Nadja Schömig

966 total citations
25 papers, 697 citations indexed

About

Nadja Schömig is a scholar working on Social Psychology, Safety, Risk, Reliability and Quality and Automotive Engineering. According to data from OpenAlex, Nadja Schömig has authored 25 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Social Psychology, 10 papers in Safety, Risk, Reliability and Quality and 7 papers in Automotive Engineering. Recurrent topics in Nadja Schömig's work include Human-Automation Interaction and Safety (20 papers), Traffic and Road Safety (8 papers) and Safety Warnings and Signage (8 papers). Nadja Schömig is often cited by papers focused on Human-Automation Interaction and Safety (20 papers), Traffic and Road Safety (8 papers) and Safety Warnings and Signage (8 papers). Nadja Schömig collaborates with scholars based in Germany, Netherlands and Sweden. Nadja Schömig's co-authors include G. Schmidt, Bernhard Wandtner, Barbara Metz, Katharina Wiedemann, Frederik Naujoks, Hans‐Peter Krüger, Andreas Keinath, Alexandra Neukum, Sebastian Hergeth and Christian Gold and has published in prestigious journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Safety Science and Transportation Research Part F Traffic Psychology and Behaviour.

In The Last Decade

Nadja Schömig

25 papers receiving 684 citations

Peers

Nadja Schömig

SRRQ

ECP

PTSTR

Katharina Wiedemann Germany

Alexandra Neukum Germany

Brandon J. Pitts United States

Kathrin Zeeb Germany

Mishel Johns United States

Brian Mok United States

Pavlo Bazilinskyy Netherlands

Sebastiaan M. Petermeijer Netherlands

Barbara Metz Germany

Christian Purucker Germany

Katharina Wiedemann Germany

Nadja Schömig

551 ×0.9

351 ×1.0

SRRQ

231 ×1.1

53 ×0.5

ECP

83 ×0.9

PTSTR

Citations per year, relative to Nadja Schömig Nadja Schömig (= 1×) peers Katharina Wiedemann

Countries citing papers authored by Nadja Schömig

Since Specialization

Citations

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

Fields of papers citing papers by Nadja Schömig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadja Schömig

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

All Works

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20 of 20 papers shown

Wiedemann, Katharina, Nadja Schömig, Frederik Naujoks, Alexandra Neukum, & Andreas Keinath. (2023). Method for the evaluation of distraction effects of head-up displays in vehicles using the example of smart glasses. International Journal of Human Factors and Ergonomics. 10(3). 235–264. 1 indexed citations

Schömig, Nadja, et al.. (2022). PADA-AD Test - a standardized test method for assessing takeover performance of drivers during automated driving. MethodsX. 9. 101901–101901. 3 indexed citations

Schömig, Nadja, et al.. (2022). Measuring workload effects of augmented reality head-up displays using detection response task. Transportation Research Part F Traffic Psychology and Behaviour. 92. 201–219. 9 indexed citations

Schömig, Nadja, et al.. (2022). S.A.D.E.—A Standardized, Scenario-Based Method for the Real-Time Assessment of Driver Interaction with Partially Automated Driving Systems. Information. 13(11). 538–538. 1 indexed citations

Wiedemann, Katharina, Frederik Naujoks, Nadja Schömig, Alexandra Neukum, & Andreas Keinath. (2022). Method for the Evaluation of Distraction Effects of Head-Up Displays in Vehicles Using the Example of Smart Glasses. SSRN Electronic Journal. 1 indexed citations

Naujoks, Frederik, Sebastian Hergeth, Andreas Keinath, Nadja Schömig, & Katharina Wiedemann. (2020). Editorial for Special Issue: Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles. Information. 11(9). 403–403. 2 indexed citations

Schömig, Nadja, Katharina Wiedemann, Sebastian Hergeth, et al.. (2020). Checklist for Expert Evaluation of HMIs of Automated Vehicles—Discussions on Its Value and Adaptions of the Method within an Expert Workshop. Information. 11(4). 233–233. 12 indexed citations

Naujoks, Frederik, Sebastian Hergeth, Andreas Keinath, Katharina Wiedemann, & Nadja Schömig. (2019). Development and application of an expert assessment method for evaluating the usability of SAE Level 3 ADS HMIs. 2 indexed citations

Naujoks, Frederik, Sebastian Hergeth, Katharina Wiedemann, et al.. (2019). Test procedure for evaluating the human–machine interface of vehicles with automated driving systems. Traffic Injury Prevention. 20(sup1). S146–S151. 23 indexed citations

10.

Naujoks, Frederik, et al.. (2018). Expert-based controllability assessment of control transitions from automated to manual driving. MethodsX. 5. 579–592. 35 indexed citations

11.

Schömig, Nadja, et al.. (2018). An Augmented Reality Display for Conditionally Automated Driving. 137–141. 29 indexed citations

12.

Wandtner, Bernhard, Nadja Schömig, & G. Schmidt. (2018). Effects of Non-Driving Related Task Modalities on Takeover Performance in Highly Automated Driving. Human Factors The Journal of the Human Factors and Ergonomics Society. 60(6). 870–881. 126 indexed citations

13.

Wandtner, Bernhard, Nadja Schömig, & G. Schmidt. (2018). Secondary task engagement and disengagement in the context of highly automated driving. Transportation Research Part F Traffic Psychology and Behaviour. 58. 253–263. 57 indexed citations

14.

Naujoks, Frederik, Sebastian Hergeth, Katharina Wiedemann, Nadja Schömig, & Andreas Keinath. (2018). Use Cases for Assessing, Testing, and Validating the Human Machine Interface of Automated Driving Systems. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 62(1). 1873–1877. 26 indexed citations

15.

Naujoks, Frederik, Katharina Wiedemann, & Nadja Schömig. (2017). The Importance of Interruption Management for Usefulness and Acceptance of Automated Driving. 254–263. 30 indexed citations

16.

Schömig, Nadja, et al.. (2017). Benefits of Personalization in the Context of a Speech-Based Left-Turn Assistant. 193–201. 14 indexed citations

17.

Schömig, Nadja & Barbara Metz. (2012). Three levels of situation awareness in driving with secondary tasks. Safety Science. 56. 44–51. 45 indexed citations

18.

Metz, Barbara, Nadja Schömig, & Hans‐Peter Krüger. (2011). Attention during visual secondary tasks in driving: Adaptation to the demands of the driving task. Transportation Research Part F Traffic Psychology and Behaviour. 14(5). 369–380. 79 indexed citations

19.

Flemisch, Frank, et al.. (2011). HAVEit Deliverable D.33.6: Validation of concept on optimum task repartition. elib (German Aerospace Center). 3 indexed citations

20.

Flemisch, Frank, et al.. (2010). HAVEit Deliverable D33.3: Validation of preliminary design bysimulation. 13(3). 337–41. 1 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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