Jürgen Miethlinger

571 total citations
46 papers, 411 citations indexed

About

Jürgen Miethlinger is a scholar working on Fluid Flow and Transfer Processes, Polymers and Plastics and Biomedical Engineering. According to data from OpenAlex, Jürgen Miethlinger has authored 46 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Fluid Flow and Transfer Processes, 22 papers in Polymers and Plastics and 11 papers in Biomedical Engineering. Recurrent topics in Jürgen Miethlinger's work include Rheology and Fluid Dynamics Studies (29 papers), Polymer crystallization and properties (15 papers) and Polymer Foaming and Composites (9 papers). Jürgen Miethlinger is often cited by papers focused on Rheology and Fluid Dynamics Studies (29 papers), Polymer crystallization and properties (15 papers) and Polymer Foaming and Composites (9 papers). Jürgen Miethlinger collaborates with scholars based in Austria, United States and Germany. Jürgen Miethlinger's co-authors include Wolfgang Roland, Christian Marschik, Michael Aigner, Walter Friesenbichler, Dietmar Salaberger, Bernhard Plank, Michael Kommenda, Michael Affenzeller, Bernhard G. Zagar and Thomas Unger and has published in prestigious journals such as Polymers, Polymer Engineering and Science and Measurement Science and Technology.

In The Last Decade

Jürgen Miethlinger

45 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Miethlinger Austria 12 201 158 125 75 69 46 411
Christian Marschik Austria 11 137 0.7× 113 0.7× 68 0.5× 41 0.5× 60 0.9× 39 273
Wolfgang Roland Austria 10 166 0.8× 124 0.8× 55 0.4× 43 0.6× 67 1.0× 37 271
M. J. Stevens United Kingdom 4 195 1.0× 178 1.1× 84 0.7× 58 0.8× 87 1.3× 6 371
M. Dziubiński Poland 11 50 0.2× 101 0.6× 13 0.1× 33 0.4× 82 1.2× 53 442
S. Sivakumar India 9 11 0.1× 121 0.8× 46 0.4× 35 0.5× 16 0.2× 37 282
Manohar Kulkarni United States 9 58 0.3× 90 0.6× 8 0.1× 47 0.6× 102 1.5× 18 385
Harun Mohamed Ismail Malaysia 10 442 2.2× 112 0.7× 6 0.0× 26 0.3× 151 2.2× 14 634
David van Bebber Germany 5 45 0.2× 110 0.7× 7 0.1× 37 0.5× 52 0.8× 13 263
Yajing Li China 12 19 0.1× 117 0.7× 31 0.2× 26 0.3× 20 0.3× 31 368
M. Venkata Ramanan India 19 654 3.3× 437 2.8× 4 0.0× 16 0.2× 126 1.8× 40 1.1k

Countries citing papers authored by Jürgen Miethlinger

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Miethlinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Miethlinger

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Miethlinger. A scholar is included among the top collaborators of Jürgen Miethlinger 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 Jürgen Miethlinger. Jürgen Miethlinger 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.
Miethlinger, Jürgen, et al.. (2024). Modeling the pressure-throughput behavior of double wave zones by means of network analysis and heuristic melt-conveying models. AIP conference proceedings. 3158. 110012–110012.
2.
Roland, Wolfgang, et al.. (2021). Using Symbolic Regression Models to Predict the Pressure Loss of Non-Newtonian Polymer-Melt Flows through Melt-Filtration Systems with Woven Screens. International Polymer Processing. 36(4). 435–450. 9 indexed citations
3.
Schuschnigg, Stephan, et al.. (2020). Modeling and Estimation of the Pressure and Temperature dependent Bulk Density of Polymers. International Polymer Processing. 35(1). 70–82. 2 indexed citations
4.
5.
Miethlinger, Jürgen, et al.. (2020). Melting Behavior of Heterogeneous Polymer Bulk Solids Related to Flood Fed Single Screw Extruders. Polymers. 12(12). 2893–2893. 4 indexed citations
6.
Roland, Wolfgang, et al.. (2019). Symbolic regression models for predicting viscous dissipation of three-dimensional non-Newtonian flows in single-screw extruders. Journal of Non-Newtonian Fluid Mechanics. 268. 12–29. 24 indexed citations
7.
Miethlinger, Jürgen, et al.. (2019). Simulation of asymmetrical multilayer flat film coextrusion regarding slip at the wall and interfacial slip at the polymer-polymer interface. AIP conference proceedings. 2055. 40004–40004. 2 indexed citations
8.
Roland, Wolfgang & Jürgen Miethlinger. (2018). Heuristic analysis of viscous dissipation in single‐screw extrusion. Polymer Engineering and Science. 58(11). 2055–2070. 15 indexed citations
9.
Marschik, Christian, et al.. (2018). Numerical analysis of mixing in block‐head mixing screws. Polymer Engineering and Science. 59(s2). 10 indexed citations
10.
Mitsoulis, Evan, et al.. (2018). Flow Behavior of a Polypropylene Melt in Capillary Dies. International Polymer Processing. 33(5). 642–651. 13 indexed citations
11.
Aigner, Michael, et al.. (2017). Modeling and optimization of melt filtration systems in polymer recycling. AIP conference proceedings. 1914. 80004–80004. 5 indexed citations
12.
Sobczak, Ł., et al.. (2017). Elongational rheology of glass-fiber and natural-fiber-reinforced polypropylenes with a novel online rheometer. AIP conference proceedings. 1914. 110002–110002. 3 indexed citations
13.
Marschik, Christian, et al.. (2017). Modeling devolatilization in single- and multi-screw extruders. AIP conference proceedings. 1914. 80006–80006. 3 indexed citations
14.
Miethlinger, Jürgen, et al.. (2016). Methoden zur in-line Untersuchung des Einflusses der Molmasse und Vorgeschichte von wandgleitenden Kunststoffschmelzen auf deren Strömungsprofil. tm - Technisches Messen. 83(11). 628–646. 2 indexed citations
15.
Miethlinger, Jürgen, et al.. (2015). Determining the residence time distribution of various screw elements in a co-rotating twin-screw extruder by means of fluorescence spectroscopy. AIP conference proceedings. 1664. 20005–20005. 8 indexed citations
16.
Buchegger, Thomas, et al.. (2015). In-line flow measurement of molten PLA in capillary flow channels using ultrasound. 81. 151–156. 2 indexed citations
17.
Aigner, Michael, et al.. (2014). Verifying the Melting Behavior in Single-Screw Plasticization Units Using a Novel Simulation Model and Experimental Method. International Polymer Processing. 29(5). 624–634. 7 indexed citations
18.
Miethlinger, Jürgen, et al.. (2013). Application of the Network Simulation Method to Flat Dies with Inverted Prelands. International Polymer Processing. 28(3). 322–330. 5 indexed citations
19.
Miethlinger, Jürgen, et al.. (2013). Adaptation of in-line ultrasonic velocimetry to melt flow measurement in polymer extrusion. Measurement Science and Technology. 24(10). 107002–107002. 5 indexed citations
20.
Aigner, Michael, et al.. (2013). Influence of fiber orientation and length distribution on the rheological characterization of glass-fiber-filled polypropylene. Polymer Testing. 32(3). 535–544. 44 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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