This map shows the geographic impact of W. G.'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 W. G. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. G. more than expected).
This network shows the impact of papers produced by W. G.. 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 W. G.. The network helps show where W. G. may publish in the future.
Co-authors
The 4 scholars most cited alongside W. G., linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with W. G.Line = papers co-authored togetherW. G. links everyone, so they are left out of the graph.
Mathematics of Computation·W. G., L. Collatz, G. Meinardus, Heinz Unger
1970
1
About W. G.
W. G. is a scholar working on Applied Mathematics, Modeling and Simulation, Numerical Analysis, Computational Theory and Mathematics and Nuclear Energy and Engineering, having authored 8 papers that have together received 640 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (7 papers), Mathematical and Computational Methods (4 papers), Numerical methods for differential equations (2 papers), Mathematical Approximation and Integration (1 paper) and Matrix Theory and Algorithms (1 paper). The work is most often cited by research in Numerical Analysis (49 citations), Modeling and Simulation (52 citations), Applied Mathematics (139 citations), Computational Mechanics (107 citations) and Computational Theory and Mathematics (50 citations). Frequent co-authors include Peter R. Graves-Morris, Jan G. Verwer, R. S. Varga and E. B. Saff. Their work appears in journals such as Mathematics of Computation.
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.