Benjamin Heinzerling
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Graph Neural Networks
- Text and Document Classification Technologies
Papers in
-
- Topic Modeling 13
- Natural Language Processing Techniques 12
- Advanced Graph Neural Networks 2
- Speech Recognition and Synthesis 2
- Semantic Web and Ontologies 1
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- Data Quality and Management 3
- Co-authors
- Kentaro Inui (8 shared papers)Michael Strube (6 shared papers)Naoya Inoue (1 shared paper)Jun Suzuki (1 shared paper)Ivan Vulić (1 shared paper)Anna Korhonen (1 shared paper)Roi Reichart (1 shared paper)Chin-Yew Lin (1 shared paper)
- Journals
- Theory and applications of categories (2 papers)Language Resources and Evaluation (1 paper)Information Processing & Management (1 paper)
- Partner nations
- JapanUnited KingdomGermany
In The Last Decade
Benjamin Heinzerling
14 papers receiving 123 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 137
- Health Informatics 2
- Management Science and Operations Research 16
- General Social Sciences 3
- Computer Vision and Pattern Recognition 17
Countries citing papers authored by Benjamin Heinzerling
This map shows the geographic impact of Benjamin Heinzerling'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 Benjamin Heinzerling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Heinzerling more than expected).
Fields of papers citing papers by Benjamin Heinzerling
This network shows the impact of papers produced by Benjamin Heinzerling. 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 Benjamin Heinzerling. The network helps show where Benjamin Heinzerling may publish in the future.
Co-authors
The 13 scholars most cited alongside Benjamin Heinzerling, 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 | 2021 | 43 | |
| 2 | BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages | 2017 | 36 |
| 3 | 2019 | 23 | |
| 4 | 2020 | 8 | |
| 5 | HITS' Monolingual and Cross-lingual Entity Linking System at TAC 2013 | 2013 | 7 |
| 6 | 2019 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2015 | 6 | |
| 9 | HITS at TAC KBP 2015: Entity discovery and linking, and event nugget detection | 2015 | 3 |
| 10 | 2021 | 3 | |
| 11 | 2017 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2023 | 0 |
About Benjamin Heinzerling
Benjamin Heinzerling is a scholar working on Artificial Intelligence, Management Science and Operations Research, Political Science and International Relations, Information Systems and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 148 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers), Data Quality and Management (3 papers), Advanced Graph Neural Networks (2 papers), Speech Recognition and Synthesis (2 papers), Semantic Web and Ontologies (1 paper), Software Engineering Research (1 paper) and Legal Education and Practice Innovations (1 paper). The work is most often cited by research in Artificial Intelligence (137 citations), Health Informatics (2 citations), Management Science and Operations Research (16 citations), General Social Sciences (3 citations) and Computer Vision and Pattern Recognition (17 citations). Benjamin Heinzerling has collaborated with scholars based in Japan, United Kingdom and Germany. Frequent co-authors include Kentaro Inui, Michael Strube, Naoya Inoue, Jun Suzuki, Ivan Vulić, Anna Korhonen, Roi Reichart, Chin-Yew Lin, Yi Zhu and Yusuke Miyao. Their work appears in journals such as Theory and applications of categories, Language Resources and Evaluation and Information Processing & Management.
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.