Michael Denkowski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology.
According to data from OpenAlex, Michael Denkowski has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Michael Denkowski's work include Natural Language Processing Techniques (17 papers), Topic Modeling (16 papers) and Text Readability and Simplification (6 papers). Michael Denkowski is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (16 papers) and Text Readability and Simplification (6 papers). Michael Denkowski collaborates with scholars based in United States. Michael Denkowski's co-authors include Alon Lavie, Chris Dyer, Xing Niu, Marine Carpuat, Isabel Lacruz, Arnon Lavie, Waleed Ammar, Austin Matthews, Kenton Murray and Ling Wang and has published in prestigious journals such as Machine Translation, Figshare and North American Chapter of the Association for Computational Linguistics.
In The Last Decade
Michael Denkowski
16 papers
receiving
1.7k citations
Hit Papers
What are hit papers?
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.
Meteor Universal: Language Specific Translation Evaluation for Any Target Language
Countries citing papers authored by Michael Denkowski
Since
Specialization
Citations
This map shows the geographic impact of Michael Denkowski'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 Michael Denkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Denkowski more than expected).
Fields of papers citing papers by Michael Denkowski
This network shows the impact of papers produced by Michael Denkowski. 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 Michael Denkowski. The network helps show where Michael Denkowski may publish in the future.
Co-authorship network of co-authors of Michael Denkowski
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Denkowski.
A scholar is included among the top collaborators of Michael Denkowski 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 Michael Denkowski. Michael Denkowski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Denkowski, Michael & Alon Lavie. (2014). Meteor Universal: Language Specific Translation Evaluation for Any Target Language. 376–380.1151 indexed citations breakdown →
Ammar, Waleed, Victor Chahuneau, Michael Denkowski, et al.. (2013). The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References. Workshop on Statistical Machine Translation. 70–77.12 indexed citations
10.
Lavie, Alon, et al.. (2013). Analyzing and Predicting MT Utility and Post-Editing Productivity in Enterprise-scale Translation Projects.3 indexed citations
11.
Denkowski, Michael, et al.. (2012). The CMU-Avenue French-English Translation System. Workshop on Statistical Machine Translation. 261–266.20 indexed citations
12.
Denkowski, Michael & Alon Lavie. (2011). Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems. Workshop on Statistical Machine Translation. 85–91.236 indexed citations
13.
Denkowski, Michael & Alon Lavie. (2010). Extending the METEOR Machine Translation Evaluation Metric to the Phrase Level. North American Chapter of the Association for Computational Linguistics. 250–253.35 indexed citations
14.
Denkowski, Michael & Alon Lavie. (2010). METEOR-NEXT and the METEOR Paraphrase Tables: Improved Evaluation Support for Five Target Languages. Workshop on Statistical Machine Translation. 339–342.49 indexed citations
15.
Denkowski, Michael & Alon Lavie. (2010). Exploring Normalization Techniques for Human Judgments of Machine Translation Adequacy Collected Using Amazon Mechanical Turk. North American Chapter of the Association for Computational Linguistics. 57–61.10 indexed citations
16.
Denkowski, Michael, et al.. (2010). Turker-Assisted Paraphrasing for English-Arabic Machine Translation. North American Chapter of the Association for Computational Linguistics. 66–70.21 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.