D. Finkel

553 citations
8 papers · 403 indexed · h-index 7

Impact in

Papers in

D. Finkel

7 papers receiving 356 citations

Peers

D. Finkel
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
Replace Andrew R. Conn with:
Andrew R. Conn United States
Peter Spellucci Germany
Frédéric Messine France
Thomas M. Liebling Switzerland
Oleg Burdakov Sweden
Muhammad Asif Jan Pakistan
A.I. Zečević United States
Martin Schlüter Germany
Zhonghai Ding United States
P. Kaelo Botswana
D. Finkel relative to Andrew R. Conn United States Andrew R. Conn's profile →
Citations per field
00.5×3.7×
Andrew R. Conn · 1×
Citations per year

Countries citing papers authored by D. Finkel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with D. Finkel Line = papers co-authored together D. Finkel links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200877
2 200671
3 20060
4
Global optimization with the direct algorithm
200555
5 200412
6 200455
7
Direct optimization algorithm user guide
2003126
8 19997

About D. Finkel

D. Finkel is a scholar working on Numerical Analysis, General Materials Science, Computational Theory and Mathematics, Mathematical Physics and Computational Mechanics, 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), Heat Transfer and Optimization (1 paper), Optimization and Variational Analysis (1 paper), Sparse and Compressive Sensing Techniques (1 paper), Aeroelasticity and Vibration Control (1 paper), Engineering Applied Research (1 paper) and Neural Networks and Applications (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, Cass T. Miller, Matthew W. Farthing, Joerg Gablonsky, Kathleen Fowler, Andrew Booker, J. E. Dennis, Charles Audet, Tamara G. Kolda and Christopher E. Kees. 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.

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