Joachim Daiber
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
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- Data Quality and Management
Papers in
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- Natural Language Processing Techniques 8
- Topic Modeling 6
- Text Readability and Simplification 2
- Semantic Web and Ontologies 2
- Authorship Attribution and Profiling 1
- Advanced Text Analysis Techniques 1
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- Multimodal Machine Learning Applications 1
- Co-authors
- Pablo N. Mendes (2 shared papers)Max Jakob (1 shared paper)Chris Hokamp (1 shared paper)Shayne Longpre (1 shared paper)Yi Lu (1 shared paper)Rob van der Goot (1 shared paper)Khalil Sima’an (3 shared papers)Miloš Stanojević (2 shared papers)
- Journals
- Language Resources and Evaluation (2 papers)Transactions of the Association for Computational Linguistics (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)RWTH Publications (RWTH Aachen) (2 papers)UvA-DARE (University of Amsterdam) (2 papers)
- Partner nations
- NetherlandsIsraelGermany
In The Last Decade
Joachim Daiber
8 papers receiving 451 citations
Joachim Daiber's Hit Papers
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 434
- Management Science and Operations Research 63
- Information Systems 97
- Computer Vision and Pattern Recognition 71
- Communication 18
Countries citing papers authored by Joachim Daiber
This map shows the geographic impact of Joachim Daiber'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 Joachim Daiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joachim Daiber more than expected).
Fields of papers citing papers by Joachim Daiber
This network shows the impact of papers produced by Joachim Daiber. 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 Joachim Daiber. The network helps show where Joachim Daiber may publish in the future.
Co-authors
The 11 scholars most cited alongside Joachim Daiber, 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 | Improving efficiency and accuracy in multilingual entity extraction Hit paper breakdown → | 2013 | 372 |
| 2 | 2021 | 78 | |
| 3 | Splitting Compounds by Semantic Analogy | 2015 | 9 |
| 4 | The denoised web treebank: evaluating dependency parsing under noisy input conditions | 2016 | 9 |
| 5 | Universal Reordering via Linguistic Typology | 2016 | 5 |
| 6 | 2012 | 4 | |
| 7 | 2016 | 3 | |
| 8 | Machine Translation with Source-Predicted Target Morphology | 2015 | 3 |
About Joachim Daiber
Joachim Daiber is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 8 papers that have together received 483 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (6 papers), Text Readability and Simplification (2 papers), Semantic Web and Ontologies (2 papers), Authorship Attribution and Profiling (1 paper), Service-Oriented Architecture and Web Services (1 paper), Advanced Text Analysis Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Artificial Intelligence (434 citations), Management Science and Operations Research (63 citations), Information Systems (97 citations), Computer Vision and Pattern Recognition (71 citations) and Communication (18 citations). Joachim Daiber has collaborated with scholars based in Netherlands, Israel and Germany. Frequent co-authors include Pablo N. Mendes, Max Jakob, Chris Hokamp, Shayne Longpre, Yi Lu, Rob van der Goot, Khalil Sima’an, Miloš Stanojević, Stella Frank and Christian Bizer. Their work appears in journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics, Zenodo (CERN European Organization for Nuclear Research), RWTH Publications (RWTH Aachen) and UvA-DARE (University of Amsterdam).
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.