Manuela Schmidt

20 papers receiving 232 citations

Peers

Manuela Schmidt
Comparison fields: 5 of 60
  • Geography, Planning and Development 77
  • Automotive Engineering 86
  • Transportation 44
  • Human-Computer Interaction 30
  • Computer Vision and Pattern Recognition 60
Replace Steven H. Bayer with:
Steven H. Bayer United Kingdom
Jakub Krukar Germany
Tristan Kleinschmidt Australia
Luciene Stamato Delazari Brazil
Scott M. Freundschuh United States
Annu‐Maaria Nivala Finland
Ariane Tom France
Paweł Cybulski Poland
Jascha Grübel Switzerland
Kirk Goldsberry United States
Manuela Schmidt relative to Steven H. Bayer United Kingdom Steven H. Bayer's profile →
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Steven H. Bayer · 1×
Citations per year

Countries citing papers authored by Manuela Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Manuela Schmidt, 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 Manuela Schmidt Line = papers co-authored together Manuela Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201273
2 201332
3 201426
4 200926
5 202123
6 202211
7 201510
8 20119
9 20147
10 20224
11 20224
12 20234
13 20233
14
Using PLEs in Professional Learning Scenarios: – The Festo Case for ROLE
20132
15 20232
16 20102
17 20121
18 20211
19 20101
20 20161

About Manuela Schmidt

Manuela Schmidt is a scholar working on Automotive Engineering, General Health Professions, Geography, Planning and Development, Transportation and Social Psychology, having authored 23 papers that have together received 242 indexed citations. Recurring topics across this work include Spatial Cognition and Navigation (5 papers), Geographic Information Systems Studies (4 papers), Human Mobility and Location-Based Analysis (3 papers), Color perception and design (2 papers), Evacuation and Crowd Dynamics (2 papers), Urban Transport and Accessibility (2 papers), Healthcare professionals’ stress and burnout (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Geography, Planning and Development (77 citations), Automotive Engineering (86 citations), Transportation (44 citations), Human-Computer Interaction (30 citations) and Computer Vision and Pattern Recognition (60 citations). Manuela Schmidt has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Haosheng Huang, Georg Gärtner, Yan Li, Birgitta Weltermann, Lukas Degen, Tanja Seifried-Dübon, Esther Rind, Monika A. Rieger, C.P.J.M. van Elzakker and Brigitte Werners. Their work appears in journals such as International Journal of Environmental Research and Public Health, BMJ Open, KN - Journal of Cartography and Geographic Information, Cartography and Geographic Information Science and BMC Primary Care.

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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