Ariela Sofer
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Software top 10%
- Software Reliability and Analysis Research
Papers in
-
- Advanced Optimization Algorithms Research 7
- Iterative Methods for Nonlinear Equations 3
- Software 3
- Software Reliability and Analysis Research 3
- Co-authors
- Stephen G. NashIgor GrivaCalvin A. JohnsonJürgen SeidelDouglas R. MillerMargaret E. Daube-WitherspoonWilliam GandlerRichard E. Carson
- Journals
- Annals of Operations Research (3 papers)SIAM Journal on Optimization (3 papers)Mathematical Programming (2 papers)ACM Transactions on Mathematical Software (1 paper)Operations Research Letters (1 paper)
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Ariela Sofer
23 papers receiving 621 citations
Peers
Comparison fields: 5 of 109
- Numerical Analysis 113
- Software 51
- Radiation 80
- Radiology, Nuclear Medicine and Imaging 193
- Computational Theory and Mathematics 120
Countries citing papers authored by Ariela Sofer
This map shows the geographic impact of Ariela Sofer'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 Ariela Sofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariela Sofer more than expected).
Fields of papers citing papers by Ariela Sofer
This network shows the impact of papers produced by Ariela Sofer. 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 Ariela Sofer. The network helps show where Ariela Sofer may publish in the future.
Co-authors
The 25 scholars most cited alongside Ariela Sofer, 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 | 2018 | 2 | |
| 2 | 2009 | 200 | |
| 3 | 2007 | 111 | |
| 4 | 2006 | 2 | |
| 5 | 2004 | 1 | |
| 6 | 2003 | 1 | |
| 7 | 2001 | 1 | |
| 8 | 2001 | 9 | |
| 9 | 2000 | 29 | |
| 10 | 1999 | 27 | |
| 11 | 1998 | 15 | |
| 12 | 1997 | 75 | |
| 13 | 1996 | 28 | |
| 14 | 1996 | 10 | |
| 15 | 1993 | 33 | |
| 16 | 1992 | 2 | |
| 17 | 1991 | 14 | |
| 18 | 1989 | 27 | |
| 19 | 1987 | 18 | |
| 20 | 1985 | 10 |
About Ariela Sofer
Ariela Sofer is a scholar working on Numerical Analysis, Software, Safety, Risk, Reliability and Quality, Computational Theory and Mathematics and Statistics and Probability, having authored 24 papers that have together received 695 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (7 papers), Matrix Theory and Algorithms (6 papers), Medical Imaging Techniques and Applications (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Software Reliability and Analysis Research (3 papers), Iterative Methods for Nonlinear Equations (3 papers), Advanced MRI Techniques and Applications (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Numerical Analysis (113 citations), Software (51 citations), Radiation (80 citations), Radiology, Nuclear Medicine and Imaging (193 citations) and Computational Theory and Mathematics (120 citations). Ariela Sofer has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Stephen G. Nash, Igor Griva, Calvin A. Johnson, Jürgen Seidel, Douglas R. Miller, Margaret E. Daube-Witherspoon, William Gandler, Richard E. Carson, Julia K. Locklin and Bev Littlewood. Their work appears in journals such as Annals of Operations Research, SIAM Journal on Optimization, Mathematical Programming, ACM Transactions on Mathematical Software and Operations Research Letters.
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.