Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A Network-based End-to-End Trainable Task-oriented Dialogue System
2017451 citationsTsung-Hsien Wen, David Vandyke et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Stefan Ultes'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 Stefan Ultes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Ultes more than expected).
This network shows the impact of papers produced by Stefan Ultes. 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 Stefan Ultes. The network helps show where Stefan Ultes may publish in the future.
Co-authorship network of co-authors of Stefan Ultes
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Ultes.
A scholar is included among the top collaborators of Stefan Ultes 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 Stefan Ultes. Stefan Ultes is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Minker, Wolfgang, et al.. (2020). Comparative Study of Sentence Embeddings for Contextual Paraphrasing. Language Resources and Evaluation. 6841–6851.3 indexed citations
7.
Minker, Wolfgang, et al.. (2020). Estimating User Communication Styles for Spoken Dialogue Systems.. Language Resources and Evaluation. 540–548.2 indexed citations
8.
Ostler, Daniel, et al.. (2018). Expert Evaluation of a Spoken Dialogue System in a Clinical Operating Room.. Language Resources and Evaluation.2 indexed citations
9.
Minker, Wolfgang, et al.. (2018). On the Vector Representation of Utterances in Dialogue Context. Language Resources and Evaluation.2 indexed citations
10.
Minker, Wolfgang, et al.. (2018). What Causes the Differences in Communication Styles? A Multicultural Study on Directness and Elaborateness. Language Resources and Evaluation.5 indexed citations
11.
Yoshino, Koichiro, et al.. (2017). Acquisition and Assessment of Semantic Content for the Generation of Elaborateness and Indirectness in Spoken Dialogue Systems. International Joint Conference on Natural Language Processing. 1. 915–925.1 indexed citations
12.
Rojas-Barahona, Lina M., Milica Gašić, Nikola Mrkšić, et al.. (2016). Exploiting sentence and context representations in deep neural models for spoken language understanding. Cambridge University Engineering Department Publications Database.7 indexed citations
Ultes, Stefan, et al.. (2014). Comparison of Gender- and Speaker-adaptive Emotion Recognition. Language Resources and Evaluation. 3476–3480.6 indexed citations
16.
Ultes, Stefan, et al.. (2014). First Insight into Quality-Adaptive Dialogue. Language Resources and Evaluation. 246–251.3 indexed citations
17.
Ultes, Stefan, Alexander Schmitt, & Wolfgang Minker. (2013). On Quality Ratings for Spoken Dialogue Systems -- Experts vs. Users. Cambridge University Engineering Department Publications Database. 569–578.13 indexed citations
18.
Ultes, Stefan & Wolfgang Minker. (2013). Improving Interaction Quality Recognition Using Error Correction. Cambridge University Engineering Department Publications Database. 122–126.4 indexed citations
19.
Ultes, Stefan, Alexander Schmitt, & Wolfgang Minker. (2012). Towards Quality-Adaptive Spoken Dialogue Management. North American Chapter of the Association for Computational Linguistics. 49–52.13 indexed citations
20.
Schmitt, Alexander, Stefan Ultes, & Wolfgang Minker. (2012). A Parameterized and Annotated Spoken Dialog Corpus of the CMU Let's Go Bus Information System. Language Resources and Evaluation. 3369–3373.41 indexed citations
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.