Buğra Alkan

691 total citations
26 papers, 481 citations indexed

About

Buğra Alkan is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Strategy and Management. According to data from OpenAlex, Buğra Alkan has authored 26 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Industrial and Manufacturing Engineering, 15 papers in Management of Technology and Innovation and 2 papers in Strategy and Management. Recurrent topics in Buğra Alkan's work include Flexible and Reconfigurable Manufacturing Systems (16 papers), Product Development and Customization (15 papers) and Manufacturing Process and Optimization (15 papers). Buğra Alkan is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (16 papers), Product Development and Customization (15 papers) and Manufacturing Process and Optimization (15 papers). Buğra Alkan collaborates with scholars based in United Kingdom, India and Switzerland. Buğra Alkan's co-authors include Robert Harrison, Daniel Vera, Bilal Ahmad, Mussawar Ahmad, Bilal Ahmad, Seth Bullock, James Meredith, Mohd Hamdan Ahmad, Lukas Budde and Thomas Friedli and has published in prestigious journals such as Journal of Cleaner Production, IEEE Access and Sensors.

In The Last Decade

Buğra Alkan

26 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Buğra Alkan United Kingdom 14 322 154 68 57 47 26 481
Daniel Vera United Kingdom 14 518 1.6× 151 1.0× 72 1.1× 50 0.9× 43 0.9× 42 638
Carmen Constantinescu Germany 14 291 0.9× 115 0.7× 56 0.8× 32 0.6× 41 0.9× 50 561
Konstantinos Efthymiou Greece 11 364 1.1× 196 1.3× 114 1.7× 71 1.2× 56 1.2× 14 532
Dávid Gyulai Hungary 16 511 1.6× 85 0.6× 97 1.4× 23 0.4× 39 0.8× 34 626
Paolo Pedrazzoli Switzerland 13 299 0.9× 85 0.6× 49 0.7× 35 0.6× 70 1.5× 48 425
Eeva Järvenpää Finland 11 355 1.1× 143 0.9× 70 1.0× 32 0.6× 29 0.6× 40 454
Johannes Wagner Germany 14 227 0.7× 64 0.4× 85 1.3× 39 0.7× 47 1.0× 56 493
Thomas Lundholm Sweden 9 522 1.6× 85 0.6× 133 2.0× 69 1.2× 85 1.8× 16 663
Olivier Cardin France 15 458 1.4× 53 0.3× 50 0.7× 28 0.5× 44 0.9× 43 571
S. G. Lee Singapore 9 264 0.8× 60 0.4× 49 0.7× 85 1.5× 47 1.0× 16 413

Countries citing papers authored by Buğra Alkan

Since Specialization
Citations

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

Fields of papers citing papers by Buğra Alkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Buğra Alkan

This figure shows the co-authorship network connecting the top 25 collaborators of Buğra Alkan. A scholar is included among the top collaborators of Buğra Alkan 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 Buğra Alkan. Buğra Alkan 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.
Alkan, Buğra, et al.. (2024). State of the art and future directions of digital twin-enabled smart assembly automation in discrete manufacturing industries. International Journal of Computer Integrated Manufacturing. 38(8). 1126–1160. 3 indexed citations
2.
Alkan, Buğra, et al.. (2023). A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries. Journal of Cleaner Production. 419. 138259–138259. 37 indexed citations
3.
Alkan, Buğra, et al.. (2022). A hybrid extreme learning machine model with harris hawks optimisation algorithm: an optimised model for product demand forecasting applications. Applied Intelligence. 52(10). 11489–11505. 24 indexed citations
4.
5.
Alkan, Buğra, et al.. (2021). Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off. IEEE Access. 9. 57907–57921. 3 indexed citations
6.
Alkan, Buğra, et al.. (2021). A novel data-driven approach to support decision-making during production scale-up of assembly systems. Journal of Manufacturing Systems. 59. 577–595. 10 indexed citations
7.
Alkan, Buğra, et al.. (2020). A Design Process Framework to Deal with Non-functional Requirements in Conceptual System Designs. Research Open (London South Bank University). 1 indexed citations
8.
9.
Alkan, Buğra & Seth Bullock. (2020). Assessing operational complexity of manufacturing systems based on algorithmic complexity of key performance indicator time-series. Journal of the Operational Research Society. 72(10). 2241–2255. 12 indexed citations
10.
Alkan, Buğra, et al.. (2019). A Framework for Pilot Line Scale-up using Digital Manufacturing. Procedia CIRP. 81. 962–967. 6 indexed citations
11.
Alkan, Buğra, et al.. (2019). A framework to predict energy related key performance indicators of manufacturing systems at early design phase. Procedia CIRP. 81. 145–150. 16 indexed citations
12.
Alkan, Buğra & Robert Harrison. (2019). A virtual engineering based approach to verify structural complexity of component-based automation systems in early design phase. Journal of Manufacturing Systems. 53. 18–31. 25 indexed citations
13.
Alkan, Buğra. (2019). An experimental investigation on the relationship between perceived assembly complexity and product design complexity. International Journal on Interactive Design and Manufacturing (IJIDeM). 13(3). 1145–1157. 31 indexed citations
14.
Alkan, Buğra, et al.. (2018). Pilot To Full-Scale Production: A Battery Module Assembly Case Study. Procedia CIRP. 72. 796–801. 15 indexed citations
15.
Alkan, Buğra, et al.. (2017). Assessing Complexity of Component-Based Control Architectures Used in Modular Automation Systems. International Journal of Computer and Electrical Engineering. 9(1). 393–402. 9 indexed citations
16.
Alkan, Buğra, Daniel Vera, Bilal Ahmad, & Robert Harrison. (2017). A Method to Assess Assembly Complexity of Industrial Products in Early Design Phase. IEEE Access. 6. 989–999. 30 indexed citations
17.
Ahmad, Mussawar, Bilal Ahmad, Buğra Alkan, et al.. (2016). Hydrogen Fuel Cell Pick and Place Assembly Systems: Heuristic Evaluation of Reconfigurability and Suitability. Procedia CIRP. 57. 428–433. 3 indexed citations
18.
Alkan, Buğra, Daniel Vera, Mussawar Ahmad, Bilal Ahmad, & Robert Harrison. (2016). A Model for Complexity Assessment in Manual Assembly Operations Through Predetermined Motion Time Systems. Procedia CIRP. 44. 429–434. 29 indexed citations
19.
Alkan, Buğra, Daniel Vera, Mussawar Ahmad, Bilal Ahmad, & Robert Harrison. (2016). A Lightweight Approach for Human Factor Assessment in Virtual Assembly Designs: An Evaluation Model for Postural Risk and Metabolic Workload. Procedia CIRP. 44. 26–31. 32 indexed citations
20.
Ahmad, Mussawar, Bilal Ahmad, Robert Harrison, et al.. (2016). A Framework for Automatically Realizing Assembly Sequence Changes in a Virtual Manufacturing Environment. Procedia CIRP. 50. 129–134. 9 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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