Katrin Kirchhoff

5.3k total citations · 2 hit papers
125 papers, 3.5k citations indexed

About

Katrin Kirchhoff is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Katrin Kirchhoff has authored 125 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Artificial Intelligence, 47 papers in Signal Processing and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Katrin Kirchhoff's work include Speech Recognition and Synthesis (67 papers), Natural Language Processing Techniques (58 papers) and Topic Modeling (40 papers). Katrin Kirchhoff is often cited by papers focused on Speech Recognition and Synthesis (67 papers), Natural Language Processing Techniques (58 papers) and Topic Modeling (40 papers). Katrin Kirchhoff collaborates with scholars based in United States, Germany and Chile. Katrin Kirchhoff's co-authors include Jeff Bilmes, Hal Daumé, Lucy Vanderwende, Kevin Duh, Dimitra Vergyri, Yuzong Liu, Anne M. Turner, Andrei T. Alexandrescu, Julián Salazar and Gerhard Sagerer and has published in prestigious journals such as The Journal of the Acoustical Society of America, FEMS Microbiology Reviews and Journal of Medical Internet Research.

In The Last Decade

Katrin Kirchhoff

116 papers receiving 3.1k citations

Hit Papers

Proceedings of the 2013 Conference of the North American ... 2013 2026 2017 2021 2013 2022 100 200 300 400 500

Peers

Katrin Kirchhoff
Comparison fields: 5 of 130
  • Artificial Intelligence 2.9k
  • Signal Processing 1.1k
  • Experimental and Cognitive Psychology 365
  • Computer Vision and Pattern Recognition 306
  • Information Systems 198
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Citations per field, relative to Katrin Kirchhoff
Katrin Kirchhoff · 1×
Citations per year, relative to Katrin Kirchhoff
Katrin Kirchhoff · 1×

Countries citing papers authored by Katrin Kirchhoff

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Kirchhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katrin Kirchhoff

This figure shows the co-authorship network connecting the top 25 collaborators of Katrin Kirchhoff. A scholar is included among the top collaborators of Katrin Kirchhoff 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 Katrin Kirchhoff. Katrin Kirchhoff 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 0
2 4
3
"What's The Context?" : Long Context NLM Adaptation for ASR Rescoring in Conversational Agents.
0
4
Pseudolikelihood Reranking with Masked Language Models.
1
5 22
6 36
7
Features for Factored Language Models for Code-Switching Speech
20
8 10
9
Using Document Summarization Techniques for Speech Data Subset Selection
29
10
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies breakdown →
517
11
Unsupervised Translation Disambiguation for Cross-Domain Statistical Machine Translation.
3
12 55
13
Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation
3
14
The University of Washington Machine Translation System for the IWSLT 2007 Competition
4
15
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
23
16 43
17
Ambiguity Reduction for Machine Translation: Human-Computer Collaboration.
2
18
The University of Washington machine translation system for IWSLT 2006.
2
19 67
20 6

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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