Mesut Yavuz

845 total citations
23 papers, 578 citations indexed

About

Mesut Yavuz is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mesut Yavuz has authored 23 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 8 papers in Automotive Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Mesut Yavuz's work include Scheduling and Optimization Algorithms (10 papers), Assembly Line Balancing Optimization (9 papers) and Electric Vehicles and Infrastructure (8 papers). Mesut Yavuz is often cited by papers focused on Scheduling and Optimization Algorithms (10 papers), Assembly Line Balancing Optimization (9 papers) and Electric Vehicles and Infrastructure (8 papers). Mesut Yavuz collaborates with scholars based in United States, Türkiye and Canada. Mesut Yavuz's co-authors include Cengiz Kahraman, Sezi Çevik Onar, Başar Öztayşi, Süleyman Tüfekçi, Mithat C. Kisacikoglu, Elif Akçalı, Andrew Meintz, Clément Rames, İsmail Çapar and Mohammad Marufuzzaman and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Economics and Pattern Recognition.

In The Last Decade

Mesut Yavuz

23 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mesut Yavuz United States 13 231 211 192 171 72 23 578
Long He United States 12 190 0.8× 432 2.0× 85 0.4× 112 0.7× 80 1.1× 31 811
Fredrik Wernstedt Sweden 10 180 0.8× 63 0.3× 61 0.3× 150 0.9× 27 0.4× 27 512
S. S. Appadoo Canada 11 141 0.6× 192 0.9× 147 0.8× 238 1.4× 45 0.6× 40 545
Mohsen Sadegh Amalnick Iran 11 147 0.6× 62 0.3× 170 0.9× 45 0.3× 107 1.5× 33 638
Stephan Meisel Germany 9 197 0.9× 115 0.5× 49 0.3× 89 0.5× 9 0.1× 19 439
Rafael de Carvalho Miranda Brazil 11 48 0.2× 52 0.2× 155 0.8× 224 1.3× 42 0.6× 49 549
Bojan Rosi Slovenia 12 143 0.6× 41 0.2× 80 0.4× 247 1.4× 89 1.2× 42 569

Countries citing papers authored by Mesut Yavuz

Since Specialization
Citations

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

Fields of papers citing papers by Mesut Yavuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mesut Yavuz

This figure shows the co-authorship network connecting the top 25 collaborators of Mesut Yavuz. A scholar is included among the top collaborators of Mesut Yavuz 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 Mesut Yavuz. Mesut Yavuz 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.
Yavuz, Mesut, et al.. (2025). C2SLM: A Correlation-based Clustering-assisted Sparse Learning Model for Electric Vehicle Market Demand Forecasting. Pattern Recognition. 170. 111984–111984. 2 indexed citations
2.
Murali, Karthik, et al.. (2023). Drivers and implications of combined investment in renewables and energy storage in the residential sector. Decision Sciences. 55(4). 381–397. 5 indexed citations
3.
Freeman, Nickolas, et al.. (2023). Combining predictive and prescriptive techniques for optimizing electric vehicle fleet charging. Transportation Research Part C Emerging Technologies. 152. 104149–104149. 6 indexed citations
4.
Kisacikoglu, Mithat C., et al.. (2021). Optimization of Multiport DC Fast Charging Stations Operating With Power Cap Policy. IEEE Transactions on Transportation Electrification. 7(4). 2402–2413. 15 indexed citations
5.
Yavuz, Mesut, et al.. (2020). A Data Mining Based Solution Method for Flow Shop Scheduling Problems. Scientia Iranica. 0(0). 0–0. 1 indexed citations
6.
Kisacikoglu, Mithat C., et al.. (2019). Modeling and Analysis of a Fast Charging Station and Evaluation of Service Quality for Electric Vehicles. IEEE Transactions on Transportation Electrification. 5(1). 215–225. 112 indexed citations
7.
Yavuz, Mesut, et al.. (2018). Advanced constraint propagation for the combined car sequencing and level scheduling problem. Computers & Operations Research. 100. 128–139. 8 indexed citations
8.
Öztayşi, Başar, Sezi Çevik Onar, Cengiz Kahraman, & Mesut Yavuz. (2017). Multi-criteria alternative-fuel technology selection using interval-valued intuitionistic fuzzy sets. Transportation Research Part D Transport and Environment. 53. 128–148. 70 indexed citations
9.
Yavuz, Mesut. (2017). An iterated beam search algorithm for the green vehicle routing problem. Networks. 69(3). 317–328. 19 indexed citations
10.
Yavuz, Mesut & İsmail Çapar. (2016). Alternative-Fuel Vehicle Adoption in Service Fleets: Impact Evaluation Through Optimization Modeling. Transportation Science. 51(2). 480–493. 24 indexed citations
11.
Yavuz, Mesut, Başar Öztayşi, Sezi Çevik Onar, & Cengiz Kahraman. (2014). Multi-criteria evaluation of alternative-fuel vehicles via a hierarchical hesitant fuzzy linguistic model. Expert Systems with Applications. 42(5). 2835–2848. 141 indexed citations
12.
Yavuz, Mesut. (2013). Iterated beam search for the combined car sequencing and level scheduling problem. International Journal of Production Research. 51(12). 3698–3718. 12 indexed citations
13.
Yavuz, Mesut. (2009). An iterated beam search algorithm for the multi-level production smoothing problem with workload smoothing goal. International Journal of Production Research. 48(20). 6189–6202. 6 indexed citations
14.
Kubiak, Wiesław & Mesut Yavuz. (2008). Just-in-Time Smoothing Through Batching. Manufacturing & Service Operations Management. 10(3). 506–518. 7 indexed citations
15.
Yavuz, Mesut, et al.. (2007). Fair referee assignments for professional football leagues. Computers & Operations Research. 35(9). 2937–2951. 17 indexed citations
16.
Yavuz, Mesut & Elif Akçalı. (2007). Production smoothing in just-in-time manufacturing systems: a review of the models and solution approaches. International Journal of Production Research. 45(16). 3579–3597. 30 indexed citations
17.
Yavuz, Mesut, Elif Akçalı, & Süleyman Tüfekçi. (2006). Optimizing production smoothing decisions via batch selection for mixed-model just-in-time manufacturing systems with arbitrary setup and processing times. International Journal of Production Research. 44(15). 3061–3081. 15 indexed citations
18.
Yavuz, Mesut & Süleyman Tüfekçi. (2006). Dynamic programming solution to the batching problem in just-in-time flow-shops. Computers & Industrial Engineering. 51(3). 416–432. 17 indexed citations
19.
Yavuz, Mesut & Süleyman Tüfekçi. (2006). Analysis and solution to the single-level batch production smoothing problem. International Journal of Production Research. 45(17). 3893–3916. 15 indexed citations
20.
Yavuz, Mesut, Elif Akçalı, & Süleyman Tüfekçi. (2006). A Hybrid Meta-Heuristic for the Batching Problem in Just-In-Time Flow Shops. Journal of Mathematical Modelling and Algorithms. 5(3). 371–393. 4 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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