Thomas Kipf
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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- Multimodal Machine Learning Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 3
- Bayesian Modeling and Causal Inference 2
- Topic Modeling 2
- Advanced Graph Neural Networks 2
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- Multimodal Machine Learning Applications 4
- Advanced Image and Video Retrieval Techniques 3
- Advanced Neural Network Applications 2
- Co-authors
- Max Welling (3 shared papers)Michael Schlichtkrull (1 shared paper)Ivan Titov (1 shared paper)Peter Bloem (1 shared paper)Rianne van den Berg (1 shared paper)Kuan-Chieh Wang (1 shared paper)Ethan Fetaya (1 shared paper)Richard S. Zemel (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)Neural Information Processing Systems (1 paper)UvA-DARE (University of Amsterdam) (2 papers)Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Thomas Kipf
12 papers receiving 3.4k citations
Thomas Kipf's Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 2.6k
- Computer Vision and Pattern Recognition 759
- Statistical and Nonlinear Physics 405
- Management Science and Operations Research 317
- Information Systems 560
Countries citing papers authored by Thomas Kipf
This map shows the geographic impact of Thomas Kipf'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 Thomas Kipf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Kipf more than expected).
Fields of papers citing papers by Thomas Kipf
This network shows the impact of papers produced by Thomas Kipf. 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 Thomas Kipf. The network helps show where Thomas Kipf may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Kipf, 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 | Simple Open-Vocabulary Object Detection Hit paper breakdown → | 2022 | 167 |
| 3 | Neural Relational Inference for Interacting Systems | 2018 | 102 |
| 4 | 2019 | 21 | |
| 5 | Deep learning with graph-structured representations | 2020 | 17 |
| 6 | Contrastive Learning of Structured World Models | 2020 | 15 |
| 7 | Learned Cardinalities: Estimating Correlated Joins with Deep Learning | 2018 | 14 |
| 8 | Object-Centric Learning with Slot Attention | 2020 | 13 |
| 9 | 2023 | 12 | |
| 10 | 2023 | 8 | |
| 11 | 2018 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 0 | |
| 14 | 2024 | 0 |
About Thomas Kipf
Thomas Kipf is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 14 papers that have together received 3.5k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (2 papers), Bayesian Modeling and Causal Inference (2 papers), Topic Modeling (2 papers), Data Management and Algorithms (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Computer Vision and Pattern Recognition (759 citations), Statistical and Nonlinear Physics (405 citations), Management Science and Operations Research (317 citations) and Information Systems (560 citations). Thomas Kipf has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Max Welling, Michael Schlichtkrull, Ivan Titov, Peter Bloem, Rianne van den Berg, Kuan-Chieh Wang, Ethan Fetaya, Richard S. Zemel, Aravindh Mahendran and Alexey Dosovitskiy. Their work appears in journals such as Lecture notes in computer science, Neural Information Processing Systems, UvA-DARE (University of Amsterdam), Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands and Zenodo (CERN European Organization for Nuclear Research).
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.