Kai Hauser
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Theoretical Computer Science top 10%
Papers in
-
- Computability, Logic, AI Algorithms 10
-
- Advanced Topology and Set Theory 9
- Co-authors
- Peter E. Huber (9 shared papers)Amir Abdollahi (6 shared papers)Carmen Timke (3 shared papers)Jürgen Debus (3 shared papers)Peter Peschke (3 shared papers)Ute Wirkner (3 shared papers)Klaus J. Weber (2 shared papers)Paul Flechsig (3 shared papers)
- Journals
- Annals of Pure and Applied Logic (4 papers)Clinical Cancer Research (2 papers)Journal of Symbolic Logic (2 papers)Archive for Mathematical Logic (2 papers)Cell Cycle (2 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Kai Hauser
26 papers receiving 739 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 161
- Theoretical Computer Science 11
- Geometry and Topology 60
- Radiology, Nuclear Medicine and Imaging 159
- Oncology 186
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 166 | |
| 2 | 2012 | 127 | |
| 3 | 2008 | 116 | |
| 4 | 2015 | 77 | |
| 5 | 2011 | 72 | |
| 6 | 2006 | 45 | |
| 7 | 2010 | 37 | |
| 8 | 1991 | 19 | |
| 9 | 1995 | 13 | |
| 10 | 2006 | 13 | |
| 11 | 2000 | 8 | |
| 12 | 2004 | 7 | |
| 13 | 1992 | 7 | |
| 14 | 2003 | 7 | |
| 15 | 2013 | 6 | |
| 16 | 1997 | 6 | |
| 17 | 2002 | 6 | |
| 18 | 2009 | 5 | |
| 19 | 2001 | 5 | |
| 20 | 2014 | 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 29 papers that have together received 759 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (10 papers), Advanced Topology and Set Theory (9 papers), Mathematical and Theoretical Analysis (5 papers), History and Theory of Mathematics (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Philosophy and Theoretical Science (3 papers), Phenomenology and Existential Philosophy (3 papers) and Effects of Radiation Exposure (3 papers). The work is most often cited by research in Cancer Research (161 citations), Theoretical Computer Science (11 citations), Geometry and Topology (60 citations), Radiology, Nuclear Medicine and Imaging (159 citations) and Oncology (186 citations). Kai Hauser has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Peter E. Huber, Amir Abdollahi, Carmen Timke, Jürgen Debus, Peter Peschke, Ute Wirkner, Klaus J. Weber, Paul Flechsig, Monika Dadrich and Kenneth E. Lipson. Their work appears in journals such as Annals of Pure and Applied Logic, Clinical Cancer Research, Journal of Symbolic Logic, Archive for Mathematical Logic and Cell Cycle.
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.