Yannis A. Guzman

502 total citations
16 papers, 411 citations indexed

About

Yannis A. Guzman is a scholar working on Control and Systems Engineering, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Yannis A. Guzman has authored 16 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 4 papers in Molecular Biology and 4 papers in Management Science and Operations Research. Recurrent topics in Yannis A. Guzman's work include Risk and Portfolio Optimization (4 papers), Probabilistic and Robust Engineering Design (3 papers) and Fault Detection and Control Systems (3 papers). Yannis A. Guzman is often cited by papers focused on Risk and Portfolio Optimization (4 papers), Probabilistic and Robust Engineering Design (3 papers) and Fault Detection and Control Systems (3 papers). Yannis A. Guzman collaborates with scholars based in United States, Greece and India. Yannis A. Guzman's co-authors include Christodoulos A. Floudas, Chris A. Kieslich, Alexander M. Niziolek, Melis Onel, Onur Onel, Efstratios N. Pistikopoulos, Dimitra Sakellari, Minas Arsenakis, Konstantinos Papadimitriou and Benjamin A. García and has published in prestigious journals such as PLoS ONE, Industrial & Engineering Chemistry Research and Proteins Structure Function and Bioinformatics.

In The Last Decade

Yannis A. Guzman

16 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yannis A. Guzman United States 12 157 87 67 55 50 16 411
Adrian Caspari Germany 15 385 2.5× 131 1.5× 69 1.3× 30 0.6× 25 588
Salih Emre Demirel United States 11 368 2.3× 166 1.9× 123 2.2× 72 1.4× 12 530
Max Mowbray United Kingdom 12 189 1.2× 58 0.7× 75 1.4× 39 0.8× 23 470
Effie Marcoulaki Greece 11 233 1.5× 57 0.7× 61 1.1× 74 1.5× 27 405
T. Hertzberg Norway 14 233 1.5× 110 1.3× 140 2.5× 81 1.6× 32 546
Joan Cordiner United Kingdom 11 96 0.6× 59 0.7× 65 1.2× 109 2.2× 30 402
Tibor Chován Hungary 13 120 0.8× 92 1.1× 283 5.1× 58 1.2× 48 733
Ishan Bajaj United States 10 81 0.5× 136 1.6× 114 2.1× 68 1.4× 15 336
Benjamin Omell United States 13 181 1.2× 271 3.1× 147 2.7× 38 0.8× 31 531

Countries citing papers authored by Yannis A. Guzman

Since Specialization
Citations

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

Fields of papers citing papers by Yannis A. Guzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yannis A. Guzman. 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 Yannis A. Guzman. The network helps show where Yannis A. Guzman may publish in the future.

Co-authorship network of co-authors of Yannis A. Guzman

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

All Works

16 of 16 papers shown
1.
Onel, Melis, Chris A. Kieslich, Yannis A. Guzman, & Efstratios N. Pistikopoulos. (2018). Simultaneous Fault Detection and Identification in Continuous Processes via nonlinear Support Vector Machine based Feature Selection. PubMed. 44. 2077–2082. 15 indexed citations
2.
Onel, Melis, Chris A. Kieslich, Yannis A. Guzman, Christodoulos A. Floudas, & Efstratios N. Pistikopoulos. (2018). Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection. Computers & Chemical Engineering. 115. 46–63. 73 indexed citations
3.
Guzman, Yannis A., Dimitra Sakellari, Konstantinos Papadimitriou, & Christodoulos A. Floudas. (2018). High‐throughput proteomic analysis of candidate biomarker changes in gingival crevicular fluid after treatment of chronic periodontitis. Journal of Periodontal Research. 53(5). 853–860. 24 indexed citations
4.
Onel, Melis, Chris A. Kieslich, Yannis A. Guzman, Christodoulos A. Floudas, & Efstratios N. Pistikopoulos. (2018). Reprint of: Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection. Computers & Chemical Engineering. 116. 503–520. 22 indexed citations
5.
Guzman, Yannis A., et al.. (2018). Natural Gas to Liquid Transportation Fuels under Uncertainty Using Robust Optimization. Industrial & Engineering Chemistry Research. 57(32). 11112–11129. 7 indexed citations
7.
Khoury, George, James B. Smadbeck, Chris A. Kieslich, et al.. (2017). Princeton_TIGRESS 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double‐blind predictions during the CASP11 experiment. Proteins Structure Function and Bioinformatics. 85(6). 1078–1098. 14 indexed citations
8.
Guzman, Yannis A., et al.. (2017). Generalized robust counterparts for constraints with bounded and unbounded uncertain parameters. Computers & Chemical Engineering. 116. 451–467. 10 indexed citations
9.
Kieslich, Chris A., Phanourios Tamamis, Yannis A. Guzman, Melis Onel, & Christodoulos A. Floudas. (2016). Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving Tropism. PLoS ONE. 11(2). e0148974–e0148974. 17 indexed citations
10.
11.
Niziolek, Alexander M., Onur Onel, Yannis A. Guzman, & Christodoulos A. Floudas. (2016). Biomass-Based Production of Benzene, Toluene, and Xylenes via Methanol: Process Synthesis and Deterministic Global Optimization. Energy & Fuels. 30(6). 4970–4998. 97 indexed citations
12.
Guzman, Yannis A.. (2016). Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery. 6 indexed citations
13.
Guzman, Yannis A., et al.. (2015). New a priori and a posteriori probabilistic bounds for robust counterpart optimization: I. Unknown probability distributions. Computers & Chemical Engineering. 84. 568–598. 38 indexed citations
14.
Guzman, Yannis A., M. M. Faruque Hasan, & Christodoulos A. Floudas. (2014). Performance of convex underestimators in a branch-and-bound framework. Optimization Letters. 10(2). 283–308. 5 indexed citations
15.
Guzman, Yannis A., Dimitra Sakellari, Minas Arsenakis, & Christodoulos A. Floudas. (2013). Proteomics for the discovery of biomarkers and diagnosis of periodontitis: a critical review. Expert Review of Proteomics. 11(1). 31–41. 24 indexed citations
16.
Baliban, Richard C., Dimitra Sakellari, Zukui Li, et al.. (2012). Discovery of biomarker combinations that predict periodontal health or disease with high accuracy from GCF samples based on high‐throughput proteomic analysis and mixed‐integer linear optimization. Journal Of Clinical Periodontology. 40(2). 131–139. 29 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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