Resit Unal

42 papers receiving 840 citations

Peers

Resit Unal
Comparison fields: 5 of 108
  • Management Science and Operations Research 300
  • Safety, Risk, Reliability and Quality 214
  • Statistics, Probability and Uncertainty 117
  • Industrial and Manufacturing Engineering 138
  • Control and Systems Engineering 280
Replace Pratyush Sen with:
Pratyush Sen United Kingdom
Nestor Michelena United States
V.N.A. Naikan India
Marin D. Guenov United Kingdom
Guo‐Niu Zhu Singapore
Guangquan Huang China
V. Ebrahimipour Iran
James T. Luxhøj United States
J.B. Bowles United States
Yan Ran China
Resit Unal relative to Pratyush Sen United Kingdom Pratyush Sen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Resit Unal

Since Specialization
Citations

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

Fields of papers citing papers by Resit Unal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Resit Unal. 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 Resit Unal. The network helps show where Resit Unal may publish in the future.

Co-authors

The 25 scholars most cited alongside Resit Unal, 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 Resit Unal Line = papers co-authored together Resit Unal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003265
2
TAGUCHI APPROACH TO DESIGN OPTIMIZATION FOR QUALITY AND COST: AN OVERVIEW
1990137
3 199856
4 200853
5 199939
6 199537
7 199526
8 200525
9 202024
10 199223
11 199423
12 200022
13 199120
14 199213
15 199312
16 199411
17 19929
18 19949
19
Response Surface Model Building Using Orthogonal Arrays for Computer Experiments
19979
20
Response Surface Model Building and Multidisciplinary Optimization Using Overdetermined D-Optimal Designs
19989

About Resit Unal

Resit Unal is a scholar working on Management Science and Operations Research, Safety, Risk, Reliability and Quality, Aerospace Engineering, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 46 papers that have together received 921 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (13 papers), Technology Assessment and Management (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Rocket and propulsion systems research (9 papers), Manufacturing Process and Optimization (8 papers), Probabilistic and Robust Engineering Design (8 papers), Spacecraft and Cryogenic Technologies (7 papers) and Spacecraft Design and Technology (5 papers). The work is most often cited by research in Management Science and Operations Research (300 citations), Safety, Risk, Reliability and Quality (214 citations), Statistics, Probability and Uncertainty (117 citations), Industrial and Manufacturing Engineering (138 citations) and Control and Systems Engineering (280 citations). Resit Unal has collaborated with scholars based in United States, Ghana and Türkiye. Frequent co-authors include Charles B. Keating, Roger A. Lepsch, Ghaith Rabadi, Andres Sousa‐Poza, David Dryer, Ralph V. Rogers, William Peterson, Robert R. Safford, Douglas O. Stanley and John Olds. Their work appears in journals such as Engineering Management Journal, Journal of Spacecraft and Rockets, Journal of Engineering Education, International Journal of Critical Infrastructures and Quality 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.

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