Katharine Turner
- Computational Theory and Mathematics top 2%
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging
- Biophysics top 5%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Sayan MukherjeeJohn HarerYuriy MileykoMax NolteKathryn HessGiuseppe ChindemiPaweł DłotkoMichael Reimann
- Topics
- Topological and Geometric Data Analysis (11 papers)Homotopy and Cohomology in Algebraic Topology (5 papers)Advanced Neuroimaging Techniques and Applications (4 papers)
- Journals
- Physica D Nonlinear PhenomenaDiscrete & Computational GeometryFrontiers in Computational Neuroscience
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Katharine Turner
13 papers receiving 399 citations
Peers
Comparison fields: 5 of 75
- Computational Theory and Mathematics 245
- Cognitive Neuroscience 107
- Radiology, Nuclear Medicine and Imaging 74
- Biophysics 70
- Statistical and Nonlinear Physics 63
Countries citing papers authored by Katharine Turner
This map shows the geographic impact of Katharine Turner'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 Katharine Turner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharine Turner more than expected).
Fields of papers citing papers by Katharine Turner
This network shows the impact of papers produced by Katharine Turner. 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 Katharine Turner. The network helps show where Katharine Turner may publish in the future.
Co-authorship network of co-authors of Katharine Turner
This figure shows the co-authorship network connecting the top 25 collaborators of Katharine Turner. A scholar is included among the top collaborators of Katharine Turner 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 Katharine Turner. Katharine Turner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 218 | |
| 9 | 37 | |
| 10 | 26 | |
| 11 | 106 | |
| 12 | Probabilistic Fréchet Means and Statistics on Vineyards. | 5 |
| 13 | echet Means and Statistics on Vineyards | 1 |
| 14 | 1 |
About Katharine Turner
Katharine Turner is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Geometry and Topology, having authored 14 papers that have together received 421 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (11 papers), Homotopy and Cohomology in Algebraic Topology (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (245 citations), Biophysics (70 citations) and Cognitive Neuroscience (107 citations). Katharine Turner has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Sayan Mukherjee, John Harer, Yuriy Mileyko, Max Nolte, Kathryn Hess, Giuseppe Chindemi, Paweł Dłotko, Michael Reimann, Henry Markram and Rodrigo Perin. Their work appears in journals such as Physica D Nonlinear Phenomena, Discrete & Computational Geometry and Frontiers in Computational Neuroscience.
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.