Beate Dorow

722 citations
12 papers · 392 · h-index 9

Impact in

Papers in

    • Natural Language Processing Techniques 9
    • Topic Modeling 9
    • Advanced Text Analysis Techniques 3
    • Semantic Web and Ontologies 3
    • Text and Document Classification Technologies 1

Beate Dorow

11 papers receiving 356 citations

Peers

Beate Dorow
Comparison fields: 5 of 57
  • Artificial Intelligence 325
  • Statistical and Nonlinear Physics 36
  • Cultural Studies 21
  • Language and Linguistics 18
  • Information Systems 38
Replace Maria das Graças Volpe Nunes with:
Maria das Graças Volpe Nunes Brazil
Yannick Versley Germany
Omri Abend Israel
Petya Osenova Bulgaria
David Mareček Czechia
Benjamin Börschinger Australia
Miikka Silfverberg United States
Ruiji Fu China
Luís Marujo Portugal
Beate Dorow relative to Maria das Graças Volpe Nunes Brazil Maria das Graças Volpe Nunes's profile →
Citations per field
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Maria das Graças Volpe Nunes · 1×
Citations per year

Countries citing papers authored by Beate Dorow

Since Specialization
Citations

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

Fields of papers citing papers by Beate Dorow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Beate Dorow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beate Dorow Line = papers co-authored together Beate Dorow links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2002151
2 200366
3 200644
4 201830
5
Using Parallel Corpora to enrich Multilingual Lexical Resources.
200226
6
A Linguistically Grounded Graph Model for Bilingual Lexicon Extraction
201021
7 200518
8 200615
9 20099
10
Visualisation Techniques for Analysing Meaning
20027
11
Building a Cross-lingual Relatedness Thesaurus using a Graph Similarity Measure.
20104
12
Ongoing Developments in Automatically Adapting Lexical Resources to the Biomedical Domain
20061

About Beate Dorow

Beate Dorow is a scholar working on Artificial Intelligence, Molecular Biology, Surgery, General Health Professions and Statistical and Nonlinear Physics, having authored 12 papers that have together received 392 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers), Advanced Text Analysis Techniques (3 papers), Semantic Web and Ontologies (3 papers), Hermeneutics and Narrative Identity (1 paper), Complex Network Analysis Techniques (1 paper), Health, Medicine and Society (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (325 citations), Statistical and Nonlinear Physics (36 citations), Cultural Studies (21 citations), Language and Linguistics (18 citations) and Information Systems (38 citations). Beate Dorow has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Dominic Widdows, Jean‐Pierre Eckmann, Enrique Álvarez-Lacalle, Elisha Moses, Florian Laws, Hinrich Schütze, Leonardo Gizzi, Ulrich Heid, Oliver Röhrle and Fritz Schick. Their work appears in journals such as Language Resources and Evaluation, Proceedings of the National Academy of Sciences, Frontiers in Bioengineering and Biotechnology, International Conference on Computational Linguistics and OPUS Publication Server of the University of Stuttgart (University of Stuttgart).

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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