Andreas Lintermann

675 total citations
35 papers, 350 citations indexed

About

Andreas Lintermann is a scholar working on Computational Mechanics, Surgery and Electrical and Electronic Engineering. According to data from OpenAlex, Andreas Lintermann has authored 35 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 7 papers in Surgery and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Andreas Lintermann's work include Lattice Boltzmann Simulation Studies (10 papers), Fluid Dynamics and Turbulent Flows (7 papers) and Nasal Surgery and Airway Studies (6 papers). Andreas Lintermann is often cited by papers focused on Lattice Boltzmann Simulation Studies (10 papers), Fluid Dynamics and Turbulent Flows (7 papers) and Nasal Surgery and Airway Studies (6 papers). Andreas Lintermann collaborates with scholars based in Germany, Iceland and Japan. Andreas Lintermann's co-authors include Wolfgang Schröder, Matthias Meinke, Sang‐Sun Han, Hyung‐Seog Yu, Kee‐Joon Lee, Yoon Jeong Choi, Young-Chel Park, Soo‐Yeon Kim, Klaus Vogt and Alina Nechyporenko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Combustion and Flame.

In The Last Decade

Andreas Lintermann

32 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Lintermann Germany 9 155 80 63 60 53 35 350
Teruo Matsuzawa Japan 13 46 0.3× 195 2.4× 38 0.6× 4 0.1× 250 4.7× 49 552
Mark Brouns Belgium 7 81 0.5× 38 0.5× 121 1.9× 56 0.9× 346 6.5× 10 409
J. C. Cajas Spain 13 251 1.6× 22 0.3× 22 0.3× 67 1.1× 40 0.8× 31 442
Daniel A. Reasor United States 10 244 1.6× 14 0.2× 59 0.9× 132 2.2× 194 3.7× 30 460
Thuan Lieu United States 13 357 2.3× 6 0.1× 17 0.3× 116 1.9× 26 0.5× 21 766
Hyok Sang Lew United States 9 222 1.4× 49 0.6× 20 0.3× 9 0.1× 90 1.7× 18 564
Kookhyun Kim South Korea 9 20 0.1× 35 0.4× 17 0.3× 55 0.9× 31 0.6× 65 327
Juan Liang China 10 25 0.2× 32 0.4× 106 1.7× 45 0.8× 7 0.1× 34 394
Christos Kotsalos Switzerland 4 221 1.4× 7 0.1× 94 1.5× 42 0.7× 41 0.8× 7 326
Hikaru Otsuka Japan 8 184 1.2× 83 1.0× 6 0.1× 263 4.4× 37 0.7× 18 442

Countries citing papers authored by Andreas Lintermann

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Lintermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Lintermann

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Lintermann. A scholar is included among the top collaborators of Andreas Lintermann 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 Andreas Lintermann. Andreas Lintermann 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.
Vogt, Klaus, et al.. (2025). Towards a widespread usage of computational fluid dynamics simulations for automated virtual nasal surgery planning. Future Generation Computer Systems. 174. 107935–107935.
2.
Lintermann, Andreas, et al.. (2024). Prediction of Turbulent Boundary Layer Flow Dynamics with Transformers. Mathematics. 12(19). 2998–2998. 3 indexed citations
3.
Lintermann, Andreas, et al.. (2024). Parallel and scalable AI in HPC systems for CFD applications and beyond. SHILAP Revista de lepidopterología. 2. 2 indexed citations
5.
Vogt, Klaus, et al.. (2024). Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning. Computers in Biology and Medicine. 173. 108383–108383. 2 indexed citations
6.
Riedel, Morris, et al.. (2024). Distributed hybrid quantum-classical performance prediction for hyperparameter optimization. Quantum Machine Intelligence. 6(2).
7.
Riedel, Morris, et al.. (2023). Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks. Journal Of Big Data. 10(1). 8 indexed citations
8.
Lintermann, Andreas, et al.. (2023). Impact of the injector lateral offset on the dynamics of a lean premixed flame and the thermoacoustic stability of a burner. Combustion and Flame. 256. 112995–112995. 1 indexed citations
9.
Riedel, Morris, Sebastian Fritsch, Mirko Aach, et al.. (2023). Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC. 435–440.
10.
Riedel, Morris, Matthias Book, Helmut Neukirchen, Gabriele Cavallaro, & Andreas Lintermann. (2022). Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications. 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO). 281–286. 1 indexed citations
11.
Schröder, Wolfgang, et al.. (2022). A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows. Applied Intelligence. 52(8). 9080–9100. 8 indexed citations
12.
Koch, Walter, et al.. (2021). An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology. Medical & Biological Engineering & Computing. 60(2). 365–391. 5 indexed citations
13.
Lintermann, Andreas, et al.. (2021). Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study. Journal of Digital Imaging. 34(5). 1120–1133. 3 indexed citations
15.
Lintermann, Andreas & Wolfgang Schröder. (2020). Lattice–Boltzmann simulations for complex geometries on high-performance computers. CEAS Aeronautical Journal. 11(3). 745–766. 14 indexed citations
16.
Vogt, Klaus, Gregor Bachmann‐Harildstad, Andreas Lintermann, et al.. (2018). The new agreement of the international RIGA consensus conference on nasal airway function tests. Rhinology Journal. 56(2). 133–143. 33 indexed citations
17.
Kim, Soo‐Yeon, Young-Chel Park, Kee‐Joon Lee, et al.. (2018). Assessment of changes in the nasal airway after nonsurgical miniscrew-assisted rapid maxillary expansion in young adults. The Angle Orthodontist. 88(4). 435–441. 48 indexed citations
18.
Lintermann, Andreas. (2016). EFFICIENT PARALLEL GEOMETRY DISTRIBUTION FOR THE SIMULATION OF COMPLEX FLOWS. 1277–1293. 5 indexed citations
19.
Lintermann, Andreas, et al.. (2015). A direct-hybrid method for computational aeroacoustics. OPUS (Augsburg University). 2 indexed citations
20.
Lintermann, Andreas, Matthias Meinke, & Wolfgang Schröder. (2013). Fluid mechanics based classification of the respiratory efficiency of several nasal cavities. Computers in Biology and Medicine. 43(11). 1833–1852. 30 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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