Jan Henjes

3.1k total citations · 1 hit paper
11 papers, 1.9k citations indexed

About

Jan Henjes is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Jan Henjes has authored 11 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Industrial and Manufacturing Engineering, 7 papers in Mechanical Engineering and 2 papers in Mechanics of Materials. Recurrent topics in Jan Henjes's work include Flexible and Reconfigurable Manufacturing Systems (5 papers), Advanced machining processes and optimization (4 papers) and Manufacturing Process and Optimization (3 papers). Jan Henjes is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (5 papers), Advanced machining processes and optimization (4 papers) and Manufacturing Process and Optimization (3 papers). Jan Henjes collaborates with scholars based in Germany, Austria and South Korea. Jan Henjes's co-authors include Wilfried Sihn, Matthias Karner, Berend Denkena, Alfred Schmidt, Bernd‐Arno Behrens, Hong‐Seok Park, A. Klassen and Peter Nyhuis and has published in prestigious journals such as Computers & Industrial Engineering, CIRP journal of manufacturing science and technology and International Journal of Precision Engineering and Manufacturing.

In The Last Decade

Jan Henjes

10 papers receiving 1.8k citations

Hit Papers

Digital Twin in manufacturing: A categorical literature r... 2018 2026 2020 2023 2018 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Henjes Germany 6 1.5k 249 176 159 154 11 1.9k
Matthias Karner Austria 4 1.5k 1.0× 254 1.0× 150 0.9× 156 1.0× 155 1.0× 5 1.9k
Reiner Anderl Germany 21 1.3k 0.8× 175 0.7× 254 1.4× 107 0.7× 184 1.2× 190 1.9k
Elisa Negri Italy 20 2.4k 1.6× 314 1.3× 175 1.0× 161 1.0× 205 1.3× 51 2.9k
Edward H. Glaessgen United States 9 1.0k 0.7× 219 0.9× 253 1.4× 119 0.7× 122 0.8× 36 1.7k
Cunbo Zhuang China 14 1.3k 0.8× 142 0.6× 131 0.7× 87 0.5× 130 0.8× 44 1.7k
Rolf Steinhilper Germany 15 1.0k 0.7× 123 0.5× 245 1.4× 117 0.7× 95 0.6× 80 1.7k
David S. Stargel United States 8 1.0k 0.7× 211 0.8× 348 2.0× 115 0.7× 119 0.8× 9 1.8k
Shuiliang Fang China 6 821 0.5× 148 0.6× 147 0.8× 108 0.7× 85 0.6× 15 1.2k
Jason Yon United Kingdom 12 847 0.5× 145 0.6× 242 1.4× 106 0.7× 111 0.7× 33 1.8k

Countries citing papers authored by Jan Henjes

Since Specialization
Citations

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

Fields of papers citing papers by Jan Henjes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Henjes

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

All Works

11 of 11 papers shown
1.
Henjes, Jan, et al.. (2020). An efficient hybrid multi-criteria optimization approach for rolling production smoothing of a European food manufacturer. Computers & Industrial Engineering. 147. 106620–106620. 5 indexed citations
2.
Karner, Matthias, et al.. (2018). Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine. 51(11). 1016–1022. 1852 indexed citations breakdown →
3.
Henjes, Jan, et al.. (2017). A case study for simulation and optimization based planning of production and logistics systems. Winter Simulation Conference. 3495–3506. 2 indexed citations
4.
Henjes, Jan, et al.. (2017). A case study for simulation and optimization based planning of production and logistics systems. 2017 Winter Simulation Conference (WSC). 3495–3506. 5 indexed citations
5.
Denkena, Berend, et al.. (2013). Prozessketten für Kurbelwellen ökologisch gestalten. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 108(4). 224–228. 1 indexed citations
6.
Behrens, Bernd‐Arno, et al.. (2013). Application of methods for ecological optimization of crank shaft forging process. Production Engineering. 8(3). 253–261. 2 indexed citations
7.
Denkena, Berend, et al.. (2013). Modeling a Thermomechanical NC-Simulation. Procedia CIRP. 8. 69–74. 13 indexed citations
8.
Henjes, Jan, et al.. (2013). Approach to Forecast Energy Consumption of Machine Tools within the Design Phase. Advanced materials research. 769. 278–284. 5 indexed citations
9.
Denkena, Berend, et al.. (2013). Development of a concept to optimize the energy efficiency in forging process chains. International Journal of Precision Engineering and Manufacturing. 14(7). 1229–1236. 9 indexed citations
10.
Denkena, Berend, et al.. (2011). Simulation-based dimensioning of manufacturing process chains. CIRP journal of manufacturing science and technology. 4(1). 9–14. 22 indexed citations
11.
Denkena, Berend, et al.. (2010). Technologische und logistische Optimierung von Schmiedeprozessketten. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 105(12). 1069–1073.

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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