William D. Kalies
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Statistical and Nonlinear Physics top 5%
- Materials Chemistry
- Control and Systems Engineering top 10%
- Co-authors
- Robert VandervorstKonstantin MischaikowJarosław KwapiszMarcio GameiroScott A. BarnettPeter W. VoorheesJ. R. WilsonSarah Day
- Topics
- Quantum chaos and dynamical systems (13 papers)Topological and Geometric Data Analysis (10 papers)Mathematical Dynamics and Fractals (9 papers)
- Journals
- IEEE Transactions on Image ProcessingCommunications in Mathematical PhysicsSIAM Journal on Numerical Analysis
- Partner nations
- United StatesNetherlandsPoland
In The Last Decade
William D. Kalies
28 papers receiving 556 citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 198
- Mathematical Physics 168
- Statistical and Nonlinear Physics 167
- Materials Chemistry 91
- Control and Systems Engineering 82
Countries citing papers authored by William D. Kalies
This map shows the geographic impact of William D. Kalies'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 William D. Kalies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Kalies more than expected).
Fields of papers citing papers by William D. Kalies
This network shows the impact of papers produced by William D. Kalies. 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 William D. Kalies. The network helps show where William D. Kalies may publish in the future.
Co-authorship network of co-authors of William D. Kalies
This figure shows the co-authorship network connecting the top 25 collaborators of William D. Kalies. A scholar is included among the top collaborators of William D. Kalies 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 William D. Kalies. William D. Kalies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | On the dynamics of second-order Lagrangian systems | 12 |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 89 | |
| 9 | 10 | |
| 10 | 54 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 40 | |
| 15 | 63 | |
| 16 | 26 | |
| 17 | 17 | |
| 18 | 21 | |
| 19 | 66 | |
| 20 | 56 |
About William D. Kalies
William D. Kalies is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics and Mathematical Physics, having authored 31 papers that have together received 632 indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (13 papers), Topological and Geometric Data Analysis (10 papers) and Mathematical Dynamics and Fractals (9 papers). The work is most often cited by research in Mathematical Physics (168 citations), Statistical and Nonlinear Physics (167 citations) and Computational Theory and Mathematics (198 citations). William D. Kalies has collaborated with scholars based in United States, Netherlands and Poland. Frequent co-authors include Robert Vandervorst, Konstantin Mischaikow, Jarosław Kwapisz, Marcio Gameiro, Scott A. Barnett, Peter W. Voorhees, J. R. Wilson, Sarah Day, Paweł Pilarczyk and Hiroe Oka. Their work appears in journals such as IEEE Transactions on Image Processing, Communications in Mathematical Physics and SIAM Journal on Numerical Analysis.
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.