Anke Dittmar

570 citations
39 papers · 222 · h-index 7

Impact in

Papers in

Anke Dittmar

33 papers receiving 207 citations

Peers

Anke Dittmar
Comparison fields: 5 of 62
  • Human-Computer Interaction 62
  • Issues, ethics and legal aspects 7
  • Software 14
  • Pulmonary and Respiratory Medicine 90
  • Signal Processing 33
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Ann Yuan United States
Francisco E. Martínez‐Pérez Mexico
Michael Falcone United States
Dimitrios Nastos Greece
William Cheung United States
Jesús Bermúdez Spain
Marcos César da Rocha Seruffo Brazil
Hira Zahid Pakistan
Ian Ferguson United Kingdom
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Citations per year

Countries citing papers authored by Anke Dittmar

Since Specialization
Citations

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

Fields of papers citing papers by Anke Dittmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Anke Dittmar, 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 Anke Dittmar Line = papers co-authored together Anke Dittmar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000107
2 200412
3 201511
4 200511
5 20158
6
From Models to Interactive Systems Tool Support and XIML.
20048
7
Autonomic estimated basic emotions induced by primary tastes
20007
8 20216
9 20145
10 20165
11 20194
12 20174
13 20133
14 20173
15 20103
16
Software development and open user communities.
20012
17 20192
18 20242
19 20092
20
Coordination in Perioperative Systems - A Tacit View.
20112

About Anke Dittmar

Anke Dittmar is a scholar working on Human-Computer Interaction, Artificial Intelligence, Information Systems, Software and Management of Technology and Innovation, having authored 39 papers that have together received 222 indexed citations. Recurring topics across this work include Usability and User Interface Design (21 papers), Innovative Human-Technology Interaction (10 papers), Advanced Software Engineering Methodologies (7 papers), Model-Driven Software Engineering Techniques (5 papers), Persona Design and Applications (5 papers), Business Process Modeling and Analysis (4 papers), Design Education and Practice (4 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Human-Computer Interaction (62 citations), Issues, ethics and legal aspects (7 citations), Software (14 citations), Pulmonary and Respiratory Medicine (90 citations) and Signal Processing (33 citations). Anke Dittmar has collaborated with scholars based in Germany, New Zealand and United States. Frequent co-authors include Thomas Penzel, Volker Groß, Peter Forbrig, D. Reichart, Judy Bowen, Andreas Wolff, Olivier Robin, Michael D. Harrison, Benjamin Weyers and Dianne Murray. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, American Journal of Respiratory and Critical Care Medicine, Behaviour and Information Technology, interactions and Research Commons (University of Waikato).

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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