Achim Ebert

1.2k citations
110 papers · 626 indexed · h-index 12

Achim Ebert

105 papers receiving 584 citations

Peers

Achim Ebert
Comparison fields: 5 of 99
  • Human-Computer Interaction 174
  • Computer Vision and Pattern Recognition 293
  • Computer Graphics and Computer-Aided Design 45
  • Information Systems and Management 43
  • Information Systems 94
Replace Katashi Nagao with:
Katashi Nagao Japan
Yalong Yang United States
Benjamin Lee United States
Virginio Cantoni Italy
Chris Brown United States
Dave Snowdon France
David Bargeron United States
Eduardo Veas Austria
S. Joy Mountford United States
Roberto Ranon Italy
Achim Ebert relative to Katashi Nagao Japan Katashi Nagao's profile →
Citations per field
00.5×3.8×
Katashi Nagao · 1×
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-authorship network

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
#Work
1 20242
2 202321
3 20231
4 20222
5 20196
6 20176
7 20171
8 20170
9 20152
10 20156
11
Group Affective Tone Awareness and Regulation through Virtual Agents
20143
12
A Study of Emotion-triggered Adaptation Methods for Interactive Visualization
20132
13 20111
14 20115
15
A Highly Scalable Rendering Framework for Arbitrary Display and Display-in-Display Configurations.
20095
16 200910
17 20078
18
GPU Accelerated Gesture Detection for Real Time Interaction
20075
19 20039
20 20011

About Achim Ebert

Achim Ebert is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 110 papers that have together received 626 indexed citations. Recurring topics across this work include Data Visualization and Analytics (39 papers), Interactive and Immersive Displays (23 papers), Usability and User Interface Design (22 papers), Software Engineering Research (12 papers), Augmented Reality Applications (11 papers), Computer Graphics and Visualization Techniques (9 papers), Multimedia Communication and Technology (9 papers) and Tactile and Sensory Interactions (8 papers). The work is most often cited by research in Human-Computer Interaction (174 citations), Computer Vision and Pattern Recognition (293 citations) and Computer Graphics and Computer-Aided Design (45 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, Gerrit C. van der Veer, Daniel Görges, Stefan Agne, Nahum Gershon, Peter Liggesmeyer, Hans Hagen and Christopher R. Weber. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Big Data and Cognitive Computing, Water Science & Technology, Information Visualization and Transportation Research Part C Emerging Technologies.

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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