Kai Hauser
Impact in
- Theoretical Computer Science top 10%
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Computability, Logic, AI Algorithms 10
-
- Advanced Topology and Set Theory 10
- Co-authors
- Peter E. Huber (9 shared papers)Amir Abdollahi (6 shared papers)Carmen Timke (3 shared papers)Peter Peschke (3 shared papers)Jürgen Debus (3 shared papers)Ute Wirkner (3 shared papers)Klaus J. Weber (2 shared papers)Monika Dadrich (3 shared papers)
- Journals
- Annals of Pure and Applied Logic (4 papers)Clinical Cancer Research (2 papers)Cell Cycle (2 papers)Archive for Mathematical Logic (2 papers)Journal of Symbolic Logic (2 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Kai Hauser
28 papers receiving 782 citations
Peers
Comparison fields: 5 of 87
- Theoretical Computer Science 16
- Cancer Research 143
- Geometry and Topology 83
- Radiology, Nuclear Medicine and Imaging 150
- Oncology 164
Countries citing papers authored by Kai Hauser
This map shows the geographic impact of Kai Hauser'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 Kai Hauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hauser more than expected).
Fields of papers citing papers by Kai Hauser
This network shows the impact of papers produced by Kai Hauser. 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 Kai Hauser. The network helps show where Kai Hauser may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Hauser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 172 | |
| 2 | 2012 | 130 | |
| 3 | 2008 | 119 | |
| 4 | 2015 | 80 | |
| 5 | 2011 | 76 | |
| 6 | 2006 | 46 | |
| 7 | 2010 | 42 | |
| 8 | 1991 | 22 | |
| 9 | 2006 | 17 | |
| 10 | 1995 | 14 | |
| 11 | 2000 | 14 | |
| 12 | 1997 | 12 | |
| 13 | 2003 | 10 | |
| 14 | 1992 | 8 | |
| 15 | 2002 | 8 | |
| 16 | 2004 | 7 | |
| 17 | 2013 | 7 | |
| 18 | 2009 | 5 | |
| 19 | 2001 | 5 | |
| 20 | 1999 | 3 |
About Kai Hauser
Kai Hauser is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Mathematical Physics, Molecular Biology and History and Philosophy of Science, having authored 31 papers that have together received 817 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (10 papers), Advanced Topology and Set Theory (10 papers), Mathematical and Theoretical Analysis (5 papers), History and Theory of Mathematics (4 papers), Philosophy and Theoretical Science (3 papers), Effects of Radiation Exposure (3 papers), Phenomenology and Existential Philosophy (3 papers) and Philosophy, Science, and History (2 papers). The work is most often cited by research in Theoretical Computer Science (16 citations), Cancer Research (143 citations), Geometry and Topology (83 citations), Radiology, Nuclear Medicine and Imaging (150 citations) and Oncology (164 citations). Kai Hauser has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Peter E. Huber, Amir Abdollahi, Carmen Timke, Peter Peschke, Jürgen Debus, Ute Wirkner, Klaus J. Weber, Monika Dadrich, Paul Flechsig and Kenneth E. Lipson. Their work appears in journals such as Annals of Pure and Applied Logic, Clinical Cancer Research, Cell Cycle, Archive for Mathematical Logic and Journal of Symbolic Logic.
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.