Hannes Allmaier

1.2k total citations
40 papers, 874 citations indexed

About

Hannes Allmaier is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Hannes Allmaier has authored 40 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanical Engineering, 15 papers in Mechanics of Materials and 5 papers in Materials Chemistry. Recurrent topics in Hannes Allmaier's work include Tribology and Lubrication Engineering (32 papers), Lubricants and Their Additives (22 papers) and Gear and Bearing Dynamics Analysis (21 papers). Hannes Allmaier is often cited by papers focused on Tribology and Lubrication Engineering (32 papers), Lubricants and Their Additives (22 papers) and Gear and Bearing Dynamics Analysis (21 papers). Hannes Allmaier collaborates with scholars based in Austria, Germany and Romania. Hannes Allmaier's co-authors include David Sander, H.H. Priebsch, Franz Markus Reich, Christoph Priestner, L. Chioncel, Franz Novotny-Farkas, Enrico Arrigoni, Theodor Sams, Stefan Salhofer and M. I. Katsnelson and has published in prestigious journals such as Physical Review B, SAE technical papers on CD-ROM/SAE technical paper series and Tribology International.

In The Last Decade

Hannes Allmaier

40 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannes Allmaier Austria 18 688 356 99 81 52 40 874
Biao Hu China 16 558 0.8× 53 0.1× 295 3.0× 42 0.5× 30 0.6× 79 713
Kaiming Cheng China 14 392 0.6× 62 0.2× 253 2.6× 46 0.6× 9 0.2× 57 550
M. Klüppel Germany 10 149 0.2× 247 0.7× 169 1.7× 13 0.2× 72 1.4× 12 696
Vasilios Bakolas Germany 13 452 0.7× 424 1.2× 131 1.3× 10 0.1× 9 0.2× 20 602
J. C. Bell United States 16 613 0.9× 476 1.3× 179 1.8× 9 0.1× 34 0.7× 39 754
Ruikang Wu China 10 228 0.3× 31 0.1× 141 1.4× 17 0.2× 27 0.5× 25 428
Agata Skwarek Poland 17 352 0.5× 68 0.2× 121 1.2× 48 0.6× 6 0.1× 74 730
Xuejun Huang United States 16 330 0.5× 57 0.2× 253 2.6× 21 0.3× 10 0.2× 25 544
B. Gröger Germany 11 417 0.6× 110 0.3× 113 1.1× 244 3.0× 2 0.0× 37 538
Маzhyn Skakov Kazakhstan 12 280 0.4× 196 0.6× 473 4.8× 10 0.1× 11 0.2× 142 646

Countries citing papers authored by Hannes Allmaier

Since Specialization
Citations

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

Fields of papers citing papers by Hannes Allmaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Allmaier

This figure shows the co-authorship network connecting the top 25 collaborators of Hannes Allmaier. A scholar is included among the top collaborators of Hannes Allmaier 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 Hannes Allmaier. Hannes Allmaier 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.
Allmaier, Hannes, et al.. (2023). Application of a Wear Debris Detection System to Investigate Wear Phenomena during Running-In of a Gasoline Engine. Lubricants. 11(6). 237–237. 6 indexed citations
2.
Allmaier, Hannes, et al.. (2019). Measurement of the crankshaft seals friction losses in a modern passenger car diesel engine. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 234(7). 1106–1113. 4 indexed citations
3.
4.
Sander, David, et al.. (2018). Potentials and Risks of Reducing Friction with Future Ultra-low-viscosity Engine Oils. MTZ worldwide. 79(12). 20–27. 10 indexed citations
5.
Allmaier, Hannes, et al.. (2017). The impact of running-in on the friction of an automotive gasoline engine and in particular on its piston assembly and valve train. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 232(6). 749–756. 13 indexed citations
6.
Tormos, Bernardo, et al.. (2017). Current trends in ICE wear detection technologies: from lab to field. 2(1). 32–41. 2 indexed citations
7.
Sander, David, et al.. (2017). Journal Bearing Friction and Wear in Start/Stop Operation. MTZ worldwide. 78(2). 46–51. 6 indexed citations
8.
9.
Allmaier, Hannes, et al.. (2015). Non-Newtonian and running-in wear effects in journal bearings operating under mixed lubrication. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 230(2). 135–142. 20 indexed citations
10.
Sander, David, et al.. (2015). Simulation of journal bearing friction in severe mixed lubrication – Validation and effect of surface smoothing due to running-in. Tribology International. 96. 173–183. 109 indexed citations
11.
Allmaier, Hannes, et al.. (2015). An experimental study of the load and heat influence from combustion on engine friction. International Journal of Engine Research. 17(3). 347–353. 19 indexed citations
12.
Schaffner, T, et al.. (2014). Investigating the efficiency of automotive manual gearboxes by experiment and simulation. Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics. 228(4). 341–354. 14 indexed citations
13.
Allmaier, Hannes, David Sander, & Franz Markus Reich. (2013). Simulating Friction Power Losses in Automotive Journal Bearings. Procedia Engineering. 68. 49–55. 18 indexed citations
14.
Allmaier, Hannes, Christoph Priestner, Franz Markus Reich, H.H. Priebsch, & Franz Novotny-Farkas. (2012). Predicting friction reliably and accurately in journal bearings—extending the EHD simulation model to TEHD. Tribology International. 58. 20–28. 45 indexed citations
15.
Morari, Cristian, et al.. (2012). Electronic structure and magnetic properties of metallocene multiple-decker sandwich nanowires. Physical Review B. 85(8). 21 indexed citations
16.
Allmaier, Hannes, et al.. (2011). Predicting friction reliably and accurately in journal bearings – The importance of extensive oil-models. Tribology International. 48. 93–101. 44 indexed citations
17.
Allmaier, Hannes, L. Chioncel, Enrico Arrigoni, M. I. Katsnelson, & A. I. Lichtenstein. (2010). Half-metallicity in NiMnSb: A variational cluster approach withab initioparameters. Physical Review B. 81(5). 19 indexed citations
18.
Allmaier, Hannes, L. Chioncel, Enrico Arrigoni, M. I. Katsnelson, & A. I. Lichtenstein. (2008). Spin polarisation study of NiMnSb using the VCA. Journal of Optoelectronics and Advanced Materials. 10(7). 1671–1674. 1 indexed citations
19.
Burzo, E., et al.. (2008). Half-metallic ferromagnetism in light-rare earth nitrides. Journal of Optoelectronics and Advanced Materials. 10(2). 389–395. 2 indexed citations
20.
Chioncel, L., Hannes Allmaier, Enrico Arrigoni, et al.. (2007). Half-metallic ferromagnetism and spin polarization inCrO2. Physical Review B. 75(14). 59 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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