Personalizing Dialogue Agents: I have a dog, do you have pets too?

808 indexed citations
published 2018

Countries where authors are citing Personalizing Dialogue Agents: I have a dog, do you have pets too?

Specialization
Citations

This map shows the geographic impact of Personalizing Dialogue Agents: I have a dog, do you have pets too?. 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 Personalizing Dialogue Agents: I have a dog, do you have pets too? with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Personalizing Dialogue Agents: I have a dog, do you have pets too? more than expected).

Fields of papers citing Personalizing Dialogue Agents: I have a dog, do you have pets too?

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Personalizing Dialogue Agents: I have a dog, do you have pets too?. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Personalizing Dialogue Agents: I have a dog, do you have pets too?.

About Personalizing Dialogue Agents: I have a dog, do you have pets too?

This paper, published in 2018, received 808 indexed citations . Written by Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur D. Szlam, Douwe Kiela and Jason Weston covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (751 citations), Computer Vision and Pattern Recognition (120 citations), Human-Computer Interaction (67 citations), Social Psychology (46 citations) and Information Systems (44 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.

This paper is also available at doi.org/10.18653/v1/p18-1205.

Explore hit-papers with similar magnitude of impact