John Glick
Impact in
- Applied Mathematics top 5%
- Statistical and numerical algorithms
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
Papers in
-
- Statistical and numerical algorithms 5
-
- Teaching and Learning Programming 4
- Co-authors
- J. B. Rosen (9 shared papers)Haesun Park (5 shared papers)Pãnos M. Pardalos (1 shared paper)Daniel P. Sheehan (4 shared papers)Leo Porter (5 shared papers)Saturnino Garcia (1 shared paper)Cynthia Taylor (1 shared paper)J. D. Means (1 shared paper)
- Journals
- SIAM Journal on Optimization (2 papers)SIAM Journal on Matrix Analysis and Applications (2 papers)Journal of Global Optimization (1 paper)Computing (1 paper)Optimization and Engineering (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
John Glick
18 papers receiving 304 citations
Peers
Comparison fields: 5 of 52
- Applied Mathematics 162
- Numerical Analysis 54
- Computer Science Applications 49
- Computational Theory and Mathematics 71
- Computer Vision and Pattern Recognition 78
Countries citing papers authored by John Glick
This map shows the geographic impact of John Glick'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 John Glick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Glick more than expected).
Fields of papers citing papers by John Glick
This network shows the impact of papers produced by John Glick. 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 John Glick. The network helps show where John Glick may publish in the future.
Co-authors
The 15 scholars most cited alongside John Glick, 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 | 1996 | 137 | |
| 2 | 2013 | 57 | |
| 3 | 1998 | 46 | |
| 4 | 1987 | 45 | |
| 5 | 2000 | 15 | |
| 6 | 2002 | 13 | |
| 7 | 2000 | 9 | |
| 8 | 2006 | 6 | |
| 9 | 2002 | 6 | |
| 10 | 2002 | 4 | |
| 11 | Total least norm for linear and nonlinear structured problems | 1997 | 4 |
| 12 | 2000 | 3 | |
| 13 | 1991 | 2 | |
| 14 | Peer instruction in the CS classroom: a hands-on introduction: conference tutorial | 2011 | 1 |
| 15 | 2015 | 1 | |
| 16 | 2012 | 1 | |
| 17 | 1994 | 1 | |
| 18 | 2016 | 1 |
About John Glick
John Glick is a scholar working on Applied Mathematics, Computer Science Applications, Numerical Analysis, Education and Civil and Structural Engineering, having authored 18 papers that have together received 352 indexed citations. Recurring topics across this work include Statistical and numerical algorithms (5 papers), Innovative Teaching Methods (4 papers), Advanced Optimization Algorithms Research (4 papers), Teaching and Learning Programming (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Innovative Teaching and Learning Methods (3 papers), Image and Signal Denoising Methods (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Applied Mathematics (162 citations), Numerical Analysis (54 citations), Computer Science Applications (49 citations), Computational Theory and Mathematics (71 citations) and Computer Vision and Pattern Recognition (78 citations). John Glick has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include J. B. Rosen, Haesun Park, Pãnos M. Pardalos, Daniel P. Sheehan, Leo Porter, Saturnino Garcia, Cynthia Taylor, J. D. Means, Ryuta Tobe and Robert S. Maier. Their work appears in journals such as SIAM Journal on Optimization, SIAM Journal on Matrix Analysis and Applications, Journal of Global Optimization, Computing and Optimization and Engineering.
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.