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ACM

Conference on Innovative Data Systems Research (CIDR)

Location: Amsterdam , Netherlands

Submission deadline: 8/19/2022

Conference dates: 1/8/2023 - 1/11/2023

Research H-index
14

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 232 43 37 14

Call for Papers

The annual Conference on Innovative Data Systems Research (CIDR) is a systems-oriented conference, complementary in its mission to the mainstream database conferences like SIGMOD and VLDB, emphasizing the systems architecture perspective. CIDR gathers researchers and practitioners from both academia and industry to discuss the latest innovative and visionary ideas in the field.

We invite contributions on novel approaches to data management systems, architecture, and usage. CIDR encourages contributions about innovative and risky data management system architecture ideas, systems-building experience and insight, resourceful experimental studies, and provocative position statements. CIDR especially values innovation, experience-based insight, and vision.

Overview

This ranking presents a comprehensive evaluation of scientific conferences within the field of Computer Science. Developed by Research.com, a leading authority in the provision of reliable and up-to-date data on scientific research since 2014, the ranking offers valuable insights into the impact and recognition of scholarly events across this rapidly evolving discipline.

The ranking methodology is founded upon Research.com’s unique bibliometric score, meticulously computed by incorporating the estimated h-index and the number of leading scientists who have participated in the conference over the past three years. This approach ensures the selection and recognition of conferences that attract significant contributions from preeminent researchers in Computer Science, reflecting both academic excellence and sustained influence.

All Impact Score values displayed in this ranking were gathered as of 2024-11-27, guaranteeing a current representation of the field’s top conferences. The ranking process was notably rigorous: more than 2,742 conferences were carefully examined and selected following an extensive review of over 148,739 scientific documents published during the last three years by a distinguished cohort of 13,184 leading scientists active in Computer Science research.

This exhaustive and meticulously designed analysis underscores the commitment to delivering a ranking that is both robust and reflective of the contemporary scientific landscape. For readers interested in the specific procedures and metrics involved in the computation of ranking scores, a comprehensive explanation 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 Conference on Innovative Data Systems Research (based on the number of publications) are:

  • Jens Dittrich (5 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Samuel Madden (5 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Arnab Nandi (5 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Alekh Jindal (4 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Carlo Curino (4 papers) published 2 papers at the last edition, 1 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 Conference on Innovative Data Systems Research (based on the number of publications) are:

  • Microsoft (25 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • Massachusetts Institute of Technology (15 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • University of California, Berkeley (13 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • IBM (12 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • University of Wisconsin-Madison (11 papers) published 3 papers at the last edition, 1 more than 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 2019 edition, 12.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 18.18% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.91% of all publications and 15.91% 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.

Related Online Degrees & Career Pathways

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