Klaus Macherey

6.8k total citations
13 papers, 550 citations indexed

About

Klaus Macherey is a scholar working on Artificial Intelligence, Language and Linguistics and Information Systems. According to data from OpenAlex, Klaus Macherey has authored 13 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 2 papers in Language and Linguistics and 1 paper in Information Systems. Recurrent topics in Klaus Macherey's work include Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers) and Speech and dialogue systems (4 papers). Klaus Macherey is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers) and Speech and dialogue systems (4 papers). Klaus Macherey collaborates with scholars based in Germany, United States and United Kingdom. Klaus Macherey's co-authors include Hermann Ney, Frank Wessel, Ralf Schlüter, Franz Josef Och, John DeNero, Nicola Ueffing, Andrew M. Dai, David Talbot, Ashok C. Popat and Oliver Bender and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE Transactions on Speech and Audio Processing and Language Resources and Evaluation.

In The Last Decade

Klaus Macherey

12 papers receiving 474 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Klaus Macherey Germany 9 534 192 57 17 16 13 550
Zhijian Ou China 11 395 0.7× 130 0.7× 63 1.1× 20 1.2× 17 1.1× 70 465
Christian Raymond France 9 419 0.8× 75 0.4× 52 0.9× 9 0.5× 15 0.9× 40 470
D.B. Paul United States 8 394 0.7× 247 1.3× 65 1.1× 16 0.9× 12 0.8× 12 431
P.V. de Souza United States 13 402 0.8× 207 1.1× 80 1.4× 10 0.6× 29 1.8× 21 455
Germán Bordel Spain 12 487 0.9× 304 1.6× 46 0.8× 23 1.4× 15 0.9× 68 530
Volker Steinbiss Germany 12 441 0.8× 100 0.5× 34 0.6× 22 1.3× 30 1.9× 16 485
I. Lee Hetherington United States 11 305 0.6× 113 0.6× 27 0.5× 26 1.5× 9 0.6× 18 327
Milind Mahajan United Kingdom 8 279 0.5× 150 0.8× 60 1.1× 11 0.6× 11 0.7× 13 323
G. Evermann United Kingdom 11 505 0.9× 317 1.7× 60 1.1× 26 1.5× 5 0.3× 17 521
Ivan Bulyko United States 15 578 1.1× 173 0.9× 27 0.5× 28 1.6× 18 1.1× 41 611

Countries citing papers authored by Klaus Macherey

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Macherey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Macherey

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

All Works

13 of 13 papers shown
1.
Wang, Wei, Klaus Macherey, Wolfgang Macherey, Franz Josef Och, & Peng Xu. (2012). Improved Domain Adaptation for Statistical Machine Translation. Conference of the Association for Machine Translation in the Americas. 15 indexed citations
2.
Macherey, Klaus, Andrew M. Dai, David Talbot, Ashok C. Popat, & Franz Josef Och. (2011). Language-independent compound splitting with morphological operations. Meeting of the Association for Computational Linguistics. 1395–1404. 33 indexed citations
3.
DeNero, John & Klaus Macherey. (2011). Model-Based Aligner Combination Using Dual Decomposition. Meeting of the Association for Computational Linguistics. 420–429. 21 indexed citations
4.
Genzel, Dmitriy, Klaus Macherey, & Jakob Uszkoreit. (2009). Creating a High-Quality Machine Translation System for a Low-Resource Language: Yiddish. 3 indexed citations
5.
Macherey, Klaus, Oliver Bender, & Hermann Ney. (2009). Applications of Statistical Machine Translation Approaches to Spoken Language Understanding. IEEE Transactions on Audio Speech and Language Processing. 17(4). 803–818. 7 indexed citations
6.
Guthrie, Louise, Roberto Basili, Fabio Massimo Zanzotto, et al.. (2004). Large Scale Experiments for Semantic Labeling of Noun Phrases in Raw Text.. Language Resources and Evaluation.
7.
Bender, Oliver, Klaus Macherey, Franz Josef Och, & Hermann Ney. (2003). Comparison of alignment templates and maximum entropy models for natural language understanding. 1. 11–11. 13 indexed citations
8.
Ueffing, Nicola, Klaus Macherey, & Hermann Ney. (2003). Confidence measures for statistical machine translation. 34 indexed citations
9.
Macherey, Klaus & Hermann Ney. (2003). Features for tree based dialogue course management. 601–604. 2 indexed citations
10.
Wessel, Frank, Klaus Macherey, & Ralf Schlüter. (2002). Using word probabilities as confidence measures. 1. 225–228. 67 indexed citations
11.
Wessel, Frank, Ralf Schlüter, Klaus Macherey, & Hermann Ney. (2001). Confidence measures for large vocabulary continuous speech recognition. IEEE Transactions on Speech and Audio Processing. 9(3). 288–298. 286 indexed citations
12.
Macherey, Klaus, Franz Josef Och, & Hermann Ney. (2001). Natural language understanding using statistical machine translation. 2205–2208. 34 indexed citations
13.
Wessel, Frank, Klaus Macherey, & Hermann Ney. (1999). A comparison of word graph and n-best list based confidence measures. 315–318. 35 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.

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