M. Duran Toksarı

1.2k total citations
32 papers, 941 citations indexed

About

M. Duran Toksarı is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, M. Duran Toksarı has authored 32 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Industrial and Manufacturing Engineering, 9 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in M. Duran Toksarı's work include Scheduling and Optimization Algorithms (21 papers), Advanced Manufacturing and Logistics Optimization (13 papers) and Optimization and Search Problems (9 papers). M. Duran Toksarı is often cited by papers focused on Scheduling and Optimization Algorithms (21 papers), Advanced Manufacturing and Logistics Optimization (13 papers) and Optimization and Search Problems (9 papers). M. Duran Toksarı collaborates with scholars based in Türkiye, Australia and Kuwait. M. Duran Toksarı's co-authors include Ertan Güner, Ömer Faruk Baykoç, Selçuk Kürşat İşleyen, Nihan Çetin Demirel, Daniel Oron, Diyar Akay and Mohamed M. Mostafa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Policy and Expert Systems with Applications.

In The Last Decade

M. Duran Toksarı

28 papers receiving 899 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Duran Toksarı Türkiye 19 486 243 195 190 171 32 941
Dalila B.M.M. Fontes Portugal 17 584 1.2× 87 0.4× 73 0.4× 91 0.5× 93 0.5× 54 909
Lvjiang Yin China 15 485 1.0× 94 0.4× 34 0.2× 164 0.9× 92 0.5× 22 840
Markus Sinnl Austria 13 315 0.6× 97 0.4× 123 0.6× 44 0.2× 125 0.7× 46 799
Thomas Stidsen Denmark 15 256 0.5× 116 0.5× 248 1.3× 129 0.7× 143 0.8× 53 661
Enrico Malaguti Italy 17 660 1.4× 116 0.5× 302 1.5× 78 0.4× 208 1.2× 55 1.1k
Danyu Bai China 18 648 1.3× 120 0.5× 37 0.2× 426 2.2× 212 1.2× 53 1.2k
Jeffery D. Weir United States 13 84 0.2× 182 0.7× 132 0.7× 244 1.3× 40 0.2× 40 735
Reza Moghdani Iran 14 252 0.5× 95 0.4× 60 0.3× 295 1.6× 26 0.2× 19 729
Yi-Chi Wang Taiwan 17 470 1.0× 73 0.3× 142 0.7× 191 1.0× 51 0.3× 41 774
Eduardo G. Carrano Brazil 18 118 0.2× 544 2.2× 161 0.8× 182 1.0× 146 0.9× 70 1.0k

Countries citing papers authored by M. Duran Toksarı

Since Specialization
Citations

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

Fields of papers citing papers by M. Duran Toksarı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Duran Toksarı. 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 M. Duran Toksarı. The network helps show where M. Duran Toksarı may publish in the future.

Co-authorship network of co-authors of M. Duran Toksarı

This figure shows the co-authorship network connecting the top 25 collaborators of M. Duran Toksarı. A scholar is included among the top collaborators of M. Duran Toksarı 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 M. Duran Toksarı. M. Duran Toksarı is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Toksarı, M. Duran, et al.. (2022). Single batch processing machine scheduling with sequence-dependent setup times and multi-material parts in additive manufacturing. CIRP journal of manufacturing science and technology. 37. 302–311. 10 indexed citations
2.
Toksarı, M. Duran. (2022). A Hybrid Algorithm for Forecasting Transportation Energy Demand of Turkey. SSRN Electronic Journal. 2 indexed citations
3.
Toksarı, M. Duran, et al.. (2018). Bulanık Bozulma ve Öğrenme Etkileri Altında Tek Makine Erken/Geç Tamamlanma Probleminin Bulanık Şans Kısıtlı Programlama Tekniği ile İncelenmesi. SHILAP Revista de lepidopterología. 22(2). 650–660. 3 indexed citations
4.
Toksarı, M. Duran, et al.. (2017). Multi-objective fuzzy parallel machine scheduling problems under fuzzy job deterioration and learning effects. International Journal of Production Research. 56(7). 2488–2505. 43 indexed citations
5.
Toksarı, M. Duran. (2017). Genetic algorithm applied to the flow shop scheduling problem under effects of fuzzy learning and deterioration with a common fuzzy due date. New Trends and Issues Proceedings on Humanities and Social Sciences. 4(10). 306–316.
6.
7.
Toksarı, M. Duran, et al.. (2015). Interactive Fuzzy Goal Programming Based on Jacobian Matrix to Solve Decentralized Bi-level Multi-objective Fractional Programming Problems. International Journal of Fuzzy Systems. 17(4). 499–508. 21 indexed citations
9.
Toksarı, M. Duran. (2010). Predicting the Natural Gas Demand Based on Economic Indicators: Case of Turkey. Energy Sources Part A Recovery Utilization and Environmental Effects. 32(6). 559–566. 22 indexed citations
10.
Toksarı, M. Duran, Daniel Oron, & Ertan Güner. (2010). Some scheduling problems with past sequence dependent setup times under the effects of nonlinear deterioration and time-dependent learning. RAIRO - Operations Research. 44(2). 107–118. 3 indexed citations
11.
Toksarı, M. Duran, Daniel Oron, & Ertan Güner. (2009). Single machine scheduling problems under the effects of nonlinear deterioration and time-dependent learning. Mathematical and Computer Modelling. 50(3-4). 401–406. 30 indexed citations
12.
Toksarı, M. Duran & Ertan Güner. (2009). The common due-date early/tardy scheduling problem on a parallelmachine under the effects of time-dependent learning and linear and nonlinear deterioration. Expert Systems with Applications. 37(1). 92–112. 29 indexed citations
13.
Toksarı, M. Duran & Ertan Güner. (2009). Parallel machine scheduling problem to minimize the earliness/tardiness costs with learning effect and deteriorating jobs. Journal of Intelligent Manufacturing. 21(6). 843–851. 37 indexed citations
14.
Toksarı, M. Duran. (2009). Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey. Energy Policy. 37(3). 1181–1187. 91 indexed citations
15.
Toksarı, M. Duran. (2008). Minimizing the multimodal functions with Ant Colony Optimization approach. Expert Systems with Applications. 36(3). 6030–6035. 21 indexed citations
16.
Toksarı, M. Duran & Ertan Güner. (2008). Parallel machine earliness/tardiness scheduling problem under the effects of position based learning and linear/nonlinear deterioration. Computers & Operations Research. 36(8). 2394–2417. 49 indexed citations
17.
Toksarı, M. Duran & Ertan Güner. (2007). Solving the unconstrained optimization problem by a variable neighborhood search. Journal of Mathematical Analysis and Applications. 328(2). 1178–1187. 19 indexed citations
18.
Toksarı, M. Duran. (2007). Ant colony optimization approach to estimate energy demand of Turkey. Energy Policy. 35(8). 3984–3990. 151 indexed citations
19.
Toksarı, M. Duran, Selçuk Kürşat İşleyen, Ertan Güner, & Ömer Faruk Baykoç. (2007). Simple and U-type assembly line balancing problems with a learning effect. Applied Mathematical Modelling. 32(12). 2954–2961. 63 indexed citations
20.
Toksarı, M. Duran. (2006). A heuristic approach to find the global optimum of function. Journal of Computational and Applied Mathematics. 209(2). 160–166. 19 indexed citations

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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