Astrid Mayer

16 papers receiving 311 citations

Peers

Astrid Mayer
Comparison fields: 5 of 80
  • Emergency Medical Services 85
  • Medical Laboratory Technology 19
  • Health Information Management 39
  • Family Practice 9
  • Human-Computer Interaction 29
Replace I‐Ching Hou with:
I‐Ching Hou Taiwan
Colleen O’Leary-Kelley United States
Mustafa Ozkaynak United States
Kenric W. Hammond United States
Kathryn Momtahan Canada
Jenna L. Marquard United States
A. Joy Rivera United States
Tommaso Bellandi Italy
Leo Kobayashi United States
Virpi Jylhä Finland
Astrid Mayer relative to I‐Ching Hou Taiwan I‐Ching Hou's profile →
Citations per field
00.5×8.8×
I‐Ching Hou · 1×
Citations per year

Countries citing papers authored by Astrid Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Astrid Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Astrid Mayer, 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 Astrid Mayer Line = papers co-authored together Astrid Mayer links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201865
2 201431
3 201430
4 201627
5 201426
6 201424
7 201822
8 199222
9 201520
10 201117
11 201913
12 20138
13
The visible and the invisible: Distributed Cognition for medical devices
20116
14 20205
15 20155
16 20121

About Astrid Mayer

Astrid Mayer is a scholar working on Surgery, Health Information Management, Nephrology, Social Psychology and Radiological and Ultrasound Technology, having authored 16 papers that have together received 322 indexed citations. Recurring topics across this work include Healthcare Technology and Patient Monitoring (4 papers), Electronic Health Records Systems (4 papers), Patient Safety and Medication Errors (2 papers), Human-Automation Interaction and Safety (2 papers), Dialysis and Renal Disease Management (2 papers), Knowledge Management and Sharing (1 paper), Quality and Safety in Healthcare (1 paper) and Clinical Reasoning and Diagnostic Skills (1 paper). The work is most often cited by research in Emergency Medical Services (85 citations), Medical Laboratory Technology (19 citations), Health Information Management (39 citations), Family Practice (9 citations) and Human-Computer Interaction (29 citations). Astrid Mayer has collaborated with scholars based in United Kingdom, Egypt and United States. Frequent co-authors include Ann Blandford, Dominic Furniss, Bryony Dean Franklin, Paolo Masci, Li Wei, Paul Curzon, Anna L. Cox, Imogen Lyons, Galal H. Galal‐Edeen and Patricia C. Dykes. Their work appears in journals such as Journal of Biomedical Informatics, Cognition Technology & Work, Safety Science, BMJ Open and BMC Health Services Research.

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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