G. G. Lorentz
- Applied Mathematics top 1%
- Mathematical Physics top 2%
- Statistics and Probability top 1%
- Numerical Analysis top 2%
- Computational Theory and Mathematics top 2%
- Co-authors
- Karl ZellerAlbert WilanskyS. D. RiemenschneiderTetsuya ShimogakiΚ. JetterKy FanHubert BerensJurian Hoogewerff
- Topics
- Approximation Theory and Sequence Spaces (18 papers)Advanced Numerical Analysis Techniques (13 papers)Mathematical Approximation and Integration (8 papers)
- Journals
- SIAM Journal on Numerical AnalysisTransactions of the American Mathematical SocietyAmerican Mathematical Monthly
- Partner nations
- United StatesGermanyCanada
In The Last Decade
G. G. Lorentz
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 111
- Applied Mathematics 626
- Mathematical Physics 399
- Statistics and Probability 327
- Numerical Analysis 282
- Computational Theory and Mathematics 253
Countries citing papers authored by G. G. Lorentz
This map shows the geographic impact of G. G. Lorentz'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 G. G. Lorentz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. G. Lorentz more than expected).
Fields of papers citing papers by G. G. Lorentz
This network shows the impact of papers produced by G. G. Lorentz. 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 G. G. Lorentz. The network helps show where G. G. Lorentz may publish in the future.
Co-authorship network of co-authors of G. G. Lorentz
This figure shows the co-authorship network connecting the top 25 collaborators of G. G. Lorentz. A scholar is included among the top collaborators of G. G. Lorentz 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 G. G. Lorentz. G. G. Lorentz 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 | 11 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 19 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 15 | |
| 12 | 43 | |
| 13 | 6 | |
| 14 | 58 | |
| 15 | 87 | |
| 16 | 38 | |
| 17 | 13 | |
| 18 | 5 | |
| 19 | 0 | |
| 20 | 31 |
About G. G. Lorentz
G. G. Lorentz is a scholar working on Theoretical Computer Science, Numerical Analysis and Statistics and Probability, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (18 papers), Advanced Numerical Analysis Techniques (13 papers) and Mathematical Approximation and Integration (8 papers). The work is most often cited by research in Applied Mathematics (626 citations), Numerical Analysis (282 citations) and Mathematical Physics (399 citations). G. G. Lorentz has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Karl Zeller, Albert Wilansky, S. D. Riemenschneider, Tetsuya Shimogaki, Κ. Jetter, Ky Fan, Hubert Berens, Jurian Hoogewerff, Rudolph A. Lorentz and G. van der Veer. Their work appears in journals such as SIAM Journal on Numerical Analysis, Transactions of the American Mathematical Society and American Mathematical Monthly.
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.