Jens Heger

834 total citations
30 papers, 556 citations indexed

About

Jens Heger is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jens Heger has authored 30 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Industrial and Manufacturing Engineering, 7 papers in Mechanical Engineering and 6 papers in Civil and Structural Engineering. Recurrent topics in Jens Heger's work include Scheduling and Optimization Algorithms (14 papers), Assembly Line Balancing Optimization (9 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). Jens Heger is often cited by papers focused on Scheduling and Optimization Algorithms (14 papers), Assembly Line Balancing Optimization (9 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). Jens Heger collaborates with scholars based in Germany and United Kingdom. Jens Heger's co-authors include Bernd Scholz‐Reiter, Torsten Hildebrandt, Jürgen Branke, T. T. Voss, Michael Lütjen, Paul Drews, Burkhardt Funk, Alexander Warnecke, Noomane Ben Khalifa and Michael Freitag and has published in prestigious journals such as International Journal of Production Economics, International Journal of Production Research and IEEE Sensors Journal.

In The Last Decade

Jens Heger

27 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Heger Germany 14 405 159 99 44 38 30 556
Lijun He China 15 578 1.4× 97 0.6× 86 0.9× 17 0.4× 30 0.8× 48 767
G.M. Komaki Iran 13 537 1.3× 159 1.0× 72 0.7× 26 0.6× 14 0.4× 18 747
Massimiliano Pirani Italy 14 245 0.6× 71 0.4× 94 0.9× 17 0.4× 27 0.7× 58 508
Pepe Vázquez-Rodríguez United Kingdom 11 735 1.8× 150 0.9× 116 1.2× 67 1.5× 38 1.0× 19 899
Jun-Hua Duan China 6 301 0.7× 171 1.1× 71 0.7× 13 0.3× 23 0.6× 22 562
Maryam Karimi-Mamaghan France 6 257 0.6× 122 0.8× 49 0.5× 37 0.8× 9 0.2× 6 445
Kwang Ryel Ryu South Korea 17 668 1.6× 142 0.9× 46 0.5× 27 0.6× 9 0.2× 52 901
Daqing Wu China 11 124 0.3× 150 0.9× 70 0.7× 26 0.6× 20 0.5× 21 466
Zihou Yang China 6 645 1.6× 145 0.9× 174 1.8× 65 1.5× 9 0.2× 9 800
Ying Guo China 11 248 0.6× 107 0.7× 77 0.8× 17 0.4× 14 0.4× 65 545

Countries citing papers authored by Jens Heger

Since Specialization
Citations

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

Fields of papers citing papers by Jens Heger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Heger

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Heger. A scholar is included among the top collaborators of Jens Heger 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 Jens Heger. Jens Heger 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.
Heger, Jens, et al.. (2025). Failure prediction by using a recurrent neural network in incremental sheet forming with active medium. International Journal of Material Forming. 18(4).
2.
Heger, Jens, et al.. (2025). Manufacturing of irregular shapes through force control in incremental sheet forming with active medium. Multilingual Matters (Channel View Publications). 10. 100157–100157. 1 indexed citations
3.
Khalifa, Noomane Ben, et al.. (2024). Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning. Procedia CIRP. 130. 270–275.
4.
Heger, Jens & T. T. Voss. (2021). Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning. International Journal of Production Research. 61(1). 147–161. 19 indexed citations
6.
Heger, Jens, et al.. (2020). Anomaly detection in formed sheet metals using convolutional autoencoders. Procedia CIRP. 93. 1281–1285. 8 indexed citations
7.
Warnecke, Alexander, et al.. (2020). Creating Value from in-Vehicle Data: Detecting Road Surfaces and Road Hazards. Multilingual Matters (Channel View Publications). 5. 1–6. 2 indexed citations
8.
Warnecke, Alexander, et al.. (2020). Modeling the Quarter-Vehicle: Use of Passive Sensor Data for Road Condition Monitoring. IEEE Sensors Journal. 21(14). 15535–15543. 13 indexed citations
9.
Heger, Jens & T. T. Voss. (2019). Reducing mean tardiness in a flexible job shop containing AGVs with optimized combinations of sequencing and routing rules. Procedia CIRP. 81. 1136–1141. 11 indexed citations
10.
Heger, Jens, et al.. (2019). Using Data Mining Techniques to Investigate the Correlation between Surface Cracks and Flange Lengths in Deep Drawn Sheet Metals. IFAC-PapersOnLine. 52(13). 851–856. 5 indexed citations
11.
Heger, Jens & T. T. Voss. (2018). Optimal Scheduling of AGVs in a Reentrant Blocking Job-shop. Procedia CIRP. 67. 41–45. 14 indexed citations
12.
Heger, Jens, et al.. (2017). Online-scheduling using past and real-time data. An assessment by discrete event simulation using exponential smoothing. CIRP journal of manufacturing science and technology. 19. 158–163. 8 indexed citations
13.
Heger, Jens, Jürgen Branke, Torsten Hildebrandt, & Bernd Scholz‐Reiter. (2016). Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times. International Journal of Production Research. 54(22). 6812–6824. 49 indexed citations
14.
Heger, Jens. (2014). Dynamische Regelselektion in der Reihenfolgeplanung. DIAL (Catholic University of Leuven). 6 indexed citations
15.
Scholz‐Reiter, Bernd, et al.. (2011). A milp for installation scheduling of offshore wind farms. 5(2). 19 indexed citations
16.
Scholz‐Reiter, Bernd, et al.. (2010). Planning and control of logistics for offshore wind farms. 242–247. 13 indexed citations
17.
Branke, Jürgen, et al.. (2010). Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness. Winter Simulation Conference. 2504–2515. 21 indexed citations
18.
Branke, Jürgen, et al.. (2010). Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness. Proceedings of the 2010 Winter Simulation Conference. 2504–2515. 30 indexed citations
19.
Scholz‐Reiter, Bernd, Jens Heger, & Torsten Hildebrandt. (2010). Gaussian Processes for Dispatching Rule Selection in Production Scheduling: Comparison of Learning Techniques. 631–638. 8 indexed citations
20.
Hildebrandt, Torsten, Jens Heger, & Bernd Scholz‐Reiter. (2010). Towards improved dispatching rules for complex shop floor scenarios. 257–264. 101 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026