Resit Unal

42 papers receiving 918 citations

Peers

Resit Unal
Comparison fields: 5 of 111
  • Management Science and Operations Research 344
  • Safety, Risk, Reliability and Quality 232
  • Statistics, Probability and Uncertainty 126
  • Industrial and Manufacturing Engineering 153
  • Control and Systems Engineering 320
Replace Pratyush Sen with:
Pratyush Sen United Kingdom
Nestor Michelena United States
Aart van Harten Netherlands
Marin D. Guenov United Kingdom
V.N.A. Naikan India
Guo‐Niu Zhu Singapore
James T. Luxhøj United States
J.B. Bowles United States
Guangquan Huang China
V. Ebrahimipour Iran
Resit Unal relative to Pratyush Sen United Kingdom Pratyush Sen's profile →
Citations per field
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Pratyush Sen · 1×
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 2003312
2
TAGUCHI APPROACH TO DESIGN OPTIMIZATION FOR QUALITY AND COST: AN OVERVIEW
1990147
3 199858
4 200856
5 199541
6 199940
7 199527
8 199226
9 200526
10 202024
11 199424
12 199123
13 200022
14 199214
15 199313
16 199411
17 201110
18
Response Surface Model Building and Multidisciplinary Optimization Using Overdetermined D-Optimal Designs
199810
19 199710
20 19929

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 1.0k 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 (344 citations), Safety, Risk, Reliability and Quality (232 citations), Statistics, Probability and Uncertainty (126 citations), Industrial and Manufacturing Engineering (153 citations) and Control and Systems Engineering (320 citations). Resit Unal has collaborated with scholars based in United States, Ghana and Türkiye. Frequent co-authors include Charles B. Keating, Ghaith Rabadi, Roger A. Lepsch, Andres Sousa‐Poza, William Peterson, David Dryer, Ralph V. Rogers, Robert R. Safford, Douglas O. Stanley and John Olds. Their work appears in journals such as Engineering Management Journal, Journal of Spacecraft and Rockets, Quality Engineering, Journal of Engineering Education and System Dynamics Review.

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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