Achim Ebert

1.2k citations
148 papers · 890 · h-index 14

Impact in

Papers in

Achim Ebert

137 papers receiving 835 citations

Peers

Achim Ebert
Comparison fields: 5 of 107
  • Human-Computer Interaction 273
  • Computer Vision and Pattern Recognition 410
  • Computer Graphics and Computer-Aided Design 58
  • Information Systems and Management 64
  • Cognitive Neuroscience 122
Replace Katashi Nagao with:
Katashi Nagao Japan
Virginio Cantoni Italy
Benjamin Lee United States
Rich Gossweiler United States
Eduardo Veas Austria
Dave Snowdon France
Mario Gutiérrez Switzerland
Chris Brown United States
Carla Maria Dal Sasso Freitas Brazil
Joel Lanir Israel
Achim Ebert relative to Katashi Nagao Japan Katashi Nagao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Achim Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Achim Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Achim Ebert, 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 Achim Ebert Line = papers co-authored together Achim Ebert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human-Centered Visualization Environments
200861
2
Virtual Try-On : Topics in Realistic, Individualized Dressing in Virtual Reality
200431
3 201229
4 201127
5 202325
6
Detecting Insight and Emotion in Visualization Applications with a Commercial EEG Headset
201125
7 200021
8 200620
9 200619
10 201817
11 200716
12 200915
13 201314
14 202213
15 201113
16 201212
17 201512
18 201212
19 200911
20 200311

About Achim Ebert

Achim Ebert is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Information Systems, Artificial Intelligence and Cognitive Neuroscience, having authored 148 papers that have together received 890 indexed citations. Recurring topics across this work include Data Visualization and Analytics (48 papers), Interactive and Immersive Displays (38 papers), Usability and User Interface Design (26 papers), Augmented Reality Applications (20 papers), Computer Graphics and Visualization Techniques (15 papers), Virtual Reality Applications and Impacts (15 papers), Multimedia Communication and Technology (14 papers) and Software Engineering Research (14 papers). The work is most often cited by research in Human-Computer Interaction (273 citations), Computer Vision and Pattern Recognition (410 citations), Computer Graphics and Computer-Aided Design (58 citations), Information Systems and Management (64 citations) and Cognitive Neuroscience (122 citations). Achim Ebert has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Andreas Kerren, Daniel Cernea, Shah Rukh Humayoun, Nahum Gershon, Gerrit C. van der Veer, Stefan Agne, Daniel Görges, Jens Bauer, Bernd Hamann and Hans Hagen. Their work appears in journals such as Lecture notes in computer science, Water Science & Technology, IEEE Transactions on Visualization and Computer Graphics, Big Data and Cognitive Computing and Information Visualization.

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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