Hinrich Schütze
- Artificial Intelligence top 0.02%
- Topic Modeling 162
- Natural Language Processing Techniques 148
- Speech and dialogue systems 28
- Advanced Text Analysis Techniques 23
- Sentiment Analysis and Opinion Mining 17
- Speech Recognition and Synthesis 14
- Text and Document Classification Technologies 13
- Information Systems top 0.05%
- Signal Processing top 0.2%
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- Multimodal Machine Learning Applications 25
- Software top 1%
- Co-authors
- Christopher D. ManningPrabhakar RaghavanWenpeng YinBing XiangBowen ZhouJan PedersenTimo SchickDavid A. Hull
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Bioinformatics (1 paper)Communications of the ACM (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Hinrich Schütze
206 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Artificial Intelligence 12.9k
- Information Systems 4.5k
- Signal Processing 1.5k
- Computer Vision and Pattern Recognition 2.6k
- Software 406
Countries citing papers authored by Hinrich Schütze
This map shows the geographic impact of Hinrich Schütze'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 Hinrich Schütze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hinrich Schütze more than expected).
Fields of papers citing papers by Hinrich Schütze
This network shows the impact of papers produced by Hinrich Schütze. 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 Hinrich Schütze. The network helps show where Hinrich Schütze may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hinrich Schütze, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 5 | |
| 6 | 2020 | 92 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 54 | |
| 9 | 2019 | 2 | |
| 10 | Negated LAMA: Birds cannot fly | 2019 | 6 |
| 11 | CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling. | 2015 | 2 |
| 12 | 2013 | 108 | |
| 13 | Multilingual Lexicon Bootstrapping - Improving a Lexicon Induction System Using a Parallel Corpus | 2013 | 4 |
| 14 | Sentiment Relevance | 2013 | 7 |
| 15 | Towards a Generic and Flexible Citation Classifier Based on a Faceted Classification Scheme | 2012 | 39 |
| 16 | Integrating history-length interpolation and classes in language modeling | 2011 | 3 |
| 17 | Sentiment Translation through Multi-Edge Graphs | 2010 | 9 |
| 18 | Building a Cross-lingual Relatedness Thesaurus using a Graph Similarity Measure. | 2010 | 4 |
| 19 | Foundations of statistical natural language processingbreakdown → | 1999 | 5876 |
| 20 | Customizing a Lexicon to Better Suit a Computational Task | 1993 | 37 |
About Hinrich Schütze
Hinrich Schütze is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Linguistics and Language, having authored 217 papers that have together received 18.7k indexed citations. Recurring topics across this work include Topic Modeling (162 papers), Natural Language Processing Techniques (148 papers), Speech and dialogue systems (28 papers), Multimodal Machine Learning Applications (25 papers), Advanced Text Analysis Techniques (23 papers), Sentiment Analysis and Opinion Mining (17 papers), Speech Recognition and Synthesis (14 papers) and Text and Document Classification Technologies (13 papers). The work is most often cited by research in Artificial Intelligence (12.9k citations), Information Systems (4.5k citations) and Signal Processing (1.5k citations). Hinrich Schütze has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christopher D. Manning, Prabhakar Raghavan, Wenpeng Yin, Bing Xiang, Bowen Zhou, Jan Pedersen, Timo Schick, David A. Hull, Brett Kessler and Craig Silverstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Communications of the ACM.
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.