Conference Information

SODA 2027: ACM-SIAM Symposium on Discrete Algorithms

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Submission Date:
2026-07-09
Notification Date:
Conference Date:
2027-01-24
Location:
Philadelphia, Pennsylvania, USA
Years:
CCF: A   ICORE: A*   QUALIS: A1   Viewed: 537329   Tracked: 38   Attend: 3

Conference Partner Index (CP-I)

87.6 / 100
Ranked #96 of 5,650 conferences · Top 2%

#5 of 138 in Theory & Algorithms

Academic recognition (35%)
100
Submission selectivity (20%)
77
Editions held (20%)
84
Community attention (10%)
54
Public record completeness (15%)
100

Inputs used: Listed as CCF A, QUALIS A1 · Acceptance rate: 31.3% (mean of 5 editions on file) · Editions on record: 22 · Researchers following it here: 38 · Researchers who opened this page in the past 24 months: 11

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-05

Call For Papers

SODA 2027 (ACM-SIAM Symposium on Discrete Algorithms) is a CCF A / ICORE A* / QUALIS A1 conference held in Philadelphia, Pennsylvania, USA on 2027-01-24. The paper submission deadline is 2026-07-09.

Included Themes Aspects of combinatorics and discrete mathematics, such as: Combinatorial and geometric structures Discrete optimization Graph theory and graph algorithms Random structures and probabilistic methods Core topics in discrete algorithms, such as: Algorithm design and analysis Approximation and randomized algorithms Data structures Dynamic, streaming, and sub-linear algorithms Experimental algorithms Fixed-parameter tractability Lower bounds and fine-grained complexity Mathematical programming Online algorithms Algorithmic aspects of other areas of computer science, such as: Algorithmic aspects of fairness Algorithmic coding theory Combinatorial scientific computing Communication networks and the internet Computational geometry and topology Computer systems Cryptography, security, and privacy Databases and information retrieval Distributed and parallel computing Game theory and mechanism design Machine learning and AI Quantum computing Scheduling and resource allocation
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Acceptance Ratio

Average acceptance rate: 30.1% over 17 years (2005–2021).

YearSubmittedAcceptedAccepted(%)
202164118028.1%
202059418230.6%
201959118331%
201854718032.9%
201753318134%
201652714928.3%
201549513727.7%
201448513628%
201345413529.7%
201251713826.7%
201145213630.1%
201044513530.3%
200945813529.5%
200845513529.7%
200738213936.4%
200644013530.7%
200548813527.7%

Best Papers

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