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 7
- Natural Language Processing Techniques 5
- Sentiment Analysis and Opinion Mining 3
- Bayesian Modeling and Causal Inference 1
- Advanced Text Analysis Techniques 1
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- Misinformation and Its Impacts 3
- Co-authors
- Thomas Kipf (1 shared paper)Rianne van den Berg (1 shared paper)Max Welling (1 shared paper)Ivan Titov (1 shared paper)Peter Bloem (1 shared paper)Andreas Vlachos (7 shared papers)Zhijiang Guo (4 shared papers)Arpit Mittal (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Lecture notes in computer science (1 paper)Queen Mary Research Online (Queen Mary University of London) (1 paper)ORCA Online Research @Cardiff (Cardiff University) (1 paper)Research Portal (King's College London) (1 paper)
- Partner nations
- United KingdomNetherlandsDenmark
In The Last Decade
Michael Schlichtkrull
11 papers receiving 3.4k citations
Michael Schlichtkrull's Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 2.7k
- Statistical and Nonlinear Physics 395
- Information Systems 650
- Computer Vision and Pattern Recognition 562
- Management Science and Operations Research 331
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 24 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 | 3094 |
| 2 | A Survey on Automated Fact-Checking Hit paper breakdown → | 2022 | 216 |
| 3 | 2021 | 52 | |
| 4 | 2022 | 50 | |
| 5 | 2015 | 11 | |
| 6 | 2017 | 10 | |
| 7 | 2024 | 9 | |
| 8 | 2016 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 |
About Michael Schlichtkrull
Michael Schlichtkrull is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Communication and Molecular Biology, having authored 12 papers that have together received 3.5k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers), Sentiment Analysis and Opinion Mining (3 papers), Misinformation and Its Impacts (3 papers), Multimodal Machine Learning Applications (2 papers), Business Process Modeling and Analysis (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (2.7k citations), Statistical and Nonlinear Physics (395 citations), Information Systems (650 citations), Computer Vision and Pattern Recognition (562 citations) and Management Science and Operations Research (331 citations). Michael Schlichtkrull has collaborated with scholars based in United Kingdom, Netherlands and Denmark. Frequent co-authors include Thomas Kipf, Rianne van den Berg, Max Welling, Ivan Titov, Peter Bloem, Andreas Vlachos, Zhijiang Guo, Arpit Mittal, Christos Christodoulopoulos and James Thorne. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Lecture notes in computer science, Queen Mary Research Online (Queen Mary University of London), ORCA Online Research @Cardiff (Cardiff University) and Research Portal (King's College London).
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.