Gregor Erbach

404 total citations
18 papers, 136 citations indexed

About

Gregor Erbach is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Gregor Erbach has authored 18 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Language and Linguistics. Recurrent topics in Gregor Erbach's work include Natural Language Processing Techniques (12 papers), Topic Modeling (4 papers) and Speech and dialogue systems (3 papers). Gregor Erbach is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (4 papers) and Speech and dialogue systems (3 papers). Gregor Erbach collaborates with scholars based in Germany. Gregor Erbach's co-authors include Hans Uszkoreit, Gernot Kubin, Wei Ding, Suresh Manandhar, Wojciech Skut, Thierry Declerck, Wolfgang Wahlster and Anthony Jameson and has published in prestigious journals such as Cancer Research, Information Processing & Management and Language Resources and Evaluation.

In The Last Decade

Gregor Erbach

18 papers receiving 107 citations

Peers

Gregor Erbach
Comparison fields: 5 of 27
  • Artificial Intelligence 119
  • Information Systems 36
  • Language and Linguistics 32
  • Computer Vision and Pattern Recognition 10
  • Experimental and Cognitive Psychology 10
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Bolette Sandford Pedersen Denmark
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Joseph Rosenzweig United States
Nerea Ezeiza Spain
Mathieu Lafourcade France
Wojciech Skut Germany
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Citations per field, relative to Gregor Erbach
Gregor Erbach · 1×
Citations per year, relative to Gregor Erbach
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Countries citing papers authored by Gregor Erbach

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Erbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Erbach

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Erbach. A scholar is included among the top collaborators of Gregor Erbach 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 Erbach. Gregor Erbach 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 5
2 1
3 5
4
COLLATE: Competence Center in Speech and Language Technology
2
5
SpeechDat-AT: A telephone speech database for Austrian German
7
6
A Bottom-Up Algorithm for Parsing and Generation
2
7 36
8
MULINEX: Multilingual Web Search and Navigation
4
9
Design and Evaluation of a Psychological Experiment on the Effectiveness of Document Summarisation for the Retrieval of Multilingual WWW Documents
4
10
MULINEX: multilingual indexing, navigation and editing extensions for the world-wide web
10
11
Extending Unification Formalisms
2
12 30
13 3
14
Using preference values in typed feature structures to exploit non-absolute constraints for disambiguation
3
15 2
16 12
17 6
18
An environment for experimentation with parsing strategies
2

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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