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.
Countries citing papers authored by Kenneth Heafield
Since
Specialization
Citations
This map shows the geographic impact of Kenneth Heafield'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 Kenneth Heafield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Heafield more than expected).
Fields of papers citing papers by Kenneth Heafield
This network shows the impact of papers produced by Kenneth Heafield. 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 Kenneth Heafield. The network helps show where Kenneth Heafield may publish in the future.
Co-authorship network of co-authors of Kenneth Heafield
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Heafield.
A scholar is included among the top collaborators of Kenneth Heafield 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 Kenneth Heafield. Kenneth Heafield is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Buck, Christian, et al.. (2014). N-gram Counts and Language Models from the Common Crawl. Language Resources and Evaluation. 3579–3584.77 indexed citations
10.
Durrani, Nadir, Barry Haddow, Philipp Koehn, & Kenneth Heafield. (2014). Edinburgh’s Phrase-based Machine Translation Systems for WMT-14. Workshop on Statistical Machine Translation. 97–104.1 indexed citations
11.
Heafield, Kenneth, Philipp Koehn, & Arnon Lavie. (2013). Grouping Language Model Boundary Words to Speed K--Best Extraction from Hypergraphs. North American Chapter of the Association for Computational Linguistics. 958–968.13 indexed citations
12.
Durrani, Nadir, Barry Haddow, Kenneth Heafield, & Philipp Koehn. (2013). Edinburgh's Machine Translation Systems for European Language Pairs. Workshop on Statistical Machine Translation. 114–121.26 indexed citations
Heafield, Kenneth, Philipp Koehn, & Alon Lavie. (2012). Language Model Rest Costs and Space-Efficient Storage. Empirical Methods in Natural Language Processing. 1169–1178.7 indexed citations
15.
Heafield, Kenneth, Philipp Koehn, & Arnon Lavie. (2012). Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012, July 12-14, 2012, Jeju Island, Korea.27 indexed citations
16.
Heafield, Kenneth, et al.. (2011). Left language model state for syntactic machine translation.. Edinburgh Research Explorer (University of Edinburgh). 183–190.13 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.