Christoph Schmidt

438 total citations
15 papers, 277 citations indexed

About

Christoph Schmidt is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Christoph Schmidt has authored 15 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Human-Computer Interaction and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Christoph Schmidt's work include Natural Language Processing Techniques (12 papers), Hand Gesture Recognition Systems (7 papers) and Topic Modeling (5 papers). Christoph Schmidt is often cited by papers focused on Natural Language Processing Techniques (12 papers), Hand Gesture Recognition Systems (7 papers) and Topic Modeling (5 papers). Christoph Schmidt collaborates with scholars based in Germany, Belgium and Austria. Christoph Schmidt's co-authors include Hermann Ney, Oscar Koller, Jens Förster, Justus Piater, Dan J. Stein, Joachim Köhler, Gregor Leusch, Stephan Peitz, Markus Freitag and Matthias Huck and has published in prestigious journals such as Speech Communication, Language Resources and Evaluation and Machine Translation.

In The Last Decade

Christoph Schmidt

13 papers receiving 250 citations

Peers

Countries citing papers authored by Christoph Schmidt

Since Specialization

Citations

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

Fields of papers citing papers by Christoph Schmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Schmidt

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	A Multimodal, Multilabel Approach to Recognize Emotions in Oral History Interviews 2024 ·Fraunhofer-Publica (Fraunhofer-Gesellschaft) ·(unknown), (unknown), Teena Hassan, Christoph Schmidt	0
2	Data-driven pronunciation modeling of swiss german dialectal speech for automatic speech recognition 2022 ·Language Resources and Evaluation ·(unknown), Christoph Schmidt	0
3	Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews 2019 ·arXiv (Cornell University) ·(unknown), Christoph Schmidt, Sven Behnke, Joachim Köhler	4
4	Improving Robust Speech Recognition for German Oral History Interviews Using Multi-Condition Training. 2018 ·Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) ·(unknown), Christoph Schmidt, Joachim Köhler	1
5	Multitask Sequence-to-Sequence Models for Grapheme-to-Phoneme Conversion 2017 ·Fraunhofer-Publica (Fraunhofer-Gesellschaft) ·(unknown), Christoph Schmidt, Joachim Köhler	15
6	A knowledge graph based speech interface for question answering systems 2017 ·Speech Communication ·(unknown), Christoph Schmidt, Joachim Köhler	16
7	Handling multimodality and scarce resources in sign language machine translation 2016 ·RWTH Publications (RWTH Aachen) ·Christoph Schmidt	1
8	Extensions of the Sign Language Recognition and Translation Corpus RWTH-PHOENIX-Weather 2014 ·Language Resources and Evaluation ·Jens Förster, Christoph Schmidt, Oscar Koller, (unknown), Hermann Ney	86
9	Using viseme recognition to improve a sign language translation system. 2013 ·Open Repository and Bibliography (University of Liège) ·Christoph Schmidt, Oscar Koller, Hermann Ney, (unknown), Justus Piater	9
10	Enhancing gloss-based corpora with facial features using active appearance models 2013 ·Open Repository and Bibliography (University of Liège) ·Christoph Schmidt, Oscar Koller, Hermann Ney, (unknown), Justus Piater	12
11	RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus 2012 ·Language Resources and Evaluation ·Jens Förster, Christoph Schmidt, (unknown), Oscar Koller, (unknown), Justus Piater, Hermann Ney	74
12	Analysis, preparation, and optimization of statistical sign language machine translation 2012 ·Machine Translation ·Dan J. Stein, Christoph Schmidt, Hermann Ney	27
13	The RWTH Aachen System for NTCIR-10 PatentMT 2011 ·RWTH Publications (RWTH Aachen) ·Minwei Feng, Christoph Schmidt, Joern Wuebker, Stephan Peitz, Markus Freitag, Hermann Ney	3
14	The RWTH Aachen Machine Translation System for WMT 2010 2010 ·RWTH Publications (RWTH Aachen) ·Matthias Huck, Joern Wuebker, Christoph Schmidt, Markus Freitag, Stephan Peitz, Dan J. Stein, (unknown), Saab Mansour, Gregor Leusch, Hermann Ney	19
15	Sign language machine translation overkill. 2010 ·RWTH Publications (RWTH Aachen) ·Dan J. Stein, Christoph Schmidt, Hermann Ney	10

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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