Gerald Kaiser

30 papers receiving 531 citations

Peers

Gerald Kaiser
Comparison fields: 5 of 102
  • Applied Mathematics 122
  • Computer Vision and Pattern Recognition 142
  • Statistical and Nonlinear Physics 69
  • Geophysics 74
  • Mathematical Physics 40
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Stefan Kunis Germany
Romain Murenzi United States
Guy Battle United States
Jean‐Michel Combes France
Peter J. Kostelec United States
J. L. Yen Canada
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Thomas Sonar Germany
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Gerald Kaiser relative to Stefan Kunis Germany Stefan Kunis's profile →
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Countries citing papers authored by Gerald Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010281
2 198045
3
Quantum Physics, Relativity, and Complex Spacetime: Towards a New Synthesis
199029
4 199626
5 199824
6 201123
7 199219
8 200018
9 200915
10 199614
11 200414
12 200413
13 197712
14 198111
15 201111
16 19947
17 19967
18 20087
19 20157
20 19876

About Gerald Kaiser

Gerald Kaiser is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Applied Mathematics, Oceanography and Geophysics, having authored 33 papers that have together received 622 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), Mathematical Analysis and Transform Methods (7 papers), Underwater Acoustics Research (7 papers), Seismic Imaging and Inversion Techniques (6 papers), Electromagnetic Scattering and Analysis (4 papers), Algebraic and Geometric Analysis (3 papers), Noncommutative and Quantum Gravity Theories (3 papers) and Microwave Imaging and Scattering Analysis (3 papers). The work is most often cited by research in Applied Mathematics (122 citations), Computer Vision and Pattern Recognition (142 citations), Statistical and Nonlinear Physics (69 citations), Geophysics (74 citations) and Mathematical Physics (40 citations). Gerald Kaiser has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Jerrold E. Marsden, Thorkild B. Hansen, Ehud Heyman, Lonnie H. Hudgins, Edwin A. Marengo, Anthony J. Devaney and Richard A. Albanese. Their work appears in journals such as Journal of Physics A Mathematical and Theoretical, IEEE Transactions on Antennas and Propagation, Mathematical Methods in the Applied Sciences, Archive of Applied Mechanics and General Relativity and Gravitation.

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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