S Mach

9 papers receiving 368 citations

Peers

S Mach
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 207
  • Management of Technology and Innovation 49
  • Medical Laboratory Technology 7
  • Human-Computer Interaction 29
  • Management Information Systems 42
Replace Franziska Schmalfuß with:
Franziska Schmalfuß Germany
Brigita Gajšek Slovenia
Rose Challenger United Kingdom
Elias Montini Switzerland
Thomas Walter Germany
Saahil Chand New Zealand
Bzhwen A Kadir Denmark
Tuan-anh Tran Hungary
Chun–Ming Yang Taiwan
Theresa Lauraéus Finland
S Mach relative to Franziska Schmalfuß Germany Franziska Schmalfuß's profile →
Citations per field
00.5×1.5×
Franziska Schmalfuß · 1×
Citations per year

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-authors

The 22 scholars most cited alongside S Mach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S Mach Line = papers co-authored together S Mach links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2019260
2 201839
3 201826
4 202222
5 201817
6 20187
7 20183
8 20183
9 19671
10
[Demonstration of malignant gynecologic neoplasm recurrences in the small pelvis using combined lympho-pneumopelvigraphy].
19720

About S Mach

S Mach is a scholar working on Social Psychology, Biomedical Engineering, Industrial and Manufacturing Engineering, Human-Computer Interaction and Surgery, having authored 10 papers that have together received 378 indexed citations. Recurring topics across this work include Ergonomics and Human Factors (3 papers), Digital Transformation in Industry (3 papers), Human-Automation Interaction and Safety (2 papers), Innovation, Technology, and Society (1 paper), Interactive and Immersive Displays (1 paper), Behavioral Health and Interventions (1 paper), Flexible and Reconfigurable Manufacturing Systems (1 paper) and Urban Transport and Accessibility (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (207 citations), Management of Technology and Innovation (49 citations), Medical Laboratory Technology (7 citations), Human-Computer Interaction (29 citations) and Management Information Systems (42 citations). S Mach has collaborated with scholars based in Germany, Finland and Norway. Frequent co-authors include Franziska Schmalfuß, Päivi Heikkilä, Eija Kaasinen, Susanna Aromaa, Marja Liinasuo, Timo Kuula, Rakesh Mehta, Esko Petäjä, Cemalettin Öztürk and Menouer Boubekeur. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Accident Analysis & Prevention, Applied Ergonomics, Computers & Industrial Engineering and IFIP advances in information and communication technology.

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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