Teresa Herrmann

426 total citations
23 papers, 301 citations indexed

About

Teresa Herrmann is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Teresa Herrmann has authored 23 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Language and Linguistics. Recurrent topics in Teresa Herrmann's work include Natural Language Processing Techniques (23 papers), Topic Modeling (22 papers) and Speech and dialogue systems (8 papers). Teresa Herrmann is often cited by papers focused on Natural Language Processing Techniques (23 papers), Topic Modeling (22 papers) and Speech and dialogue systems (8 papers). Teresa Herrmann collaborates with scholars based in Germany, United States and Italy. Teresa Herrmann's co-authors include Alex Waibel, Jan Niehues, Stephan Vogel, Eunah Cho, Christian Federmann, Hervé Saint-Amand, Andreas Eisele, Sebastian Stüker, Marcello Federico and Mauro Cettolo and has published in prestigious journals such as Language Resources and Evaluation, Edinburgh Research Explorer (University of Edinburgh) and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Teresa Herrmann

23 papers receiving 226 citations

Peers

Teresa Herrmann
Comparison fields: 5 of 18
  • Artificial Intelligence 293
  • Computer Vision and Pattern Recognition 24
  • Information Systems 16
  • Molecular Biology 14
  • Language and Linguistics 11
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Citations per field, relative to Teresa Herrmann
Teresa Herrmann · 1×
Citations per year, relative to Teresa Herrmann
Teresa Herrmann · 1×

Countries citing papers authored by Teresa Herrmann

Since Specialization
Citations

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

Fields of papers citing papers by Teresa Herrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teresa Herrmann

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 3
3 2
4 1
5 13
6 1
7
Joint WMT 2013 Submission of the QUAERO Project
3
8 23
9 3
10 5
11
Proceedings of the International Workshop on Spoken Language Translation (IWSLT 2013)
29
12 27
13 14
14 22
15 12
16 55
17 6
18 9
19
Hybrid machine translation architectures within and beyond the EuroMatrix project
14
20 37

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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