This map shows the geographic impact of Nina Dethlefs'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 Nina Dethlefs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Dethlefs more than expected).
This network shows the impact of papers produced by Nina Dethlefs. 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 Nina Dethlefs. The network helps show where Nina Dethlefs may publish in the future.
Co-authorship network of co-authors of Nina Dethlefs
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Dethlefs.
A scholar is included among the top collaborators of Nina Dethlefs 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 Nina Dethlefs. Nina Dethlefs is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schoene, Annika Marie, Alexander P. Turner, & Nina Dethlefs. (2020). Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets.. National Conference on Artificial Intelligence. 100–117.4 indexed citations
Dethlefs, Nina, Helen Hastie, Heriberto Cuayáhuitl, & Oliver Lemon. (2013). Conditional Random Fields for Responsive Surface Realisation using Global Features. Meeting of the Association for Computational Linguistics. 1254–1263.16 indexed citations
14.
Hastie, Helen, Oliver Lemon, & Nina Dethlefs. (2012). Incremental Spoken Dialogue Systems: Tools and Data. North American Chapter of the Association for Computational Linguistics. 15–16.1 indexed citations
15.
Dethlefs, Nina, Helen Hastie, Verena Rieser, & Oliver Lemon. (2012). Optimising Incremental Generation for Spoken Dialogue Systems: Reducing the Need for Fillers. 49–58.18 indexed citations
16.
Dethlefs, Nina & Heriberto Cuayáhuitl. (2011). Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue. 110–120.20 indexed citations
17.
Dethlefs, Nina, Heriberto Cuayáhuitl, & Jette Viethen. (2011). Optimising Natural Language Generation Decision Making For Situated Dialogue. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 78–87.14 indexed citations
18.
Dethlefs, Nina. (2011). The Bremen System for the GIVE-2.5 Challenge. 284–289.1 indexed citations
19.
Dethlefs, Nina & Heriberto Cuayáhuitl. (2011). Hierarchical Reinforcement Learning and Hidden Markov Models for Task-Oriented Natural Language Generation. Meeting of the Association for Computational Linguistics. 654–659.26 indexed citations
20.
Dethlefs, Nina & Heriberto Cuayáhuitl. (2010). Hierarchical reinforcement learning for adaptive text generation. 37–45.20 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.