Gilbert Stengle

840 citations
31 papers · 517 · h-index 9

Impact in

Papers in

Gilbert Stengle

23 papers receiving 462 citations

Peers

Gilbert Stengle
Comparison fields: 5 of 59
  • Numerical Analysis 134
  • Computational Theory and Mathematics 223
  • Algebra and Number Theory 60
  • Mathematical Physics 75
  • Theoretical Computer Science 10
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P. H. Diananda Singapore
G. Baley Price United States
Antoni Zygmund United States
Pierre Liardet France
Jorma K. Merikoski Finland
Werner Fenchel United States
Tien-Yien Li United States
B. J. Pettis United States
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Citations per field
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Citations per year

Countries citing papers authored by Gilbert Stengle

Since Specialization
Citations

This map shows the geographic impact of Gilbert Stengle'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 Gilbert Stengle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilbert Stengle more than expected).

Fields of papers citing papers by Gilbert Stengle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gilbert Stengle. 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 Gilbert Stengle. The network helps show where Gilbert Stengle may publish in the future.

Co-authors

The 7 scholars most cited alongside Gilbert Stengle, 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 Gilbert Stengle Line = papers co-authored together Gilbert Stengle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974287
2 199339
3 199530
4 199626
5 199523
6 199018
7 198917
8 197911
9 200010
10 19778
11 19697
12 19895
13 19685
14 19894
15 19713
16 19693
17 19973
18 19713
19 19893
20 20092

About Gilbert Stengle

Gilbert Stengle is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Numerical Analysis, Mathematical Physics and Geometry and Topology, having authored 31 papers that have together received 517 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (5 papers), Advanced Topics in Algebra (5 papers), Rings, Modules, and Algebras (4 papers), Algebraic and Geometric Analysis (4 papers), Mathematics and Applications (4 papers), Matrix Theory and Algorithms (3 papers), Mathematical functions and polynomials (3 papers) and Differential Equations and Numerical Methods (3 papers). The work is most often cited by research in Numerical Analysis (134 citations), Computational Theory and Mathematics (223 citations), Algebra and Number Theory (60 citations), Mathematical Physics (75 citations) and Theoretical Computer Science (10 citations). Gilbert Stengle has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Bennett Eisenberg, Gilbert Strang, Yuliy Baryshnikov, J. E. Yukich, Paweł Hitczenko, T. J. Delph and Ludwig Bröcker. Their work appears in journals such as Mathematische Annalen, Journal of Pure and Applied Algebra, Journal of Mathematical Analysis and Applications, Lecture notes in mathematics and 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.

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