Conference Information

CSR 2019: International Computer Science Symposium in Russia

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Submission Date:
2019-01-03 Extended
Notification Date:
2019-02-25
Conference Date:
2019-07-01
Location:
Novosibirsk, Russia
Years:
14
Viewed: 27635   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

52.4 / 100
Ranked #1,131 of 5,683 conferences · Top 20%
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%)
56
Editions held (20%)
73
Community attention (10%)
8
Public record completeness (15%)
55

Inputs used: Acceptance rate: 48.3% (mean of 5 editions on file) · Editions on record: 14 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Past editions (+3.0) · 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 65% - 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 2026-09-21

Call For Papers

CSR 2019 (International Computer Science Symposium in Russia) is an academic conference held in Novosibirsk, Russia on 2019-07-01. The paper submission deadline is 2019-01-03 (extended). Acceptance notifications are sent on 2019-02-25.

CSR is an annual international conference held in Russia that is designed to cover a broad range of topics in Theoretical Computer Science. The list of previous CSR conferences can be found at https://logic.pdmi.ras.ru/~csr/. Conference proceedings are published in Springer's Lecture Notes in Computer Science series. A selection of accepted papers will be published in a special issue of the Springer journal, "Theory of Computing Systems". CSR'19 will be part of the Computer Science Summer in Russia which will also include the Ershov Informatics Conference (PSI'19) and a summer school in Computer Science for students. TOPICS include, but are not limited to: algorithms and data structures computational complexity randomness in computing, approximation algorithms combinatorial optimizaiton, constraint satisfaction computational geometry formal languages and automata codes and cryptography combinatorics in computer science applications of logic to computer science, proof complexity fundamentals of machine learning theoretical aspects of big data
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 44.7% over 14 years (2007–2020).

YearSubmittedAcceptedAccepted(%)
2020492551%
2019713143.7%
2018422457.1%
2017442250%
2016712839.4%
2015612541%
2014762735.5%
2013522955.8%
2012662842.4%
2011762938.2%
2010623048.4%
2009662943.9%
2008622743.5%
2007953435.8%

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