Max Glockner
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Text Readability and Simplification
- Advanced Text Analysis Techniques
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Hate Speech and Cyberbullying Detection 1
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- Misinformation and Its Impacts 1
- Co-authors
- Yoav Goldberg (1 shared paper)Vered Shwartz (1 shared paper)Iryna Gurevych (3 shared papers)Yufang Hou (2 shared papers)James H. Thorne (1 shared paper)Andreas Vlachos (1 shared paper)Preslav Nakov (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)TUbilio (Technical University of Darmstadt) (1 paper)
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Max Glockner
3 papers receiving 161 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 168
- Computer Vision and Pattern Recognition 47
- Information Systems 15
- Signal Processing 7
- General Decision Sciences 1
Countries citing papers authored by Max Glockner
This map shows the geographic impact of Max Glockner'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 Max Glockner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Glockner more than expected).
Fields of papers citing papers by Max Glockner
This network shows the impact of papers produced by Max Glockner. 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 Max Glockner. The network helps show where Max Glockner may publish in the future.
Co-authors
The 7 scholars most cited alongside Max Glockner, 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 | 2018 | 159 | |
| 2 | 2022 | 12 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 |
About Max Glockner
Max Glockner is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 4 papers that have together received 174 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Misinformation and Its Impacts (1 paper), Hate Speech and Cyberbullying Detection (1 paper), Software Engineering Research (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Artificial Intelligence (168 citations), Computer Vision and Pattern Recognition (47 citations), Information Systems (15 citations), Signal Processing (7 citations) and General Decision Sciences (1 citation). Max Glockner has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Yoav Goldberg, Vered Shwartz, Iryna Gurevych, Yufang Hou, James H. Thorne, Andreas Vlachos and Preslav Nakov. Their work appears in journals such as Transactions of the Association for Computational Linguistics and TUbilio (Technical University of Darmstadt).
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.