Countries citing papers authored by Wolfgang Minker
Since
Specialization
Citations
This map shows the geographic impact of Wolfgang Minker'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 Wolfgang Minker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfgang Minker more than expected).
This network shows the impact of papers produced by Wolfgang Minker. 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 Wolfgang Minker. The network helps show where Wolfgang Minker may publish in the future.
Co-authorship network of co-authors of Wolfgang Minker
This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Minker.
A scholar is included among the top collaborators of Wolfgang Minker 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 Wolfgang Minker. Wolfgang Minker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kraus, Matthias, et al.. (2020). A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation.. Language Resources and Evaluation. 429–435.2 indexed citations
7.
Ivanko, Denis, et al.. (2018). Contextual Dependencies in Time-Continuous Multidimensional Affect Recognition.. Language Resources and Evaluation.4 indexed citations
8.
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
9.
Schmitt, Alexander, et al.. (2016). Could Speaker, Gender or Age Awareness be beneficial in Speech-based Emotion Recognition?. Language Resources and Evaluation. 61–68.2 indexed citations
Ultes, Stefan, et al.. (2014). First Insight into Quality-Adaptive Dialogue. Language Resources and Evaluation. 246–251.3 indexed citations
12.
Nothdurft, Florian & Wolfgang Minker. (2012). Using Multimodal Resources for Explanation Approaches in Technical Systems. Language Resources and Evaluation. 411–415.3 indexed citations
13.
Semenkin, Eugene, et al.. (2012). Speech and Language Resources for LVCSR of Russian. Language Resources and Evaluation. 3374–3377.3 indexed citations
14.
Nothdurft, Florian, et al.. (2012). Adaptive Speech Understanding for Intuitive Model-based Spoken Dialogues. Language Resources and Evaluation. 1281–1288.1 indexed citations
15.
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
Hoffmann, Holger, Wolfgang Minker, Heiko Neumann, et al.. (2008). The PIT Corpus of German Multi-Party Dialogues.. Language Resources and Evaluation.9 indexed citations
18.
Hoffmann, Holger, Wolfgang Minker, Heiko Neumann, et al.. (2006). Wizard-of-Oz Data Collection for Perception and Interaction in Multi-User Environments. Language Resources and Evaluation. 2014–2017.13 indexed citations
19.
André, Elisabeth, Laila Dybkjær, Wolfgang Minker, Heiko Neumann, & Michael Weber. (2006). Perception and Interactive Technologies: International Tutorial and Research Workshop, Kloster Irsee, PIT 2006, Germany, June 19-21, 2006 (Lecture Notes in Computer Science). Springer eBooks.1 indexed citations
20.
Minker, Wolfgang. (2004). Comparative Evaluation of a Stochastic Parser on Semantic and Syntactic-semantic Labels. Language Resources and Evaluation.1 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.