Udo Buscher

2.3k total citations
59 papers, 1.6k citations indexed

About

Udo Buscher is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Strategy and Management. According to data from OpenAlex, Udo Buscher has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Industrial and Manufacturing Engineering, 15 papers in Management Information Systems and 11 papers in Strategy and Management. Recurrent topics in Udo Buscher's work include Scheduling and Optimization Algorithms (28 papers), Advanced Manufacturing and Logistics Optimization (21 papers) and Supply Chain and Inventory Management (15 papers). Udo Buscher is often cited by papers focused on Scheduling and Optimization Algorithms (28 papers), Advanced Manufacturing and Logistics Optimization (21 papers) and Supply Chain and Inventory Management (15 papers). Udo Buscher collaborates with scholars based in Germany, United States and China. Udo Buscher's co-authors include Gerhard Aust, Janis S. Neufeld, Liji Shen, Sven Schulz, Jatinder N.D. Gupta, Zhipeng Lü, Lars Mönch, Ronald Bogaschewsky, Junwen Ding and Jörn Schönberger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Udo Buscher

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Udo Buscher Germany 23 1.0k 435 376 221 174 59 1.6k
Chulung Lee South Korea 19 406 0.4× 324 0.7× 269 0.7× 114 0.5× 126 0.7× 76 1.1k
Anantaram Balakrishnan United States 22 759 0.7× 505 1.2× 300 0.8× 339 1.5× 159 0.9× 50 1.7k
Yossiri Adulyasak Canada 17 1.0k 1.0× 304 0.7× 199 0.5× 53 0.2× 146 0.8× 51 1.6k
Nidhal Rezg France 27 758 0.7× 942 2.2× 874 2.3× 66 0.3× 96 0.6× 188 2.5k
Eugene Khmelnitsky Israel 16 758 0.7× 375 0.9× 204 0.5× 102 0.5× 89 0.5× 56 1.1k
Erhan Kutanoğlu United States 21 944 0.9× 402 0.9× 258 0.7× 57 0.3× 197 1.1× 54 1.7k
Ikou Kaku Japan 26 1.6k 1.5× 320 0.7× 224 0.6× 51 0.2× 107 0.6× 67 2.2k
Zhiheng Zhao China 20 496 0.5× 169 0.4× 218 0.6× 75 0.3× 56 0.3× 76 1.1k
Heinrich Kühn Germany 29 1.4k 1.4× 842 1.9× 351 0.9× 868 3.9× 170 1.0× 91 2.6k
Omid Fatahi Valilai Germany 21 899 0.9× 183 0.4× 281 0.7× 59 0.3× 65 0.4× 98 1.3k

Countries citing papers authored by Udo Buscher

Since Specialization
Citations

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

Fields of papers citing papers by Udo Buscher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udo Buscher

This figure shows the co-authorship network connecting the top 25 collaborators of Udo Buscher. A scholar is included among the top collaborators of Udo Buscher 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 Udo Buscher. Udo Buscher 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.
2.
Klumpp, Matthias, Frank Meisel, Christian Thies, & Udo Buscher. (2025). A multi-perspective framework to address manufacturing and transportation challenges in green hydrogen supply chains. Procedia Computer Science. 253. 673–682. 2 indexed citations
3.
Bont, Leo, et al.. (2025). Optimizing sustainable and multifunctional management of Alpine Forests under climate change. Scientific Reports. 15(1). 29761–29761.
4.
Neufeld, Janis S., Udo Buscher, Jay Michael Rosenberger, et al.. (2025). Challenges and the Need to Integrate Rolling Stock and Crew Scheduling for Efficient Railway Operations. IFAC-PapersOnLine. 59(1). 445–450.
5.
Becker, Tristan, Janis S. Neufeld, & Udo Buscher. (2024). The distributed flow shop scheduling problem with inter-factory transportation. European Journal of Operational Research. 322(1). 39–55. 4 indexed citations
6.
Neufeld, Janis S., et al.. (2024). Minimizing the earliness–tardiness for the customer order scheduling problem in a dedicated machine environment. Journal of Scheduling. 27(6). 525–543. 2 indexed citations
7.
Buscher, Udo, et al.. (2023). Pricing decisions in a two-period closed-loop supply chain game under asymmetric information and uncertainty. Flexible Services and Manufacturing Journal. 36(4). 1450–1502. 2 indexed citations
8.
Neufeld, Janis S., et al.. (2022). Iterated greedy algorithms for customer order scheduling with dedicated machines. IFAC-PapersOnLine. 55(10). 1594–1599. 3 indexed citations
9.
Buscher, Udo, et al.. (2022). Customer Order Scheduling in a Mobile 3D Printing Factory. IFAC-PapersOnLine. 55(10). 2270–2275. 1 indexed citations
10.
Buscher, Udo, et al.. (2021). A branch-and-cut algorithm for the vehicle routing problem with drones. Transportation Research Part B Methodological. 144. 174–203. 117 indexed citations
11.
Ding, Junwen, Sven Schulz, Liji Shen, Udo Buscher, & Zhipeng Lü. (2020). Energy aware scheduling in flexible flow shops with hybrid particle swarm optimization. Computers & Operations Research. 125. 105088–105088. 56 indexed citations
12.
Schulz, Sven, Janis S. Neufeld, & Udo Buscher. (2019). A multi-objective iterated local search algorithm for comprehensive energy-aware hybrid flow shop scheduling. Journal of Cleaner Production. 224. 421–434. 98 indexed citations
13.
Neufeld, Janis S., et al.. (2017). Scheduling dynamic job shop manufacturing cells with family setup times: A simulation study. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Buscher, Udo, et al.. (2017). Wie sich Industrie 4.0 und Lean gegenseitig befruchten. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 112(7-8). 518–521. 1 indexed citations
15.
Buscher, Udo, et al.. (2017). Solving Practical Railway Crew Scheduling Problems with Attendance Rates. Business & Information Systems Engineering. 59(3). 147–159. 23 indexed citations
16.
Neufeld, Janis S., Jatinder N.D. Gupta, & Udo Buscher. (2014). Minimising makespan in flowshop group scheduling with sequence-dependent family set-up times using inserted idle times. International Journal of Production Research. 53(6). 1791–1806. 24 indexed citations
17.
Aust, Gerhard & Udo Buscher. (2014). Vertical cooperative advertising in a retailer duopoly. Computers & Industrial Engineering. 72. 247–254. 26 indexed citations
18.
Bogaschewsky, Ronald, et al.. (2014). Einführung in die Produktion. Springer-Lehrbuch.
19.
Aust, Gerhard & Udo Buscher. (2013). Cooperative advertising models in supply chain management: A review. European Journal of Operational Research. 234(1). 1–14. 153 indexed citations
20.
Buscher, Udo, et al.. (2001). An optimal lot and batch size policy for a single item produced and remanufactured on one machine. TU/e Research Portal. 5 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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