Markus Heß

154 total papers · 1.2k total citations
31 papers, 741 citations indexed

About

Markus Heß is a scholar working on Mechanics of Materials, Mechanical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Markus Heß has authored 31 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanics of Materials, 16 papers in Mechanical Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Markus Heß's work include Adhesion, Friction, and Surface Interactions (23 papers), Tribology and Wear Analysis (14 papers) and Mechanical stress and fatigue analysis (12 papers). Markus Heß is often cited by papers focused on Adhesion, Friction, and Surface Interactions (23 papers), Tribology and Wear Analysis (14 papers) and Mechanical stress and fatigue analysis (12 papers). Markus Heß collaborates with scholars based in Germany, Switzerland and Russia. Markus Heß's co-authors include Valentin L. Popov, Emanuel Willert, Martin Amberg, Luciano F. Boesel, Dirk Hegemann, Roger Abächerli, René M. Rossi, Veronika R. Meyer, Ivan Argatov and Qiang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Applied Sciences.

In The Last Decade

Markus Heß

30 papers receiving 697 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Markus Heß 486 252 183 120 49 31 741
A. Tiwari 566 1.2× 350 1.4× 97 0.5× 145 1.2× 42 0.9× 38 820
Hongyu Lu 326 0.7× 174 0.7× 169 0.9× 93 0.8× 78 1.6× 38 738
Zheng-Yang Li 288 0.6× 185 0.7× 375 2.0× 51 0.4× 29 0.6× 39 675
Zheyu Liu 257 0.5× 125 0.5× 202 1.1× 78 0.7× 29 0.6× 62 739
Donald Ruffatto 291 0.6× 261 1.0× 579 3.2× 85 0.7× 21 0.4× 28 826
Sarah C. L. Fischer 541 1.1× 332 1.3× 178 1.0× 72 0.6× 23 0.5× 38 795
Yan Huang 129 0.3× 259 1.0× 149 0.8× 77 0.6× 36 0.7× 50 674
Fan Shi 312 0.6× 182 0.7× 232 1.3× 133 1.1× 51 1.0× 55 723
Hongjia Zhang 212 0.4× 401 1.6× 237 1.3× 48 0.4× 36 0.7× 38 813
Hamid Ghaednia 397 0.8× 269 1.1× 183 1.0× 47 0.4× 59 1.2× 32 734

Countries citing papers authored by Markus Heß

Since Specialization
Citations

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

Fields of papers citing papers by Markus Heß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Heß

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Heß. A scholar is included among the top collaborators of Markus Heß 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 Markus Heß. Markus Heß is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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