Sarah M. Loos
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Software top 10%
- Automotive Engineering
- Control and Systems Engineering
- Co-authors
- André PlatzerStefan MitschNikos AréchigaJan-David QueselChristian SzegedyKshitij BansalMarkus N. RabeBruce H. Krogh
- Topics
- Formal Methods in Verification (7 papers)Logic, programming, and type systems (3 papers)Traffic control and management (2 papers)
- Journals
- International Journal on Software Tools for Technology TransferarXiv (Cornell University)International Conference on Machine Learning
- Partner nations
- United StatesAustria
In The Last Decade
Sarah M. Loos
12 papers receiving 158 citations
Peers
Comparison fields: 5 of 32
- Computational Theory and Mathematics 96
- Artificial Intelligence 71
- Software 46
- Automotive Engineering 36
- Control and Systems Engineering 32
Countries citing papers authored by Sarah M. Loos
This map shows the geographic impact of Sarah M. Loos'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 Sarah M. Loos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah M. Loos more than expected).
Fields of papers citing papers by Sarah M. Loos
This network shows the impact of papers produced by Sarah M. Loos. 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 Sarah M. Loos. The network helps show where Sarah M. Loos may publish in the future.
Co-authorship network of co-authors of Sarah M. Loos
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah M. Loos. A scholar is included among the top collaborators of Sarah M. Loos 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 Sarah M. Loos. Sarah M. Loos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Mathematical Reasoning in Latent Space | 4 |
| 3 | HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving | 21 |
| 4 | HOList: An Environment for Machine Learning of Higher-Order Theorem Proving (extended version) | 2 |
| 5 | 8 | |
| 6 | 36 | |
| 7 | 19 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 31 | |
| 11 | 14 | |
| 12 | 10 |
About Sarah M. Loos
Sarah M. Loos is a scholar working on Theoretical Computer Science, Software and Computational Theory and Mathematics, having authored 12 papers that have together received 164 indexed citations. Recurring topics across this work include Formal Methods in Verification (7 papers), Logic, programming, and type systems (3 papers) and Traffic control and management (2 papers). The work is most often cited by research in Software (46 citations), Computational Theory and Mathematics (96 citations) and Hardware and Architecture (23 citations). Sarah M. Loos has collaborated with scholars based in United States and Austria. Frequent co-authors include André Platzer, Stefan Mitsch, Nikos Aréchiga, Jan-David Quesel, Christian Szegedy, Kshitij Bansal, Markus N. Rabe, Bruce H. Krogh, David Garlan and Akshay Rajhans. Their work appears in journals such as International Journal on Software Tools for Technology Transfer, arXiv (Cornell University) and International Conference on Machine Learning.
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.