C.D. Perttunen
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
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- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Advanced Multi-Objective Optimization Algorithms 5
-
- Data Management and Algorithms 2
- Co-authors
- B.E. Stuckman (6 shared papers)Donald R. Jones (2 shared papers)John S. Usher (1 shared paper)
- Journals
- Journal of Global Optimization (1 paper)Journal of Optimization Theory and Applications (1 paper)IEEE Transactions on Systems Man and Cybernetics (1 paper)American Control Conference (1 paper)
- Partner nations
- United States
In The Last Decade
C.D. Perttunen
10 papers receiving 1.3k citations
C.D. Perttunen's Hit Papers
Peers
Comparison fields: 5 of 129
- Numerical Analysis 221
- Computational Theory and Mathematics 504
- Statistics, Probability and Uncertainty 126
- Management Science and Operations Research 191
- Artificial Intelligence 361
Countries citing papers authored by C.D. Perttunen
This map shows the geographic impact of C.D. Perttunen'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.D. Perttunen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.D. Perttunen more than expected).
Fields of papers citing papers by C.D. Perttunen
This network shows the impact of papers produced by C.D. Perttunen. 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.D. Perttunen. The network helps show where C.D. Perttunen may publish in the future.
Co-authors
The 3 scholars most cited alongside C.D. Perttunen, 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 | Lipschitzian optimization without the Lipschitz constant Hit paper breakdown → | 1993 | 1321 |
| 2 | 1990 | 10 | |
| 3 | Global optimization using nonparametric statistics | 1991 | 7 |
| 4 | 2003 | 5 | |
| 5 | 1992 | 4 | |
| 6 | 2003 | 4 | |
| 7 | 2002 | 4 | |
| 8 | 2003 | 3 | |
| 9 | 2002 | 2 | |
| 10 | 2002 | 2 | |
| 11 | Simultaneous Force, Torque, Position, and Orientation Control of a Robot Manipulator on a Constrained Surface Incorporating Force Sensor Feedback | 1987 | 1 |
About C.D. Perttunen
C.D. Perttunen is a scholar working on Computational Theory and Mathematics, Signal Processing, Artificial Intelligence, Numerical Analysis and Control and Systems Engineering, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (5 papers), Data Management and Algorithms (2 papers), Neural Networks and Applications (2 papers), Advanced Optimization Algorithms Research (2 papers), Iterative Methods for Nonlinear Equations (2 papers), Computational Geometry and Mesh Generation (2 papers), Advanced Electrical Measurement Techniques (1 paper) and Fire Detection and Safety Systems (1 paper). The work is most often cited by research in Numerical Analysis (221 citations), Computational Theory and Mathematics (504 citations), Statistics, Probability and Uncertainty (126 citations), Management Science and Operations Research (191 citations) and Artificial Intelligence (361 citations). C.D. Perttunen has collaborated with scholars based in United States. Frequent co-authors include B.E. Stuckman, Donald R. Jones and John S. Usher. Their work appears in journals such as Journal of Global Optimization, Journal of Optimization Theory and Applications, IEEE Transactions on Systems Man and Cybernetics and American Control Conference.
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.