Conference Information

TAMC 2026: Annual Conference on Theory and Applications of Models of Computation

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Submission Date:
2026-08-10 Extended
Notification Date:
2026-09-25
Conference Date:
2026-11-13
Location:
Qingdao, China
Years:
ICORE: C   Viewed: 27294   Tracked: 3   Attend: 0

Conference Partner Index (CP-I)

63.7 / 100
Ranked #469 of 5,658 conferences · Top 9%
Academic recognition (35%)
58
Submission selectivity (20%)
59
Editions held (20%)
82
Community attention (10%)
24
Public record completeness (15%)
85

Inputs used: Listed as ICORE C · Acceptance rate: 45.8% (mean of 5 editions on file) · Editions on record: 20 · Researchers following it here: 3 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

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 2026-09-10

Call For Papers

TAMC 2026 (Annual Conference on Theory and Applications of Models of Computation) is a ICORE C conference held in Qingdao, China on 2026-11-13. The paper submission deadline is 2026-08-10 (extended). Acceptance notifications are sent on 2026-09-25.

TAMC 2026 solicits high-quality papers on all aspects of the theory and applications of models of computation, including but not limited to computability, complexity, algorithms, and formal methods. Scope Topics of Interest Computational complexity and algorithms Models of computation Automata theory and formal languages Quantum computing Algorithmic game theory Cryptography and data security Computational biology and bioinformatics Parallel and distributed computing Formal verification and program analysis Computational geometry and graph theory Computational social choice Combinatorial optimization Information calculus Information decoding Information generating Learning theory Theory of Awareness Models of AI Models of AI for Science
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Acceptance Ratio

Average acceptance rate: 39.3% over 13 years (2006–2020).

YearSubmittedAcceptedAccepted(%)
2020833744.6%
2019604371.7%
20171034543.7%
2015783544.9%
20141122724.1%
2013703144.3%
2012864046.5%
20111365137.5%
2010763546.1%
2009863945.3%
20081924825%
20075006713.4%
20063197523.5%

Related Journals

CCFFull NameImpact FactorPublisherISSN
Journal of Control Theory and Applications1.5Springer1672-6340
CTheory of Computing Systems0.4Springer1432-4350
Journal of Optimization Theory and Applications1.5Springer0022-3239
International Journal of Circuit Theory and Applications1.6Wiley0098-9886
ComputationMDPI2079-3197
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X

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