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.
An Improved Non-monotonic Transition System for Dependency Parsing
2015340 citationsMatthew Honnibal, Mark Johnsonprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Matthew Honnibal
Since
Specialization
Citations
This map shows the geographic impact of Matthew Honnibal'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 Matthew Honnibal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Honnibal more than expected).
Fields of papers citing papers by Matthew Honnibal
This network shows the impact of papers produced by Matthew Honnibal. 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 Matthew Honnibal. The network helps show where Matthew Honnibal may publish in the future.
Co-authorship network of co-authors of Matthew Honnibal
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Honnibal.
A scholar is included among the top collaborators of Matthew Honnibal 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 Matthew Honnibal. Matthew Honnibal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
19 of 19 papers shown
1.
Honnibal, Matthew & Mark Johnson. (2015). An Improved Non-monotonic Transition System for Dependency Parsing. 1373–1378.340 indexed citations breakdown →
2.
Radford, Will, Daniel Tse, Joel Nothman, et al.. (2015). The Computable News project. 903–908.3 indexed citations
Honnibal, Matthew, Yoav Goldberg, & Mark Johnson. (2013). A Non-Monotonic Arc-Eager Transition System for Dependency Parsing. 163–172.24 indexed citations
5.
Nothman, Joel, Matthew Honnibal, Ben Hachey, & James Curran. (2012). Event Linking: Grounding Event Reference in a News Archive. Meeting of the Association for Computational Linguistics. 228–232.17 indexed citations
6.
Curran, James, et al.. (2012). A Sequence Labelling Approach to Quote Attribution. Empirical Methods in Natural Language Processing. 790–799.40 indexed citations
7.
Hachey, Ben, Will Radford, Joel Nothman, Matthew Honnibal, & James Curran. (2012). Evaluating Entity Linking with Wikipedia. Artificial Intelligence. 194. 130–150.155 indexed citations
8.
Honnibal, Matthew, James Curran, & Johan Bos. (2010). Rebanking CCGbank for Improved NP Interpretation. University of Groningen research database (University of Groningen / Centre for Information Technology). 207–215.13 indexed citations
9.
Honnibal, Matthew, et al.. (2010). SCHWA: PETE Using CCG Dependencies with the C&C Parser. Meeting of the Association for Computational Linguistics. 313–316.2 indexed citations
10.
Honnibal, Matthew, Jonathan K. Kummerfeld, & James Curran. (2010). Morphological Analysis Can Improve a CCG Parser for English. International Conference on Computational Linguistics. 445–453.3 indexed citations
11.
Nothman, Joel, et al.. (2010). Document-level Entity Linking: CMCRC at TAC 2010.12 indexed citations
12.
Honnibal, Matthew, et al.. (2010). Reranking a wide-coverage ccg parser. 90–98.4 indexed citations
13.
Honnibal, Matthew & Robert Dale. (2009). DAMSEL: The DSTO/Macquarie System for Entity-Linking.. Theory and applications of categories.2 indexed citations
Honnibal, Matthew, et al.. (2006). Improved Default Sense Selection forWord Sense Disambiguation. 11-17–11-17.3 indexed citations
18.
Honnibal, Matthew, et al.. (2005). Identifying FrameNet Frames for Verbs from a Real-Text Corpus. 200–206.5 indexed citations
19.
Honnibal, Matthew. (2004). Converting the Penn Treebank to Systemic Functional Grammar. 147-154–147-154.2 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.