Timo Baumann

985 total citations
64 papers, 610 citations indexed

About

Timo Baumann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Timo Baumann has authored 64 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Timo Baumann's work include Speech and dialogue systems (41 papers), Natural Language Processing Techniques (32 papers) and Topic Modeling (28 papers). Timo Baumann is often cited by papers focused on Speech and dialogue systems (41 papers), Natural Language Processing Techniques (32 papers) and Topic Modeling (28 papers). Timo Baumann collaborates with scholars based in Germany, United States and Denmark. Timo Baumann's co-authors include David Schlangen, Michaela Atterer, Hendrik Buschmeier, Stefan Kopp, Ashutosh Saboo, Nigel G. Ward, Alejandro de la Vega, Casey Kennington, Stefan Heinrich and Stefan Wermter and has published in prestigious journals such as Speech Communication, Language Resources and Evaluation and Frontiers in Robotics and AI.

In The Last Decade

Timo Baumann

57 papers receiving 539 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Timo Baumann Germany 17 525 94 62 56 51 64 610
Antoine Raux United States 18 1.2k 2.2× 155 1.6× 137 2.2× 90 1.6× 66 1.3× 46 1.3k
Masafumi Nishida Japan 10 203 0.4× 85 0.9× 78 1.3× 85 1.5× 61 1.2× 57 380
Iwan de Kok Netherlands 9 195 0.4× 120 1.3× 33 0.5× 67 1.2× 22 0.4× 18 303
Casey Kennington United States 11 284 0.5× 65 0.7× 67 1.1× 23 0.4× 11 0.2× 50 355
Brigitte Krenn Austria 9 532 1.0× 63 0.7× 34 0.5× 99 1.8× 9 0.2× 37 617
Shinya Fujie Japan 9 178 0.3× 154 1.6× 42 0.7× 18 0.3× 30 0.6× 40 301
Yasuo Horiuchi Japan 8 239 0.5× 46 0.5× 42 0.7× 120 2.1× 80 1.6× 49 410
Markus Guhe United Kingdom 10 251 0.5× 63 0.7× 66 1.1× 20 0.4× 15 0.3× 41 384
Hung‐Hsuan Huang Japan 9 151 0.3× 93 1.0× 59 1.0× 11 0.2× 31 0.6× 62 268
Divesh Lala Japan 10 161 0.3× 136 1.4× 46 0.7× 23 0.4× 12 0.2× 45 261

Countries citing papers authored by Timo Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Timo Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Baumann

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Baumann. A scholar is included among the top collaborators of Timo Baumann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Timo Baumann. Timo Baumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Krüger, Norbert, Kerstin Fischer, Poramate Manoonpong, et al.. (2021). The SMOOTH-Robot: A Modular, Interactive Service Robot. Frontiers in Robotics and AI. 8. 645639–645639. 8 indexed citations
2.
Koller, Alexander, et al.. (2018). DialogOS: Simple and extensible dialog modeling. Conference of the International Speech Communication Association. 167–168. 2 indexed citations
3.
Baumann, Timo, et al.. (2018). Analysis of Rhythmic Phrasing: Feature Engineering vs. Representation Learning for Classifying Readout Poetry.. 44–49.
4.
Baumann, Timo, et al.. (2018). Style Detection for Free Verse Poetry from Text and Speech. International Conference on Computational Linguistics. 1929–1940. 5 indexed citations
5.
Baumann, Timo, et al.. (2016). Mining the Spoken Wikipedia for Speech Data and Beyond. Language Resources and Evaluation. 4644–4647. 21 indexed citations
6.
Baumann, Timo, et al.. (2016). Predictive Incremental Parsing Helps Language Modeling. International Conference on Computational Linguistics. 268–277. 2 indexed citations
7.
Baumann, Timo, et al.. (2016). Large-scale Analysis of Spoken Free-verse Poetry. International Conference on Computational Linguistics. 125–130. 1 indexed citations
8.
Baumann, Timo, Srinivas Bangalore, & Julia Hirschberg. (2014). Towards Simultaneous Interpreting: The Timing of Incremental Machine Translation and Speech Synthesis. IWSLT. 1 indexed citations
9.
Baumann, Timo & David Schlangen. (2013). Open-ended, Extensible System Utterances Are Preferred, Even If They Require Filled Pauses. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 260(1). 280–283. 5 indexed citations
10.
Peldszus, Andreas, et al.. (2012). Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding. PUB – Publications at Bielefeld University (Bielefeld University). 514–523. 13 indexed citations
11.
Baumann, Timo & David Schlangen. (2012). INPRO_iSS: A Component for Just-In-Time Incremental Speech Synthesis. PUB – Publications at Bielefeld University (Bielefeld University). 103–108. 27 indexed citations
12.
Baumann, Timo & David Schlangen. (2012). The InproTK 2012 release. PUB – Publications at Bielefeld University (Bielefeld University). 29–32. 39 indexed citations
13.
Baumann, Timo, et al.. (2012). Generating Situated Assisting Utterances to Facilitate Tactile-Map Understanding: A Prototype System. North American Chapter of the Association for Computational Linguistics. 13(1). 56–65. 2 indexed citations
14.
Buschmeier, Hendrik, et al.. (2012). Combining Incremental Language Generation and Incremental Speech Synthesis for Adaptive Information Presentation. PUB – Publications at Bielefeld University (Bielefeld University). 295–303. 31 indexed citations
15.
Baumann, Timo & David Schlangen. (2011). Predicting the Micro-Timing of User Input for an Incremental Spoken Dialogue System that Completes a User's Ongoing Turn. PUB – Publications at Bielefeld University (Bielefeld University). 120–129. 17 indexed citations
16.
Baumann, Timo, et al.. (2010). Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding. Publikationen an der Universität Bielefeld (Universität Bielefeld). 9–16. 22 indexed citations
17.
Schlangen, David, Timo Baumann, Hendrik Buschmeier, et al.. (2010). Middleware for Incremental Processing in Conversational Agents. PUB – Publications at Bielefeld University (Bielefeld University). 51–54. 21 indexed citations
18.
Baumann, Timo, et al.. (2010). Collaborating on Utterances with a Spoken Dialogue System Using an ISU-based Approach to Incremental Dialogue Management. Publikationen an der Universität Bielefeld (Universität Bielefeld). 233–236. 29 indexed citations
19.
Atterer, Michaela, Timo Baumann, & David Schlangen. (2008). Towards Incremental End-of-Utterance Detection in Dialogue Systems. PUB – Publications at Bielefeld University (Bielefeld University). 11–14. 17 indexed citations
20.
Förster, Stig & Timo Baumann. (2002). An der Schwelle zum Totalen Krieg : die militärische Debatte über den Krieg der Zukunft, 1919-1939. Bayerische Staatsbibliothek.

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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