Jens‐Peter Majschak

1.2k total citations
81 papers, 918 citations indexed

About

Jens‐Peter Majschak is a scholar working on Mechanics of Materials, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Jens‐Peter Majschak has authored 81 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Mechanics of Materials, 20 papers in Computational Mechanics and 20 papers in Mechanical Engineering. Recurrent topics in Jens‐Peter Majschak's work include Material Properties and Processing (35 papers), Advanced Cellulose Research Studies (15 papers) and Fluid Dynamics and Heat Transfer (13 papers). Jens‐Peter Majschak is often cited by papers focused on Material Properties and Processing (35 papers), Advanced Cellulose Research Studies (15 papers) and Fluid Dynamics and Heat Transfer (13 papers). Jens‐Peter Majschak collaborates with scholars based in Germany, United Kingdom and Finland. Jens‐Peter Majschak's co-authors include Marek Hauptmann, H. Köhler, Jochen Fröhlich, Wolfgang Augustin, Stephan Scholl, D.I. Wilson, Manuel Helbig, Sören Östlund, Elias Retulainen and Alexey Vishtal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Food Science & Technology and Chemical Engineering Science.

In The Last Decade

Jens‐Peter Majschak

75 papers receiving 881 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‐Peter Majschak Germany 19 364 287 226 200 141 81 918
Qi Lu China 17 148 0.4× 114 0.4× 155 0.7× 397 2.0× 417 3.0× 77 1.1k
Ana Paula Costa Portugal 14 104 0.3× 217 0.8× 70 0.3× 63 0.3× 140 1.0× 51 613
Thomas A. Ward Malaysia 17 87 0.2× 302 1.1× 488 2.2× 206 1.0× 594 4.2× 43 1.5k
Jianfeng Ma China 17 117 0.3× 118 0.4× 86 0.4× 341 1.7× 398 2.8× 62 888
Fouad Erchiqui Canada 23 426 1.2× 445 1.6× 105 0.5× 452 2.3× 349 2.5× 115 1.8k
Tomasz Garbowski Poland 20 556 1.5× 246 0.9× 37 0.2× 176 0.9× 80 0.6× 93 937
A. N. Oumer Malaysia 17 158 0.4× 72 0.3× 207 0.9× 275 1.4× 224 1.6× 68 874
E. Bosco Netherlands 18 444 1.2× 148 0.5× 48 0.2× 128 0.6× 82 0.6× 46 1.1k
Kai Jin China 20 422 1.2× 45 0.2× 125 0.6× 531 2.7× 211 1.5× 43 1.2k
J. F. Agassant France 25 375 1.0× 71 0.2× 378 1.7× 594 3.0× 164 1.2× 83 1.7k

Countries citing papers authored by Jens‐Peter Majschak

Since Specialization
Citations

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

Fields of papers citing papers by Jens‐Peter Majschak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens‐Peter Majschak

This figure shows the co-authorship network connecting the top 25 collaborators of Jens‐Peter Majschak. A scholar is included among the top collaborators of Jens‐Peter Majschak 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‐Peter Majschak. Jens‐Peter Majschak 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
2.
Majschak, Jens‐Peter, et al.. (2025). Experimental Studies of the Flushing Process of Chocolate in a Test Rig. Heat Transfer Engineering. 1–14. 1 indexed citations
3.
Zahn, Susann, et al.. (2023). Influence of rheological properties and pull-off forces of native and modified starches on cleaning in plane channel flow. Heat and Mass Transfer. 60(5). 861–870. 2 indexed citations
4.
Zahn, Susann, et al.. (2021). Effect of Physicochemical Properties of Native Starches on Cleaning in Falling Film and Plane Channel Flow Experiments. Heat Transfer Engineering. 43(15-16). 1416–1425. 4 indexed citations
5.
Majschak, Jens‐Peter, et al.. (2020). Disturbance Simulation in the Packaging Process of Confectionary Using Virtual Commissioning. Machines. 8(2). 19–19. 2 indexed citations
6.
Majschak, Jens‐Peter, et al.. (2020). Controlling Liquid Slosh by Applying Optimal Operating-Speed-Dependent Motion Profiles. Robotics. 9(1). 18–18. 7 indexed citations
7.
Majschak, Jens‐Peter, et al.. (2020). Whey protein gel — mechanical cleaning capability through modelling and experimental testing including compression and wire cutting investigation. Journal of Food Engineering. 292. 110324–110324. 3 indexed citations
8.
Hauptmann, Marek, et al.. (2019). Characterization of the material elongation in the deep drawing of paperboard. Packaging Technology and Science. 32(6). 287–296. 8 indexed citations
9.
Hauptmann, Marek, et al.. (2019). Temperature development of cardboard in contact with high-frequency vibrating metal surfaces. BioResources. 14(2). 3975–3990. 3 indexed citations
10.
Majschak, Jens‐Peter, et al.. (2019). Modelling of Oblique Wire Cutting and Experimental Application on Soft Solid Foods for the Investigation of Friction Behaviour. Journal of Food Quality. 2019. 1–9. 7 indexed citations
11.
Hauptmann, Marek, et al.. (2018). New method to evaluate the frictional behavior within the forming gap during the deep drawing process of paperboard. BioResources. 13(3). 5580–5597. 3 indexed citations
12.
Hauptmann, Marek, et al.. (2017). The effect of ultrasonic oscillation on the quality of 3D shapes during deep-drawing of paperboard. BioResources. 12(4). 7178–7194. 5 indexed citations
13.
Schneider, Matti, et al.. (2017). Evaluating the factors influencing the friction behavior of paperboard during the deep drawing process. BioResources. 12(4). 8340–8358. 9 indexed citations
14.
Jenderka, Klaus‐Vitold, et al.. (2017). Investigations on the correlation between particle velocity distribution and PMMA heating effect induced by high-intensity focused ultrasound. 2017 IEEE International Ultrasonics Symposium (IUS). 1–4. 3 indexed citations
15.
Schneider, Matti, Matthias Kabel, Heiko Andrä, et al.. (2016). Thermal fiber orientation tensors for digital paper physics. International Journal of Solids and Structures. 100-101. 234–244. 7 indexed citations
16.
Hauptmann, Marek, et al.. (2016). Shape accuracy analysis of deep drawn packaging components made of paperboard. Nordic Pulp & Paper Research Journal. 31(2). 323–332. 5 indexed citations
17.
Köhler, H., et al.. (2016). Study on the application of cleaning models with high speed water jets to CIP-processes. Tehnicki vjesnik - Technical Gazette. 23(2). 10 indexed citations
18.
Hauptmann, Marek, et al.. (2016). Optimisation of deep drawn paperboard structures by adaptation of the blank holder force trajectory. Journal of Materials Processing Technology. 232. 142–152. 28 indexed citations
19.
Helbig, Manuel, Wolfgang Augustin, Y.M. John Chew, et al.. (2013). A comparison of local phosphorescence detection and fluid dynamic gauging methods for studying the removal of cohesive fouling layers: Effect of layer roughness. Food and Bioproducts Processing. 92(1). 46–53. 10 indexed citations
20.
Durek, Julia, Volker Heinz, Bernd Hitzmann, et al.. (2011). Minimal processing in automatisierten Prozessketten der Fleischverarbeitung : eine Fallstudie am Beispiel der Feinzerlegung von Schweinefleisch (Schinken). ˜Die œFleischwirtschaft. 91(4). 102–105. 1 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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