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ICDE 2021 : International Conference on Data Engineering (ICDE)

Location: Chania, Crete , Greece

Submission deadline: 10/14/2020

Conference dates: 4/19/2021 - 4/19/2021

Research H-index
45

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 31 537 1101 45

Call for Papers

IEEE ICDE 2021 CALL FOR RESEARCH PAPERS

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*** This CFP and additional information will also be made available

*** on the conference web site at: www.icde2021.gr

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The 37th IEEE International Conference on Data Engineering (ICDE 2021) will be hosted in Chania, Crete, Greece, during the week of April 19-23, 2021. We invite the submission of original research contributions in the following areas. We also welcome any original contributions that may cross the boundaries among areas or point in other novel directions of interest to the database research community:



Benchmarking, Performance Modelling, and Tuning

Crowdsourcing

Data Integration, Metadata Management, and Interoperability

Data Mining and Knowledge Discovery

Data Models, Semantics, Query languages

Data Provenance, cleaning, curation

Data Science

Data Stream Systems and Sensor Networks

Data Visualization and Interactive Data Exploration

Database Security, Privacy, and Trust

Database technology for machine learning

Machine Learning for Database Systems

Distributed, Parallel and P2P Data Management

Graphs, RDF, Web Data and Social Networks

Modern Hardware and In-Memory Database Systems

Query Processing, Indexing, and Optimization

Search and Information extraction

Strings, Texts, and Keyword Search

Temporal, Spatial, Mobile and Multimedia

Uncertain, Probabilistic and Approximate Databases

Workflows, Scientific Data Management







IMPORTANT DATES

Following earlier editions of the conference, IEEE ICDE 2021 will have two rounds of research paper submissions, with each round involving two rounds of reviewing to allow for revisions. Papers rejected in the first round are not allowed to be re-submitted in the second round. All notification dates are approximate.



All deadlines are 11:59PM Anywhere on Earth (AoE).



First Round:

Abstract submission due: June 10, 2020

Submission due: June 17, 2020

Notification to authors (Accept/Revise/Reject): August 11, 2020

Revisions due: September 11, 2020

Notification to authors (Accept/Reject): October 2, 2020

Camera-ready copy due: November 2, 2020





Second Round:

Abstract submission due: October 7, 2020

Submission due: October 14, 2020

Notification to authors (Accept/Revise/Reject): December 15, 2020

Revisions due: January 15, 2020

Notification to authors (Accept/Reject): February 9, 2021

Camera-ready copy due: March 1, 2021







NOTES ON RESEARCH PAPERS

Manuscripts must be prepared in accordance with the IEEE format available at

https://www.ieee.org/conferences_events/conferences/publishing/templates.html



Research papers must not exceed 12 pages, including the bibliography and any appendix. Only electronic submissions in PDF format will be considered. The submission process will be handled electronically -- more details will become available on the conference web site shortly.



A paper submitted to IEEE ICDE 2021 cannot be under review for any other conference or journal during the entire time it is considered for ICDE'2021, and it must be substantially different from any previously published work. Submissions will be reviewed in a single-blind manner.



All accepted papers will be presented as posters at ICDE 2021, but the PC may decide to select only a subset of the accepted papers for a "conventional" presentation slot during the conference. However, all accepted papers will be treated equally in the conference proceedings, which are the persistent, archival record of the conference.



The best papers (as judged by the ICDE 2021 PC) will be selected for extended versions to be published in the IEEE Transactions on Knowledge and Data Engineering (TKDE). IEEE reserves the right to exclude a paper from distribution after the conference (e.g., removal from IEEE Xplore) if none of the authors attends the conference to present their paper.



Submissions that were rejected in the first round of IEEE ICDE 2021 research track are not eligible for re-submission to the second round.







CONFLICTS OF INTEREST

During submission of a research paper, the submission site will request information about Conflicts of Interest (COI) of the paper's authors with program committee (PC) members. It is the full responsibility of all authors of a paper to identify all (and only) PC members with potential COIs as per the definition provided on the submission site. Papers with incorrect or incomplete COI information as of the submission closing time are subject to immediate rejection.





Definition of Conflict of Interest (COI):

A paper author has a COI with a PC member when and only when one or more of the following conditions hold:



The PC member is a co-author of the paper.

The PC member has been a co-worker in the same company or university within the past two years.

The PC member has been a collaborator within the past two years.

The PC member is or was the author's primary thesis advisor, no matter how long ago.

The author is or was the PC member's primary thesis advisor, no matter how long ago.

The PC member is a relative or close personal friend of the author.

Overview

This page presents a comprehensive ranking of scientific conferences specializing in the field of Computer Science. The ranking has been meticulously developed by Research.com, a preeminent platform recognized for providing reliable and detailed data on scientific contributions across all major research domains, including Computer Science, since 2014.

The placement of each conference within the ranking is determined by a unique bibliometric score, an innovative metric conceived and calculated by Research.com. This score is derived from an integrative analysis of the estimated h-index and the number of leading scientists who have participated in each conference over the preceding three years. Such a methodology ensures an accurate and unbiased assessment of the scholarly impact and prestige of these conferences.

The latest ranking features Impact Score values as of 2024-11-27. To compile this authoritative list, experts from Research.com conducted a detailed and rigorous review of more than 2,742 conferences. This process involved the thorough inspection and evaluation of over 148,739 scientific documents published in the last three years by 13,184 distinguished scientists in the field of Computer Science. Each stage of analysis was designed to uphold the highest standards of academic rigor and data integrity.

For those interested in the underlying methodology, including the precise criteria and computational techniques utilized to compute the ranking scores, complete information is available on our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at International Conference on Data Engineering (based on the number of publications) are:

  • Xuemin Lin (76 papers) published 10 papers at the last edition, 2 less than at the previous edition,
  • Lei Chen (75 papers) published 7 papers at the last edition the same number as at the previous edition,
  • Divesh Srivastava (67 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Philip S. Yu (64 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Xiaofang Zhou (52 papers) published 7 papers at the last edition, 2 more than at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Data Engineering (based on the number of publications) are:

  • IBM (370 papers) published 6 papers at the last edition,
  • Microsoft (212 papers) published 8 papers at the last edition, 3 more than at the previous edition,
  • National University of Singapore (185 papers) published 7 papers at the last edition, 5 less than at the previous edition,
  • Hong Kong University of Science and Technology (160 papers) published 18 papers at the last edition, 4 more than at the previous edition,
  • University of Illinois at Urbana–Champaign (125 papers) published 2 papers at the last edition the same number as at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 3.86% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.93% were posted by at least one author from the top 10 institutions publishing at the conference. Another 10.49% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.90% of all publications and 45.68% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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