Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A probabilistic earley parser as a psycholinguistic model
This map shows the geographic impact of John Hale'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 Hale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hale more than expected).
This network shows the impact of papers produced by John Hale. 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 Hale. The network helps show where John Hale may publish in the future.
Co-authorship network of co-authors of John Hale
This figure shows the co-authorship network connecting the top 25 collaborators of John Hale.
A scholar is included among the top collaborators of John Hale 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 Hale. John Hale is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hale, John, et al.. (2018). Processing MWEs: Neurocognitive Bases of Verbal MWEs and Lexical Cohesiveness within MWEs. International Conference on Computational Linguistics. 6–17.1 indexed citations
Li, Jixing, et al.. (2016). Temporal Lobes as Combinatory Engines for both Form and Meaning. International Conference on Computational Linguistics. 186–191.1 indexed citations
Hunter, Tim B., et al.. (2014). Modeling sentence processing difficulty with a conditional probability calculator. Cognitive Science. 36(36).3 indexed citations
16.
Whitman, John, et al.. (2010). Subject-Object Asymmetries in Korean Sentence Comprehension. eScholarship (California Digital Library). 32(32).8 indexed citations
17.
Boston, Marisa Ferrara, John Hale, Reinhold Kliegl, Umesh Patil, & Shravan Vasishth. (2008). Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus. publish.UP (University of Potsdam).82 indexed citations
Hale, John & Paul Smolensky. (2001). A Parser for Harmonic Context-Free Grammars. eScholarship (California Digital Library). 23(23).2 indexed citations
20.
Ge, Niyu, John Hale, & Eugene Charniak. (1998). A Statistical Approach to Anaphora Resolution. Meeting of the Association for Computational Linguistics.148 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.