会议信息

WG 2027: International Workshop on Graph-Theoretic Concepts in Computer Science

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截稿日期:
2027-01-31 还有 100 天
通知日期:
2027-04-09
会议日期:
2027-06-15
会议地点:
Schloss Schney, Germany
届数:
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ICORE: B   QUALIS: B1   浏览: 22260   关注: 1   参加: 0
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会伴指数 (CP-I)

75.6 / 100
全站第 259 名 / 共 5,759 个会议 · 前 5%
学术认可 (35%)
78
投稿选择性 (20%)
69
会议传承 (20%)
100
社区关注 (10%)
19
资料公开度 (15%)
85

用到的输入: 收录等级：ICORE B, QUALIS B1 · 录用率：38.1%（有记录的 5 届的均值） · 有据可查的届次：53 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 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 100% —— 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 1.2 · 算于 2026-10-23

征稿

WG 2027 (International Workshop on Graph-Theoretic Concepts in Computer Science) is a ICORE B / QUALIS B1 conference held in Schloss Schney, Germany on 2027-06-15. The paper submission deadline is 2027-01-31. Acceptance notifications are sent on 2027-04-09.

We invite authors to submit papers describing original research of theoretical or practical significance to the 53rd International Workshop on Graph-Theoretic Concepts in Computer Science (WG 2027), which will will take place from Tuesday June 15th to Thursday June 18th 2027 in Franken-Akademie Schloss Schney, Germany. Aims and scope WG is mainly concerned with efficient algorithms of various types (e.g., sequential, parallel, distributed, randomized, parameterized) for problems on graphs and networks. The goal is to present recent results and to identify and explore directions for future research. Submitted papers should describe original results in any aspects of graph theory related to computer science, including but not restricted to: design and analysis of sequential, parallel, randomized, parameterized algorithms distributed graph and network algorithms structural graph theory computational complexity of graph and network problems graph drawing and layouts computational geometry computational biology graph mining random graphs and models of the web and scale-free networks support of the above concepts by suitable implementations and applications
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录用率

平均录用率: 39.4% 15 年间 (2006–2020).

年份提交数录用数录用率(%)
2020943234%
2019872933.3%
2018663045.5%
2017713143.7%
2016742533.8%
2015793240.5%
2014803240%
2013613455.7%
2012782937.2%
2011522853.8%
2010942829.8%
2009692840.6%
2008763039.5%
2007993030.3%
2006913033%

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