Dan Bohus

2.9k citations
72 papers · 2k · h-index 24

Impact in

    • Speech and dialogue systems
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • AI in Service Interactions
    • Intelligent Tutoring Systems and Adaptive Learning
    • Social Robot Interaction and HRI

Papers in

Dan Bohus

69 papers receiving 1.9k citations

Peers

Dan Bohus
Comparison fields: 5 of 58
  • Artificial Intelligence 1.5k
  • Social Psychology 484
  • Human-Computer Interaction 128
  • Computer Science Applications 29
  • Language and Linguistics 75
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Citations per year

Countries citing papers authored by Dan Bohus

Since Specialization
Citations

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

Fields of papers citing papers by Dan Bohus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008204
2 2005172
3 2003152
4 2010149
5 2009120
6 2006108
7 200779
8 200978
9 200973
10 201461
11
Multiparty Turn Taking in Situated Dialog: Study, Lessons, and Directions
201159
12 200750
13 201440
14 201239
15 201137
16 202335
17 201732
18 200130
19 200528
20
Discriminative state tracking for spoken dialog systems
201326

About Dan Bohus

Dan Bohus is a scholar working on Artificial Intelligence, Human-Computer Interaction, Social Psychology, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 72 papers that have together received 2k indexed citations. Recurring topics across this work include Speech and dialogue systems (55 papers), Social Robot Interaction and HRI (11 papers), Interactive and Immersive Displays (6 papers), Speech Recognition and Synthesis (4 papers), AI-based Problem Solving and Planning (4 papers), Augmented Reality Applications (3 papers), Language, Discourse, Communication Strategies (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Social Psychology (484 citations), Human-Computer Interaction (128 citations), Computer Science Applications (29 citations) and Language and Linguistics (75 citations). Dan Bohus has collaborated with scholars based in United States, Italy and Lebanon. Frequent co-authors include Eric Horvitz, Alexander I. Rudnicky, Antoine Raux, Maxine Eskénazi, Brian Langner, Alan W. Black, Sean Andrist, Ece Semiha Kamar, Diane J. Litman and Hua Ai. Their work appears in journals such as AI Magazine, Computer Speech & Language, Lecture notes in computer science, IEEE International Conference on Acoustics Speech and Signal Processing and International Conference on Multimodal Interfaces.

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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