This map shows the geographic impact of Jonathan May'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 Jonathan May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan May more than expected).
This network shows the impact of papers produced by Jonathan May. 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 Jonathan May. The network helps show where Jonathan May may publish in the future.
Co-authorship network of co-authors of Jonathan May
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan May.
A scholar is included among the top collaborators of Jonathan May 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 Jonathan May. Jonathan May is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gheini, Mozhdeh, Xiang Ren, & Jonathan May. (2021). On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation.. arXiv (Cornell University).1 indexed citations
Lu, Di, Heng Ji, Jonathan May, et al.. (2020). Cross-lingual Structure Transfer for Zero-resource Event Extraction. Language Resources and Evaluation. 1976–1981.5 indexed citations
Choi, Eunsol, et al.. (2016). Extracting Structured Scholarly Information from the Machine Translation Literature. Language Resources and Evaluation. 421–425.3 indexed citations
14.
May, Jonathan, et al.. (2014). An Arabizi-English social media statistical machine translation system.. Conference of the Association for Machine Translation in the Americas. 329–341.10 indexed citations
15.
Hopkins, Mark & Jonathan May. (2013). Models of Translation Competitions. Meeting of the Association for Computational Linguistics. 1416–1424.11 indexed citations
16.
Pighin, Daniele, Lluı́s Màrquez, & Jonathan May. (2012). An Analysis (and an Annotated Corpus) of User Responses to Machine Translation Output. Language Resources and Evaluation. 1131–1136.4 indexed citations
17.
May, Jonathan, Kevin Knight, & Heiko Vogler. (2010). Efficient Inference through Cascades of Weighted Tree Transducers. Meeting of the Association for Computational Linguistics. 1058–1066.7 indexed citations
May, Jonathan & Kevin Knight. (2007). Syntactic Re-Alignment Models for Machine Translation. Empirical Methods in Natural Language Processing. 360–368.28 indexed citations
20.
Xu, Jinxi, et al.. (2002). TREC 2002 QA at BBN: Answer Selection and Confidence Estimation.. Text REtrieval Conference.28 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.