Ipke Wachsmuth

128 papers receiving 1.8k citations

Peers

Ipke Wachsmuth
Comparison fields: 5 of 101
  • Human-Computer Interaction 414
  • Statistics and Probability 376
  • Social Psychology 665
  • Experimental and Cognitive Psychology 334
  • Developmental and Educational Psychology 291
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Countries citing papers authored by Ipke Wachsmuth

Since Specialization
Citations

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

Fields of papers citing papers by Ipke Wachsmuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017206
2 1984187
3 2009125
4 2004124
5 2012116
6 198875
7
Max - A multimodal assistant in virtual reality construction
200367
8 200265
9 198857
10 201455
11 200839
12 198539
13 200836
14 201830
15 198530
16
MURML: A Multimodal Utterance Representation Markup Language for Conversational Agents
200229
17 198527
18 200327
19 199827
20
A knowledge-based approach for lifelike gesture animation
200026

About Ipke Wachsmuth

Ipke Wachsmuth is a scholar working on Artificial Intelligence, Social Psychology, Human-Computer Interaction, Control and Systems Engineering and Education, having authored 147 papers that have together received 2.0k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (38 papers), Speech and dialogue systems (32 papers), Mathematics Education and Teaching Techniques (19 papers), Hand Gesture Recognition Systems (17 papers), Human Motion and Animation (16 papers), Cognitive and developmental aspects of mathematical skills (15 papers), Hearing Impairment and Communication (11 papers) and Manufacturing Process and Optimization (10 papers). The work is most often cited by research in Human-Computer Interaction (414 citations), Statistics and Probability (376 citations), Social Psychology (665 citations), Experimental and Cognitive Psychology (334 citations) and Developmental and Educational Psychology (291 citations). Ipke Wachsmuth has collaborated with scholars based in Germany, United States and Cameroon. Frequent co-authors include Stefan Kopp, Thomas R. Post, Merlyn J. Behr, Hana Boukricha, Richard Lesh, Christian Becker-Asano, Iolanda Leite, Ana Paiva, Bernhard Jung and George W. Bright. Their work appears in journals such as Journal for Research in Mathematics Education, Artificial Intelligence Review, ACM Transactions on Interactive Intelligent Systems, Knowledge-Based Systems and Frontiers in Psychology.

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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