Heike Adel
- Artificial Intelligence top 5%
- Topic Modeling 25
- Natural Language Processing Techniques 23
- Speech Recognition and Synthesis 8
- Speech and dialogue systems 6
- Explainable Artificial Intelligence (XAI) 4
- Advanced Text Analysis Techniques 3
- Linguistics and Language top 10%
- Signal Processing top 10%
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- Multimodal Machine Learning Applications 5
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- Biomedical Text Mining and Ontologies 3
Heike Adel
37 papers receiving 451 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 418
- Linguistics and Language 21
- Signal Processing 45
- Management Science and Operations Research 35
- Human-Computer Interaction 12
Countries citing papers authored by Heike Adel
This map shows the geographic impact of Heike Adel'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 Heike Adel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heike Adel more than expected).
Fields of papers citing papers by Heike Adel
This network shows the impact of papers produced by Heike Adel. 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 Heike Adel. The network helps show where Heike Adel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heike Adel, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 111 | |
| 14 | 2019 | 2 | |
| 15 | 2019 | 2 | |
| 16 | CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling. | 2015 | 2 |
| 17 | Features for Factored Language Models for Code-Switching Speech | 2014 | 20 |
| 18 | 2014 | 12 | |
| 19 | Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling | 2013 | 41 |
| 20 | 2013 | 52 |
About Heike Adel
Heike Adel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Spectroscopy, Information Systems and Human-Computer Interaction, having authored 44 papers that have together received 492 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (23 papers), Speech Recognition and Synthesis (8 papers), Speech and dialogue systems (6 papers), Multimodal Machine Learning Applications (5 papers), Explainable Artificial Intelligence (XAI) (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (418 citations), Linguistics and Language (21 citations), Signal Processing (45 citations), Management Science and Operations Research (35 citations) and Human-Computer Interaction (12 citations). Heike Adel has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Xiang Dai, Ngoc Thang Vu, Tanja Schultz, Hinrich Schütze, Dominic Telaar, Katrin Kirchhoff, Tim Schlippe, Lukas Lange, Jannik Strötgen and Haizhou Li. Their work appears in journals such as Natural Language Engineering, Bioinformatics, The Journal of Chemical Physics, IEEE/ACM Transactions on Audio Speech and Language Processing and Physica B+C.
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.