Marion Neumann
Impact in
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Topic Modeling
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- Complex Network Analysis Techniques
Papers in
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- Advanced Graph Neural Networks 7
- Gaussian Processes and Bayesian Inference 3
- Bayesian Modeling and Causal Inference 2
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- Graph Theory and Algorithms 3
- Co-authors
- Zhicheng Cui (1 shared paper)Yixin Chen (1 shared paper)Muhan Zhang (1 shared paper)Kristian Kersting (14 shared papers)Christian Bauckhage (3 shared papers)Roman Garnett (4 shared papers)Petra Mutzel (3 shared papers)Nils M. Kriege (3 shared papers)
- Journals
- Plant Pathology (1 paper)Autonomous Robots (1 paper)Machine Learning (1 paper)Lirias (KU Leuven) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Marion Neumann
20 papers receiving 1.1k citations
Marion Neumann's Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 773
- Statistical and Nonlinear Physics 265
- Computer Vision and Pattern Recognition 304
- Information Systems 152
- Signal Processing 71
Countries citing papers authored by Marion Neumann
This map shows the geographic impact of Marion Neumann'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 Marion Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Neumann more than expected).
Fields of papers citing papers by Marion Neumann
This network shows the impact of papers produced by Marion Neumann. 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 Marion Neumann. The network helps show where Marion Neumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Marion Neumann, 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 | An End-to-End Deep Learning Architecture for Graph Classification Hit paper breakdown → | 2018 | 853 |
| 2 | 2015 | 118 | |
| 3 | 2017 | 45 | |
| 4 | 2014 | 28 | |
| 5 | 2009 | 28 | |
| 6 | 2018 | 26 | |
| 7 | pyGPs: a Python library for Gaussian process regression and classification | 2015 | 17 |
| 8 | 2014 | 13 | |
| 9 | Graph Kernels for Object Category Prediction in Task-Dependent Robot Grasping | 2013 | 12 |
| 10 | A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels. | 2017 | 11 |
| 11 | A unifying view of explicit and implicit feature maps of graph kernels | 2019 | 11 |
| 12 | 2021 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2011 | 5 | |
| 15 | Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels | 2013 | 4 |
| 16 | Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data | 2012 | 3 |
| 17 | 2023 | 1 | |
| 18 | Coinciding Walk Kernels | 2013 | 1 |
| 19 | 2019 | 1 | |
| 20 | 2006 | 1 |
About Marion Neumann
Marion Neumann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Statistical and Nonlinear Physics, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (7 papers), Graph Theory and Algorithms (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Data Management and Algorithms (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Bayesian Modeling and Causal Inference (2 papers), Recommender Systems and Techniques (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Artificial Intelligence (773 citations), Statistical and Nonlinear Physics (265 citations), Computer Vision and Pattern Recognition (304 citations), Information Systems (152 citations) and Signal Processing (71 citations). Marion Neumann has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Zhicheng Cui, Yixin Chen, Muhan Zhang, Kristian Kersting, Christian Bauckhage, Roman Garnett, Petra Mutzel, Nils M. Kriege, Zhao Xu and Daniel Schulz. Their work appears in journals such as Plant Pathology, Autonomous Robots, Machine Learning, Lirias (KU Leuven) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.