Gregor Leusch

841 total citations
21 papers, 568 citations indexed

About

Gregor Leusch is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Gregor Leusch has authored 21 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Gregor Leusch's work include Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Semantic Web and Ontologies (4 papers). Gregor Leusch is often cited by papers focused on Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Semantic Web and Ontologies (4 papers). Gregor Leusch collaborates with scholars based in Germany, United States and Ireland. Gregor Leusch's co-authors include Hermann Ney, Nicola Ueffing, Sonja Nießen, Franz Josef Och, Evgeny Matusov, Oliver Bender, David Vilar, Rafael E. Banchs, Hassan Sawaf and Ahmed El Kholy and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Language Resources and Evaluation and Machine Translation.

In The Last Decade

Gregor Leusch

21 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregor Leusch Germany	10	561	49	46	33	19	21	568
Patrik Lambert Spain	12	491 0.9×	30 0.6×	51 1.1×	31 0.9×	13 0.7×	39	506
David Vilar Germany	14	753 1.3×	85 1.7×	62 1.3×	38 1.2×	49 2.6×	47	776
Sara Stymne Sweden	14	509 0.9×	35 0.7×	47 1.0×	21 0.6×	32 1.7×	58	531
Sonja Nießen Germany	6	457 0.8×	42 0.9×	22 0.5×	20 0.6×	15 0.8×	7	465
Josep Crego France	14	741 1.3×	122 2.5×	45 1.0×	44 1.3×	24 1.3×	51	764
Ashish Venugopal United States	13	605 1.1×	47 1.0×	24 0.5×	39 1.2×	10 0.5×	17	614
Gema Ramírez-Sánchez Spain	8	362 0.6×	66 1.3×	27 0.6×	13 0.4×	36 1.9×	13	384
AiTi Aw Singapore	11	483 0.9×	53 1.1×	53 1.2×	43 1.3×	16 0.8×	34	514
Evgeny Matusov Germany	19	909 1.6×	98 2.0×	34 0.7×	45 1.4×	38 2.0×	45	933
Markus Freitag Germany	11	469 0.8×	92 1.9×	31 0.7×	14 0.4×	12 0.6×	38	492

Countries citing papers authored by Gregor Leusch

Since Specialization

Citations

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

Fields of papers citing papers by Gregor Leusch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Leusch

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

All Works

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20 of 20 papers shown

Ueffing, Nicola, José G. C. de Souza, & Gregor Leusch. (2018). Quality Estimation for Automatically Generated Titles of eCommerce Browse Pages. INFM-OAR (INFN Catania). 52–59. 4 indexed citations

Mathur, Prashant, Nicola Ueffing, & Gregor Leusch. (2017). Generating titles for millions of browse pages on an e-Commerce site. INFM-OAR (INFN Catania). 158–167. 6 indexed citations

Matusov, Evgeny & Gregor Leusch. (2013). Omnifluent English-to-French and Russian-to-English Systems for the 2013 Workshop on Statistical Machine Translation. Workshop on Statistical Machine Translation. 158–163. 2 indexed citations

Kholy, Ahmed El, Nizar Habash, Gregor Leusch, Evgeny Matusov, & Hassan Sawaf. (2013). Selective Combination of Pivot and Direct Statistical Machine Translation Models. International Joint Conference on Natural Language Processing. 1174–1180. 7 indexed citations

Rosti, Antti-Veikko, Xiaodong He, Damianos Karakos, et al.. (2012). Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding. RWTH Publications (RWTH Aachen). 191–199. 3 indexed citations

Leusch, Gregor & Hermann Ney. (2012). BLEUSP, INVWER, CDER: Three improved MT evaluation measures. RWTH Publications (RWTH Aachen). 6 indexed citations

Leusch, Gregor, Markus Freitag, & Hermann Ney. (2010). The RWTH System Combination System for WMT 2010. RWTH Publications (RWTH Aachen). 152–158. 2 indexed citations

Huck, Matthias, Joern Wuebker, Christoph Schmidt, et al.. (2010). The RWTH Aachen Machine Translation System for WMT 2010. RWTH Publications (RWTH Aachen). 193–199. 19 indexed citations

Leusch, Gregor, Aurélien Max, Josep Crego, & Hermann Ney. (2010). Multi-Pivot Translation by System Combination. RWTH Publications (RWTH Aachen). 299–306. 8 indexed citations

10.

Leusch, Gregor, Evgeny Matusov, & Hermann Ney. (2009). The RWTH system combination system for WMT 2009. 51–51. 18 indexed citations

11.

Leusch, Gregor & Hermann Ney. (2009). Edit distances with block movements and error rate confidence estimates. Machine Translation. 23(2-3). 129–140. 7 indexed citations

12.

Matusov, Evgeny, Gregor Leusch, Rafael E. Banchs, et al.. (2008). System Combination for Machine Translation of Spoken and Written Language. IEEE Transactions on Audio Speech and Language Processing. 16(7). 1222–1237. 42 indexed citations

13.

Leusch, Gregor, Evgeny Matusov, & Hermann Ney. (2008). Complexity of finding the BLEU-optimal hypothesis in a confusion network. 839–839. 8 indexed citations

14.

Mauser, Arne, et al.. (2007). The RWTH machine translation system for IWSLT 2007.. RWTH Publications (RWTH Aachen). 161–168. 6 indexed citations

15.

Vilar, David, Gregor Leusch, Hermann Ney, & Rafael E. Banchs. (2007). Human evaluation of machine translation through binary system comparisons. RWTH Publications (RWTH Aachen). 96–103. 21 indexed citations

16.

Leusch, Gregor, Nicola Ueffing, & Hermann Ney. (2006). CDER: Efficient MT Evaluation Using Block Movements.. Conference of the European Chapter of the Association for Computational Linguistics. 126(3). 241–248. 82 indexed citations

17.

Leusch, Gregor, Nicola Ueffing, David Vilar, & Hermann Ney. (2005). Preprocessing and Normalization for Automatic Evaluation of Machine Translation. RWTH Publications (RWTH Aachen). 17–24. 10 indexed citations

18.

Matusov, Evgeny, Gregor Leusch, Oliver Bender, & Hermann Ney. (2005). Evaluating machine translation output with automatic sentence segmentation.. RWTH Publications (RWTH Aachen). 138–144. 54 indexed citations

19.

Leusch, Gregor, Nicola Ueffing, & Hermann Ney. (2003). A novel string-to-string distance measure with applications to machine translation evaluation. 51 indexed citations

20.

Nießen, Sonja, Franz Josef Och, Gregor Leusch, & Hermann Ney. (2000). An Evaluation Tool for Machine Translation: Fast Evaluation for MT Research. Language Resources and Evaluation. 194 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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