic optimization. 15. 5 indexed citations

2.

Easterling, David R., et al.. (2012). Direct search and stochastic optimization applied to two nonconvex nonsmooth problems. IEEE International Conference on High Performance Computing, Data, and Analytics. 5. 1 indexed citations

3.

Trosset, Michael W.. (2009). An Introduction to Statistical Inference and Its Applications with R. 19 indexed citations

4.

Trosset, Michael W., Carey E. Priebe, Youngser Park, & Michael I. Miller. (2008). Semisupervised learning from dissimilarity data. Computational Statistics & Data Analysis. 52(10). 4643–4657. 15 indexed citations

5.

Malyarenko, Dariya, William E. Cooke, E. R. Tracy, et al.. (2006). Deconvolution filters to enhance resolution of dense time‐of‐flight survey spectra in the time‐lag optimization range. Rapid Communications in Mass Spectrometry. 20(11). 1661–1669. 7 indexed citations

6.

Cazares, Lisa H., Michael D. Ward, Michie Hisada, et al.. (2005). Discrete serum protein signatures discriminate between human retrovirus associated hematologic and neurologic disease. Cancer Research. 65. 1131–1131. 1 indexed citations

7.

Semmes, O. John, Lisa H. Cazares, Elizabeth M. Maloney, et al.. (2005). Discrete serum protein signatures discriminate between human retrovirus-associated hematologic and neurologic disease. Leukemia. 19(7). 1229–1238. 28 indexed citations

8.

Kincaid, Rex K., et al.. (2005). Approximate Solutions of Continuous Dispersion Problems. Annals of Operations Research. 136(1). 65–80. 14 indexed citations

9.

Johnson, Charles R., et al.. (2004). On the diagonal scaling of Euclidean distance matrices to doubly stochastic matrices. Linear Algebra and its Applications. 397. 253–264. 8 indexed citations

10.

Trosset, Michael W.. (2001). What is Simulated Annealing?. Optimization and Engineering. 2(2). 201–213. 25 indexed citations

11.

Lewis, Robert Michael, Virginia Torczon, & Michael W. Trosset. (2000). Direct search methods: then and now. Journal of Computational and Applied Mathematics. 124(1-2). 191–207. 465 indexed citations

12.

Trosset, Michael W., et al.. (2000). Designing and Analyzing Computational Experiments for Global Optimization. Rice Digital Scholarship Archive (Rice University). 5 indexed citations

13.

Trosset, Michael W., et al.. (2000). Correcting an Inconsistent System of Linear Inequalities by Nonlinear Programming. Rice Digital Scholarship Archive (Rice University). 6 indexed citations

14.

Trosset, Michael W.. (1997). Computing Distances Between Convex Sets and Subsets of the Positive Semidefinite Matrices. Rice Digital Scholarship Archive (Rice University). 6 indexed citations

15.

Trosset, Michael W.. (1996). I Know It When I See It: Toward a Definition of Direct Search Methods. Journal of Sports Sciences. 37(12). 1411–1419. 15 indexed citations

16.

Trosset, Michael W. & Alfred W. Kaszniak. (1996). Measures of deficit unawareness for predicted performance experiments. Journal of the International Neuropsychological Society. 2(4). 315–322. 35 indexed citations

17.

Bayles, Kathryn A., et al.. (1996). Category and Attribute Knowledge Deterioration in Alzheimer's Disease. Brain and Language. 52(3). 536–550. 28 indexed citations

18.

Bayles, Kathryn A. & Michael W. Trosset. (1992). Confrontation naming in Alzheimer's patients: Relation to disease severity.. Psychology and Aging. 7(2). 197–203. 7 indexed citations

19.

Bayles, Kathryn A., Cheryl K. Tomoeda, & Michael W. Trosset. (1992). Relation of linguistic communication abilities of Alzheimer's patients to stage of disease. Brain and Language. 42(4). 454–472. 97 indexed citations

20.

Bayles, Kathryn A., Cheryl K. Tomoeda, & Michael W. Trosset. (1990). Naming and categorical knowledge in Alzheimer's disease: The process of semantic memory deterioration. Brain and Language. 39(4). 498–510. 81 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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