Resit Unal

68 total papers · 1.3k total citations
46 papers, 910 citations indexed

About

Resit Unal is a scholar working on Management Science and Operations Research, Safety, Risk, Reliability and Quality and Aerospace Engineering. According to data from OpenAlex, Resit Unal has authored 46 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Science and Operations Research, 13 papers in Safety, Risk, Reliability and Quality and 11 papers in Aerospace Engineering. Recurrent topics in Resit Unal's work include Optimal Experimental Design Methods (13 papers), Technology Assessment and Management (13 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). Resit Unal is often cited by papers focused on Optimal Experimental Design Methods (13 papers), Technology Assessment and Management (13 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). Resit Unal collaborates with scholars based in United States, Ghana and Türkiye. Resit Unal's co-authors include Charles B. Keating, Roger A. Lepsch, Ghaith Rabadi, Andres Sousa‐Poza, William Peterson, Robert R. Safford, Ralph V. Rogers, David Dryer, Douglas O. Stanley and John Olds and has published in prestigious journals such as Reliability Engineering & System Safety, Journal of Engineering Education and Journal of Aircraft.

In The Last Decade

Resit Unal

41 papers receiving 831 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Resit Unal 299 279 212 149 133 46 910
Celso Marcelo Franklin Lapa 189 0.6× 223 0.8× 327 1.5× 253 1.7× 47 0.4× 61 1.1k
Alejandro Salado 196 0.7× 407 1.5× 306 1.4× 45 0.3× 90 0.7× 96 827
Guangquan Huang 412 1.4× 97 0.3× 88 0.4× 43 0.3× 42 0.3× 26 748
Kevin Forsberg 111 0.4× 393 1.4× 168 0.8× 53 0.4× 108 0.8× 43 941
Mansooreh Mollaghasemi 318 1.1× 110 0.4× 44 0.2× 66 0.4× 273 2.1× 68 1.0k
A. Srividya 111 0.4× 196 0.7× 233 1.1× 43 0.3× 35 0.3× 70 846
Sanford Friedenthal 194 0.6× 493 1.8× 248 1.2× 25 0.2× 211 1.6× 31 980
Steven F. Wojtkiewicz 177 0.6× 102 0.4× 75 0.4× 99 0.7× 43 0.3× 42 1.0k
Marin D. Guenov 86 0.3× 76 0.3× 58 0.3× 85 0.6× 273 2.1× 54 755
Sangeeta Pant 113 0.4× 105 0.4× 141 0.7× 40 0.3× 64 0.5× 44 876

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-authorship network of co-authors of Resit Unal

This figure shows the co-authorship network connecting the top 25 collaborators of Resit Unal. A scholar is included among the top collaborators of Resit Unal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Resit Unal. Resit Unal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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