Christian Buck

1.5k total citations
18 papers, 846 citations indexed

About

Christian Buck is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Christian Buck has authored 18 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Christian Buck's work include Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Semantic Web and Ontologies (4 papers). Christian Buck is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Semantic Web and Ontologies (4 papers). Christian Buck collaborates with scholars based in United Kingdom, United States and Spain. Christian Buck's co-authors include Philipp Koehn, Barry Haddow, Lucia Specia, Ondřej Bojar, Christian Federmann, Matt Post, Christof Monz, Radu Soricut, Hervé Saint-Amand and Pavel Pecina and has published in prestigious journals such as Language Resources and Evaluation, Machine Translation and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Christian Buck

18 papers receiving 734 citations

Peers

Christian Buck
Comparison fields: 5 of 68
  • Artificial Intelligence 770
  • Computer Vision and Pattern Recognition 160
  • Information Systems 76
  • Molecular Biology 47
  • Signal Processing 25
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Citations per field, relative to Christian Buck
Christian Buck · 1×
Citations per year, relative to Christian Buck
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Countries citing papers authored by Christian Buck

Since Specialization
Citations

This map shows the geographic impact of Christian Buck'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 Christian Buck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Buck more than expected).

Fields of papers citing papers by Christian Buck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Buck. 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 Christian Buck. The network helps show where Christian Buck may publish in the future.

Co-authorship network of co-authors of Christian Buck

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Buck. A scholar is included among the top collaborators of Christian Buck 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 Christian Buck. Christian Buck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
40
2
Proceedings of 2nd Workshop on Natural Language Processing for Translation Memories (NLP4TM 2016)
2
3 27
4 19
5
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers
1
6 335
7
THE MATECAT TOOL
37
8
N-gram Counts and Language Models from the Common Crawl
77
9 15
10 30
11
Findings of the 2013 Workshop on Statistical Machine Translation
179
12
Proceedings of the Eighth Workshop on Statistical Machine Translation
6
13
The Feasibility of HMEANT as a Human MT Evaluation Metric
9
14
FBK-UEdin Participation to the WMT13 Quality Estimation Shared Task
19
15
Advanced Computer Aided Translation with a Web-Based Workbench
7
16
Evaluating the Learning Curve of Domain Adaptive Statistical Machine Translation Systems
8
17
Black Box Features for the WMT 2012 Quality Estimation Shared Task
11
18
Logistic Model Trees with AUC split criterion for the KDD cup 2009 small challenge
24

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.

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