Countries citing papers authored by Markus N. Rabe
Since
Specialization
Citations
This map shows the geographic impact of Markus N. Rabe'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 Markus N. Rabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus N. Rabe more than expected).
This network shows the impact of papers produced by Markus N. Rabe. 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 Markus N. Rabe. The network helps show where Markus N. Rabe may publish in the future.
Co-authorship network of co-authors of Markus N. Rabe
This figure shows the co-authorship network connecting the top 25 collaborators of Markus N. Rabe.
A scholar is included among the top collaborators of Markus N. Rabe based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Markus N. Rabe. Markus N. Rabe is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rabe, Markus N., Dennis Lee, Kshitij Bansal, & Christian Szegedy. (2021). Mathematical Reasoning via Self-supervised Skip-tree Training. International Conference on Learning Representations.3 indexed citations
3.
Rabe, Markus N., Dennis Lee, Kshitij Bansal, & Christian Szegedy. (2020). Language Modeling for Formal Mathematics. arXiv (Cornell University).1 indexed citations
4.
Rabe, Markus N., et al.. (2020). Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning. eScholarship (California Digital Library).3 indexed citations
5.
Lee, Dennis, Christian Szegedy, Markus N. Rabe, Sarah M. Loos, & Kshitij Bansal. (2020). Mathematical Reasoning in Latent Space. International Conference on Learning Representations.4 indexed citations
6.
Bansal, Kshitij, et al.. (2019). HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving. International Conference on Machine Learning. 454–463.21 indexed citations
7.
Bansal, Kshitij, et al.. (2019). HOList: An Environment for Machine Learning of Higher-Order Theorem Proving (extended version). arXiv (Cornell University).2 indexed citations
8.
Rabe, Markus N., et al.. (2018). Learning Heuristics for Automated Reasoning through Deep Reinforcement Learning..5 indexed citations
9.
Fremont, Daniel J., Markus N. Rabe, & Sanjit A. Seshia. (2017). Maximum Model Counting. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 3885–3892.5 indexed citations
Cavalieri, Sergio, Markus N. Rabe, & Marco Taisch. (1997). A Neural Network Approach to the Plant Design Problem. Aisberg (University of Bergamo). 1–8.3 indexed citations
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.