Enar A. Tunç

16 total papers · 479 total citations
14 papers, 370 citations indexed

About

Enar A. Tunç is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, Enar A. Tunç has authored 14 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Industrial and Manufacturing Engineering, 3 papers in Management Science and Operations Research and 2 papers in Strategy and Management. Recurrent topics in Enar A. Tunç's work include Scheduling and Optimization Algorithms (9 papers), Advanced Manufacturing and Logistics Optimization (4 papers) and Assembly Line Balancing Optimization (4 papers). Enar A. Tunç is often cited by papers focused on Scheduling and Optimization Algorithms (9 papers), Advanced Manufacturing and Logistics Optimization (4 papers) and Assembly Line Balancing Optimization (4 papers). Enar A. Tunç collaborates with scholars based in United States and Türkiye. Enar A. Tunç's co-authors include Jatinder N.D. Gupta, Ray V. Montagno, Nazim Uddin Ahmed, John C. Goodale, Randall S. Sexton, Jorge Haddock, Philip R. P. Coelho and James E. McClure and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Research and International Journal of Operations & Production Management.

In The Last Decade

Enar A. Tunç

14 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
Enar A. Tunç 261 85 64 54 30 14 370
Martin Feldmann 252 1.0× 116 1.4× 77 1.2× 74 1.4× 24 0.8× 12 376
Roger M. Kerr 220 0.8× 119 1.4× 86 1.3× 48 0.9× 61 2.0× 19 436
Afshin Mehrsai 207 0.8× 113 1.3× 78 1.2× 19 0.4× 24 0.8× 16 339
Kitae Shin 157 0.6× 133 1.6× 109 1.7× 24 0.4× 57 1.9× 10 360
Paul M. Bobrowski 356 1.4× 90 1.1× 21 0.3× 42 0.8× 45 1.5× 13 400
Tomás Eloy Salais-Fierro 236 0.9× 74 0.9× 88 1.4× 24 0.4× 20 0.7× 12 339
Bret Wagner 149 0.6× 165 1.9× 65 1.0× 27 0.5× 32 1.1× 21 355
P. S. Sundararaghavan 286 1.1× 78 0.9× 25 0.4× 124 2.3× 22 0.7× 24 381
Maciek Nowak 309 1.2× 67 0.8× 65 1.0× 18 0.3× 32 1.1× 19 436
Ana María Sarmiento 203 0.8× 156 1.8× 96 1.5× 48 0.9× 29 1.0× 16 399

Countries citing papers authored by Enar A. Tunç

Since Specialization
Citations

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

Fields of papers citing papers by Enar A. Tunç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enar A. Tunç. 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 Enar A. Tunç. The network helps show where Enar A. Tunç may publish in the future.

Co-authorship network of co-authors of Enar A. Tunç

This figure shows the co-authorship network connecting the top 25 collaborators of Enar A. Tunç. A scholar is included among the top collaborators of Enar A. Tunç 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 Enar A. Tunç. Enar A. Tunç 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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2026