Dina Stiegemeier

403 citations
7 papers · 271 · h-index 7

Impact in

Papers in

Dina Stiegemeier

7 papers receiving 261 citations

Peers

Dina Stiegemeier
Comparison fields: 5 of 49
  • Social Psychology 215
  • Safety, Risk, Reliability and Quality 96
  • Automotive Engineering 75
  • Applied Psychology 20
  • Safety Research 31
Replace Qiaoning Zhang with:
Qiaoning Zhang United States
David Scholz Germany
Ing-Marie Jonsson United States
Hananeh Alambeigi United States
Rachel E. Stuck United States
Renate Häuslschmid Germany
Stefan Geisler Germany
Yiyun Peng United States
So Yeon Park United States
Sheldon M. Russell United States
Dina Stiegemeier relative to Qiaoning Zhang United States Qiaoning Zhang's profile →
Citations per field
00.5×1.6×
Qiaoning Zhang · 1×
Citations per year

Countries citing papers authored by Dina Stiegemeier

Since Specialization
Citations

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

Fields of papers citing papers by Dina Stiegemeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Dina Stiegemeier, 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 Dina Stiegemeier Line = papers co-authored together Dina Stiegemeier links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2019178
2 202129
3 202121
4 202315
5 202214
6 20228
7 20196

About Dina Stiegemeier

Dina Stiegemeier is a scholar working on Social Psychology, Information Systems and Management, Applied Psychology, Safety, Risk, Reliability and Quality and Automotive Engineering, having authored 7 papers that have together received 271 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (7 papers), Behavioral Health and Interventions (3 papers), Technology Adoption and User Behaviour (3 papers), Traffic and Road Safety (2 papers), Occupational Health and Safety Research (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Virtual Reality Applications and Impacts (1 paper) and Safety Warnings and Signage (1 paper). The work is most often cited by research in Social Psychology (215 citations), Safety, Risk, Reliability and Quality (96 citations), Automotive Engineering (75 citations), Applied Psychology (20 citations) and Safety Research (31 citations). Dina Stiegemeier has collaborated with scholars based in Germany and Denmark. Frequent co-authors include Martin Baumann, Johannes Kraus, David Scholz and Stefan Pfattheicher. Their work appears in journals such as Transportation Research Part F Traffic Psychology and Behaviour, Human Factors The Journal of the Human Factors and Ergonomics Society, International Journal of Human-Computer Interaction and Iowa Research Online (The University of Iowa).

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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