Countries citing papers authored by Casey Kennington
Since
Specialization
Citations
This map shows the geographic impact of Casey Kennington'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 Casey Kennington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey Kennington more than expected).
Fields of papers citing papers by Casey Kennington
This network shows the impact of papers produced by Casey Kennington. 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 Casey Kennington. The network helps show where Casey Kennington may publish in the future.
Co-authorship network of co-authors of Casey Kennington
This figure shows the co-authorship network connecting the top 25 collaborators of Casey Kennington.
A scholar is included among the top collaborators of Casey Kennington 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 Casey Kennington. Casey Kennington is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fails, Jerry Alan, et al.. (2020). KidSpell: A Child-Oriented, Rule-Based, Phonetic Spellchecker. Language Resources and Evaluation. 6937–6946.6 indexed citations
Booth, Eric G., et al.. (2020). Evaluating and Improving Child-Directed Automatic Speech Recognition. Language Resources and Evaluation. 6340–6345.6 indexed citations
12.
Kondratyuk, Dan, et al.. (2019). Cross Framework Meaning Representation Parsing. Scholar Works (Boise State University).15 indexed citations
13.
Kennington, Casey, et al.. (2015). A Discriminative Model for Perceptually-Grounded Incremental Reference Resolution. PUB – Publications at Bielefeld University (Bielefeld University). 16(1). 195–205.8 indexed citations
14.
Kennington, Casey, et al.. (2014). Situated Incremental Natural Language Understanding using a Multimodal, Linguistically-driven Update Model. Publikationen an der Universität Bielefeld (Universität Bielefeld). 1803–1812.4 indexed citations
15.
Kennington, Casey, et al.. (2013). Investigating speaker gaze and pointing behaviour in human-computer interaction with the mint.tools collection. PUB – Publications at Bielefeld University (Bielefeld University). 319–323.8 indexed citations
16.
Kennington, Casey, et al.. (2013). Interpreting Situated Dialogue Utterances: an Update Model that Uses Speech, Gaze, and Gesture Information. PUB – Publications at Bielefeld University (Bielefeld University). 173–182.27 indexed citations
17.
Kennington, Casey & David Schlangen. (2012). Markov Logic Networks for Situated Incremental Natural Language Understanding. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 314–323.10 indexed citations
18.
Kennington, Casey, Martin Kay, & Annemarie Friedrich. (2012). Suffix Trees as Language Models. Language Resources and Evaluation. 446–453.2 indexed citations
19.
Xu, Jia, et al.. (2011). DFKI Hybrid Machine Translation System for WMT 2011 - On the Integration of SMT and RBMT. Workshop on Statistical Machine Translation. 485–489.3 indexed citations
20.
Graham, Charles R., et al.. (2008). Elicited Imitation as an Oral Proficiency Measure with ASR Scoring. Language Resources and Evaluation. 23(11). 246–9.26 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.