This map shows the geographic impact of John K. Pate'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 John K. Pate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John K. Pate more than expected).
This network shows the impact of papers produced by John K. Pate. 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 John K. Pate. The network helps show where John K. Pate may publish in the future.
Co-authorship network of co-authors of John K. Pate
This figure shows the co-authorship network connecting the top 25 collaborators of John K. Pate.
A scholar is included among the top collaborators of John K. Pate 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 John K. Pate. John K. Pate is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
16 of 16 papers shown
1.
Pate, John K.. (2017). Optimization of American English, Spanish, and Mandarin Chinese over time for efficient communication.. Cognitive Science.1 indexed citations
2.
Pate, John K. & Mark Johnson. (2016). Grammar induction from (lots of) words alone. International Conference on Computational Linguistics. 23–32.10 indexed citations
3.
Zhao, Zhendong, Lan Du, Benjamin Börschinger, et al.. (2015). Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing.193 indexed citations
Pate, John K. & Sharon Goldwater. (2011). Predictability effects in adult-directed and infant-directed speech: Does the listener matter?. Cognitive Science. 33(33).4 indexed citations
12.
Pate, John K. & Sharon Goldwater. (2011). Unsupervised Syntactic Chunking with Acoustic Cues: Computational Models for Prosodic Bootstrapping. Meeting of the Association for Computational Linguistics. 20–29.12 indexed citations
13.
Pate, John K. & Sharon Goldwater. (2011). Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics.2 indexed citations
Pate, John K. & Detmar Meurers. (2007). Refining Syntactic Categories Using Local Contexts — Experiments in Unlexicalized PCFG Parsing. DSpace repository (University of Tartu).2 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.