S Mach

479 total citations
5 papers, 284 citations indexed

About

S Mach is a scholar working on Biomedical Engineering, Industrial and Manufacturing Engineering and Social Psychology. According to data from OpenAlex, S Mach has authored 5 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Biomedical Engineering, 2 papers in Industrial and Manufacturing Engineering and 1 paper in Social Psychology. Recurrent topics in S Mach's work include Digital Transformation in Industry (2 papers), Ergonomics and Human Factors (2 papers) and Innovation, Technology, and Society (1 paper). S Mach is often cited by papers focused on Digital Transformation in Industry (2 papers), Ergonomics and Human Factors (2 papers) and Innovation, Technology, and Society (1 paper). S Mach collaborates with scholars based in Germany, Finland and Ireland. S Mach's co-authors include Franziska Schmalfuß, Päivi Heikkilä, Eija Kaasinen, Timo Kuula, Susanna Aromaa, Marja Liinasuo, Rakesh Mehta, Menouer Boubekeur, Juhani Heilala and Thomas Walter and has published in prestigious journals such as Accident Analysis & Prevention, Computers & Industrial Engineering and Applied Ergonomics.

In The Last Decade

S Mach

5 papers receiving 275 citations

Peers

S Mach
S Mach
Citations per year, relative to S Mach S Mach (= 1×) peers Franziska Schmalfuß

Countries citing papers authored by S Mach

Since Specialization
Citations

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

Fields of papers citing papers by S Mach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Mach

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

All Works

5 of 5 papers shown
1.
Mach, S, et al.. (2022). Assessing mental workload with wearable devices – Reliability and applicability of heart rate and motion measurements. Applied Ergonomics. 105. 103855–103855. 21 indexed citations
2.
Kaasinen, Eija, Franziska Schmalfuß, Cemalettin Öztürk, et al.. (2019). Empowering and engaging industrial workers with Operator 4.0 solutions. Computers & Industrial Engineering. 139. 105678–105678. 205 indexed citations
3.
Schleinitz, Katja, et al.. (2018). (E-)Cyclists running the red light – The influence of bicycle type and infrastructure characteristics on red light violations. Accident Analysis & Prevention. 122. 99–107. 38 indexed citations
4.
Heikkilä, Päivi, et al.. (2018). Quantified Factory Worker - Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices. Trepo - Institutional Repository of Tampere University. 202–211. 13 indexed citations
5.
Attig, Christiane, S Mach, Daniel Wessel, et al.. (2018). Technikaffinität als Ressource für die Arbeit in Industrie 4.0. 3. 7 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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