D. Finkel
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
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- Advanced Multi-Objective Optimization Algorithms
- Optimization and Variational Analysis
- Numerical Methods and Algorithms
Papers in
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- Advanced Optimization Algorithms Research 5
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- Metaheuristic Optimization Algorithms Research 3
- Neural Networks and Applications 1
- Co-authors
- C. T. Kelley (5 shared papers)Charles Audet (1 shared paper)Andrew Booker (1 shared paper)Joerg Gablonsky (1 shared paper)Tamara G. Kolda (1 shared paper)Genetha A. Gray (1 shared paper)Christopher E. Kees (1 shared paper)J. E. Dennis (1 shared paper)
- Journals
- SIAM Review (1 paper)Advances in Water Resources (1 paper)Gynecologic and Obstetric Investigation (1 paper)Journal of Global Optimization (1 paper)NCSU Libraries Repository (North Carolina State University Libraries) (3 papers)
- Partner nations
- United StatesCanada
In The Last Decade
D. Finkel
7 papers receiving 356 citations
Peers
Comparison fields: 5 of 87
- Numerical Analysis 110
- Computational Theory and Mathematics 155
- Statistics, Probability and Uncertainty 29
- Artificial Intelligence 117
- Control and Systems Engineering 77
Countries citing papers authored by D. Finkel
This map shows the geographic impact of D. Finkel'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 D. Finkel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Finkel more than expected).
Fields of papers citing papers by D. Finkel
This network shows the impact of papers produced by D. Finkel. 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 D. Finkel. The network helps show where D. Finkel may publish in the future.
Co-authors
The 17 scholars most cited alongside D. Finkel, 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 | Direct optimization algorithm user guide | 2003 | 126 |
| 2 | 2008 | 77 | |
| 3 | 2006 | 71 | |
| 4 | 2004 | 55 | |
| 5 | Global optimization with the direct algorithm | 2005 | 55 |
| 6 | 2004 | 12 | |
| 7 | 1999 | 7 | |
| 8 | 2006 | 0 |
About D. Finkel
D. Finkel is a scholar working on Numerical Analysis, Artificial Intelligence, Civil and Structural Engineering, Computational Mechanics and Computational Theory and Mathematics, having authored 8 papers that have together received 403 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (5 papers), Metaheuristic Optimization Algorithms Research (3 papers), Material Properties and Applications (1 paper), Engineering Applied Research (1 paper), Neural Networks and Applications (1 paper), Groundwater flow and contamination studies (1 paper), Matrix Theory and Algorithms (1 paper) and Optimization and Variational Analysis (1 paper). The work is most often cited by research in Numerical Analysis (110 citations), Computational Theory and Mathematics (155 citations), Statistics, Probability and Uncertainty (29 citations), Artificial Intelligence (117 citations) and Control and Systems Engineering (77 citations). D. Finkel has collaborated with scholars based in United States and Canada. Frequent co-authors include C. T. Kelley, Charles Audet, Andrew Booker, Joerg Gablonsky, Tamara G. Kolda, Genetha A. Gray, Christopher E. Kees, J. E. Dennis, Kathleen Fowler and Matthew W. Farthing. Their work appears in journals such as SIAM Review, Advances in Water Resources, Gynecologic and Obstetric Investigation, Journal of Global Optimization and NCSU Libraries Repository (North Carolina State University Libraries).
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.