Conference Information
SODA 2022: ACM-SIAM Symposium on Discrete Algorithms
https://www.siam.org/conferences/cm/conference/soda22Submission Date: |
2021-07-05 |
Notification Date: |
|
Conference Date: |
2022-01-09 |
Location: |
Alexandria, Virginia, USA |
CCF: a CORE: a* QUALIS: a1 Viewed: 54994 Tracked: 37 Attend: 3
Call For Papers
SODA is sponsored by the SIAM Activity Group on Discrete Mathematics and the ACM Special Interest Group on Algorithms and Computation Theory. This symposium focuses on research topics related to efficient algorithms and data structures for discrete problems. In addition to the design of such methods and structures, the scope also includes their use, performance analysis, and the mathematical problems related to their development or limitations. Performance analyses may be analytical or experimental and may address worst-case or expected-case performance. Studies can be theoretical or based on data sets that have arisen in practice and may address methodological issues involved in performance analysis. The following meetings will be held jointly: ACM-SIAM Symposium on Discrete Algorithms (SODA22) Algorithm Engineering and Experiments (ALENEX22) SIAM Symposium on Algorithmic Principles of Computer Systems (APOCS22) SIAM Symposium on Simplicity in Algorithms (SOSA22) Included Themes Aspects of combinatorics and discrete mathematics, such as: Combinatorial structures Discrete optimization Discrete probability Finite metric spaces Graph theory Mathematical programming Random structures Topological problems Core topics in discrete algorithms, such as: Algorithm analysis Data structures Experimental algorithmics Algorithmic aspects of other areas of computer science, such as: Combinatorial scientific computing Communication networks and the Internet Computational geometry and topology Computer graphics and computer vision Computer systems Cryptography and security Databases and information retrieval Data compression Data privacy Distributed and parallel computing Game theory and mechanism design Machine learning Quantum computing
Last updated by Dou Sun in 2021-06-11
Acceptance Ratio
Year | Submitted | Accepted | Accepted(%) |
---|---|---|---|
2021 | 641 | 180 | 28.1% |
2020 | 594 | 182 | 30.6% |
2019 | 591 | 183 | 31% |
2018 | 547 | 180 | 32.9% |
2017 | 533 | 181 | 34% |
2016 | 527 | 149 | 28.3% |
2015 | 495 | 137 | 27.7% |
2014 | 485 | 136 | 28% |
2013 | 454 | 135 | 29.7% |
2012 | 517 | 138 | 26.7% |
2011 | 452 | 136 | 30.1% |
2010 | 445 | 135 | 30.3% |
2009 | 458 | 135 | 29.5% |
2008 | 455 | 135 | 29.7% |
2007 | 382 | 139 | 36.4% |
2006 | 440 | 135 | 30.7% |
2005 | 488 | 135 | 27.7% |
Best Papers
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Related Journals
CCF | Full Name | Impact Factor | Publisher | ISSN |
---|---|---|---|---|
c | IEEE Signal Processing Letters | 3.268 | IEEE | 1070-9908 |
c | Discrete Applied Mathematics | 1.139 | Elsevier | 0166-218X |
Discrete Mathematics | 0.770 | Elsevier | 0012-365X | |
Journal of Computational Biology | Mary Ann Liebert | 1066-5277 | ||
Journal of Experimental Algorithmics | ACM | 1084-6654 | ||
Algorithms | MDPI | 1999-4893 | ||
b | ACM Transactions on Algorithms | ACM | 1549-6325 | |
ACM Transactions on Spatial Algorithms and Systems | ACM | 2374-0353 | ||
b | Algorithmica | 0.791 | Springer | 0178-4617 |
Cybernetics and Systems Analysis | Springer | 1060-0396 |
Full Name | Impact Factor | Publisher |
---|---|---|
IEEE Signal Processing Letters | 3.268 | IEEE |
Discrete Applied Mathematics | 1.139 | Elsevier |
Discrete Mathematics | 0.770 | Elsevier |
Journal of Computational Biology | Mary Ann Liebert | |
Journal of Experimental Algorithmics | ACM | |
Algorithms | MDPI | |
ACM Transactions on Algorithms | ACM | |
ACM Transactions on Spatial Algorithms and Systems | ACM | |
Algorithmica | 0.791 | Springer |
Cybernetics and Systems Analysis | Springer |
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