Gerald A. Shultz
Impact in
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
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- Matrix Theory and Algorithms
- Optimization and Variational Analysis
- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Advanced Optimization Algorithms Research 6
- Iterative Methods for Nonlinear Equations 3
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- Teaching and Learning Programming 4
- Journals
- Mathematical Programming (2 papers)SIAM Journal on Numerical Analysis (2 papers)Annals of Operations Research (1 paper)Journal of computing sciences in colleges (4 papers)CU Scholar (University of Colorado Boulder) (1 paper)
- Partner nations
- United States
In The Last Decade
Gerald A. Shultz
10 papers receiving 763 citations
Peers
Comparison fields: 5 of 121
- Numerical Analysis 359
- Computational Theory and Mathematics 301
- Computational Mathematics 8
- Computational Mechanics 148
- Control and Systems Engineering 112
Countries citing papers authored by Gerald A. Shultz
This map shows the geographic impact of Gerald A. Shultz'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 A. Shultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald A. Shultz more than expected).
Fields of papers citing papers by Gerald A. Shultz
This network shows the impact of papers produced by Gerald A. Shultz. 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 A. Shultz. The network helps show where Gerald A. Shultz may publish in the future.
Co-authors
The 2 scholars most cited alongside Gerald A. Shultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 326 | |
| 2 | 1987 | 275 | |
| 3 | 1985 | 178 | |
| 4 | 1988 | 52 | |
| 5 | 1988 | 10 | |
| 6 | Integrating 3D graphics into early CS courses | 2006 | 6 |
| 7 | 2000 | 2 | |
| 8 | The story engine concept in CS education | 2004 | 2 |
| 9 | Using a restricted subset of Java in the first part of CS1 | 2007 | 2 |
| 10 | Parallel Quasi-Newton Methods for Unconstrained Optimization ; CU-CS-396-88 | 1988 | 2 |
About Gerald A. Shultz
Gerald A. Shultz is a scholar working on Numerical Analysis, Computer Science Applications, Computational Theory and Mathematics, Media Technology and Software, having authored 10 papers that have together received 855 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (6 papers), Teaching and Learning Programming (4 papers), Numerical Methods and Algorithms (3 papers), Iterative Methods for Nonlinear Equations (3 papers), Matrix Theory and Algorithms (2 papers), Experimental Learning in Engineering (2 papers), Model-Driven Software Engineering Techniques (1 paper) and Artificial Intelligence in Education (1 paper). The work is most often cited by research in Numerical Analysis (359 citations), Computational Theory and Mathematics (301 citations), Computational Mathematics (8 citations), Computational Mechanics (148 citations) and Control and Systems Engineering (112 citations). Gerald A. Shultz has collaborated with scholars based in United States. Frequent co-authors include Richard H. Byrd and Robert B. Schnabel. Their work appears in journals such as Mathematical Programming, SIAM Journal on Numerical Analysis, Annals of Operations Research, Journal of computing sciences in colleges and CU Scholar (University of Colorado Boulder).
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.