Michael Schlichtkrull
Impact in
- Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
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- Complex Network Analysis Techniques
Papers in
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- Topic Modeling 9
- Natural Language Processing Techniques 7
- Sentiment Analysis and Opinion Mining 3
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- Business Process Modeling and Analysis 2
- Co-authors
- Ivan S. Titov (2 shared papers)Rianne van den Berg (1 shared paper)Max Welling (1 shared paper)Thomas Kipf (1 shared paper)Peter Bloem (1 shared paper)Andreas G. Vlachos (8 shared papers)Zhijiang Guo (4 shared papers)Oana Cocarascu (3 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Lecture notes in computer science (1 paper)Apollo (University of Cambridge) (1 paper)Research Portal (King's College London) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United KingdomNetherlandsDenmark
In The Last Decade
Michael Schlichtkrull
14 papers receiving 3.7k citations
Michael Schlichtkrull's Hit Papers
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 2.8k
- Statistical and Nonlinear Physics 417
- Information Systems 686
- Management Science and Operations Research 351
- Computer Vision and Pattern Recognition 606
Countries citing papers authored by Michael Schlichtkrull
This map shows the geographic impact of Michael Schlichtkrull'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 Michael Schlichtkrull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schlichtkrull more than expected).
Fields of papers citing papers by Michael Schlichtkrull
This network shows the impact of papers produced by Michael Schlichtkrull. 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 Michael Schlichtkrull. The network helps show where Michael Schlichtkrull may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Schlichtkrull, 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 | Modeling Relational Data with Graph Convolutional Networks Hit paper breakdown → | 2018 | 3325 |
| 2 | A Survey on Automated Fact-Checking Hit paper breakdown → | 2022 | 246 |
| 3 | 2021 | 59 | |
| 4 | 2022 | 53 | |
| 5 | 2015 | 11 | |
| 6 | 2017 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2016 | 9 | |
| 10 | 2023 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2024 | 3 | |
| 13 | NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned | 2020 | 1 |
| 14 | 2024 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Michael Schlichtkrull
Michael Schlichtkrull is a scholar working on Artificial Intelligence, Management Information Systems, Computer Vision and Pattern Recognition, Human-Computer Interaction and Communication, having authored 16 papers that have together received 3.7k indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers), Misinformation and Its Impacts (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Multimodal Machine Learning Applications (3 papers), Business Process Modeling and Analysis (2 papers), Web Application Security Vulnerabilities (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (2.8k citations), Statistical and Nonlinear Physics (417 citations), Information Systems (686 citations), Management Science and Operations Research (351 citations) and Computer Vision and Pattern Recognition (606 citations). Michael Schlichtkrull has collaborated with scholars based in United Kingdom, Netherlands and Denmark. Frequent co-authors include Ivan S. Titov, Rianne van den Berg, Max Welling, Thomas Kipf, Peter Bloem, Andreas G. Vlachos, Zhijiang Guo, Oana Cocarascu, Arpit Mittal and Christos Christodoulopoulos. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Lecture notes in computer science, Apollo (University of Cambridge), Research Portal (King's College London) and arXiv (Cornell University).
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.