C. A. Floudas
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
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- Advanced Control Systems Optimization
- Process Optimization and Integration
Papers in
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- Protein Structure and Dynamics 2
- Glycosylation and Glycoproteins Research 1
- DNA and Nucleic Acid Chemistry 1
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- Advanced Optimization Algorithms Research 3
- Co-authors
- William R. Esposito (1 shared paper)V. Visweswaran (1 shared paper)Phanourios Tamamis (1 shared paper)John L. Klepeis (1 shared paper)
- Journals
- Journal of Computational Chemistry (2 papers)Journal of Global Optimization (2 papers)Biophysical Journal (1 paper)Journal of Optimization Theory and Applications (1 paper)Computers & Chemical Engineering (1 paper)
- Partner nations
- United StatesCzechiaUnited Kingdom
In The Last Decade
C. A. Floudas
7 papers receiving 401 citations
Peers
Comparison fields: 5 of 84
- Numerical Analysis 119
- Control and Systems Engineering 224
- Industrial and Manufacturing Engineering 62
- Computational Theory and Mathematics 94
- Virology 20
Countries citing papers authored by C. A. Floudas
This map shows the geographic impact of C. A. Floudas'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 C. A. Floudas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. A. Floudas more than expected).
Fields of papers citing papers by C. A. Floudas
This network shows the impact of papers produced by C. A. Floudas. 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 C. A. Floudas. The network helps show where C. A. Floudas may publish in the future.
Co-authors
The 4 scholars most cited alongside C. A. Floudas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 126 | |
| 2 | 2001 | 96 | |
| 3 | 1993 | 84 | |
| 4 | 2013 | 46 | |
| 5 | 2001 | 40 | |
| 6 | 1999 | 22 | |
| 7 | 1996 | 9 |
About C. A. Floudas
C. A. Floudas is a scholar working on Molecular Biology, Numerical Analysis, Control and Systems Engineering, Artificial Intelligence and Virology, having authored 7 papers that have together received 423 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (3 papers), Protein Structure and Dynamics (2 papers), Advanced Control Systems Optimization (1 paper), Water resources management and optimization (1 paper), Glycosylation and Glycoproteins Research (1 paper), Mass Spectrometry Techniques and Applications (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Advanced Control Systems Design (1 paper). The work is most often cited by research in Numerical Analysis (119 citations), Control and Systems Engineering (224 citations), Industrial and Manufacturing Engineering (62 citations), Computational Theory and Mathematics (94 citations) and Virology (20 citations). C. A. Floudas has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include William R. Esposito, V. Visweswaran, Phanourios Tamamis and John L. Klepeis. Their work appears in journals such as Journal of Computational Chemistry, Journal of Global Optimization, Biophysical Journal, Journal of Optimization Theory and Applications and Computers & Chemical Engineering.
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.