会议信息

TTCS 2017: IFIP International Conference on Topics in Theoretical Computer Science

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TTCS
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截稿日期:
2017-05-15 Extended
通知日期:
2017-06-26
会议日期:
2017-09-12
会议地点:
Tehran, Iran
届数:
2
浏览: 13246   关注: 0   参加: 0

会伴指数 (CP-I)

49.3 / 100
全站第 1,662 名 / 共 5,647 个会议 · 前 30%

理论与算法 第 72 / 138

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%)
70
会议传承 (20%)
43
社区关注 (10%)
8
资料公开度 (15%)
55

用到的输入: 录用率：36.7%（有记录的 2 届的均值） · 有据可查的届次：4 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 65% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-03

征稿

TTCS 2017 (IFIP International Conference on Topics in Theoretical Computer Science) is an academic conference held in Tehran, Iran on 2017-09-12. The paper submission deadline is 2017-05-15 (extended). Acceptance notifications are sent on 2017-06-26.

TTCS is a new bi-annual conference series, intending to serve as a forum for novel and high-quality research in all areas of Theoretical Computer Science. The conference is held in cooperation with the European Association for Theoretical Computer Science. There will be a number of satellite events at TTCS, These will feature presentation of early research results, and position papers. There will also be a forum for Ph.D. students to receive comments about their ongoing research projects. Topics of interest include but are not limited to: Track A: Algorithms and Complexity algorithms and data structures, algorithmic coding theory, algorithmic graph theory and combinatorics, approximation algorithms, computational complexity, computational geometry, computational geometry, computational learning theory, economics and algorithmic game theory, fixed parameter algorithms, machine learning optimization, parallel and distributed algorithms, quantum computing, randomness in computing, theoretical cryptography, Track B: Logic, Semantics, and Programming Theory algebra and co-algebra in computer science, concurrency theory, coordination languages, formal verification and model-based testing, logic in computer science, methods, models of computation and reasoning for embedded, hybrid, and cyber-physical systems, stochastic and probabilistic specification and reasoning, theoretical aspects of other CS-related research areas, e.g., computational science, databases, information retrieval, and networking, theory of programming languages, and type theory and its application in program verification.
由 Dou Sun 最后更新于

录用率

平均录用率: 36.7% 2 年间 (2017–2020).

年份提交数录用数录用率(%)
202024833.3%
201720840%

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