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IEEE

The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA)

Location: Shenzhen , China

Submission deadline: 5/15/2022

Conference dates: 10/13/2022 - 10/16/2022

Research H-index
13

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 239 117 142 13

Call for Papers

The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA) features its strong interdisciplinary synergy between statistics (via ASA), computing and information/intelligence sciences (via IEEE and ACM), and cross-domain interactions between academia and business for data science and analytics. DSAA sets up a high standard for its organizing committee, keynote speeches, submissions to main conference and special sessions, and a competitive rate for paper acceptance. DSAA has been widely recognized as a dedicated flagship annual meeting in data science and analytics such as by the Google Metrics and China Computer Foundation. DSAA'2022 provides a premier forum that brings together researchers, industry and government practitioners, as well as developers and users of big data solutions for the exchange of the latest theoretical developments in Data Science and the best practice for a wide range of applications. DSAA'2022 invites submissions of papers describing innovative research on all aspects of data science and advanced analytics as well as application-oriented papers that make significant, original, and reproducible contributions to improving the practice of data science and analytics in real-world scenarios.

Overview

The Computer Science conference ranking presented on this page has been meticulously compiled by Research.com, a leading authority in the provision of trusted scientific data across all major fields, including Computer Science. Since 2014, Research.com has been recognized for its commitment to offering reliable information on scientific contributions, serving the global research community with excellence and integrity.

This ranking features a comprehensive list of scientific conferences within the Computer Science discipline, assessed and ordered according to a unique bibliometric score devised by Research.com. The score is calculated using a combination of the estimated h-index and the number of leading scientists who have participated in each conference during the preceding three years. This approach ensures that the ranking reflects not only the scholarly impact but also the quality and influence of the conferences as demonstrated by the presence of top-tier researchers.

The Impact Score values reflected in this ranking were collected on 2024-11-27, providing the most up-to-date assessment of conference influence within the field. The rigorous preparation process involved the examination of more than 2,742 conferences, each selected after a thorough and detailed inspection process. This evaluation was based on an extensive analysis of over 148,739 scientific documents published within the previous three years, contributed by 13,184 leading and well-respected scientists who are active in Computer Science research.

This extensive and complex analysis underscores the depth of scholarly investigation and expert review that support the credibility of this ranking. To ensure full transparency and to provide further insights into the methodology and criteria employed in the conference assessment and scoring process, we invite you to consult the detailed description 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 IEEE International Conference on Data Science and Advanced Analytics (based on the number of publications) are:

  • Kalyan Veeramachaneni (9 papers) absent at the last edition,
  • Luís Torgo (7 papers) absent at the last edition,
  • Philip S. Yu (7 papers) absent at the last edition,
  • Kenji Yamanishi (6 papers) absent at the last edition,
  • Dinh Phung (6 papers) absent at the last 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 IEEE International Conference on Data Science and Advanced Analytics (based on the number of publications) are:

  • Massachusetts Institute of Technology (13 papers) absent at the last edition,
  • University of Tokyo (10 papers) absent at the last edition,
  • University of Porto (9 papers) published 1 paper at the last edition,
  • University of Pisa (9 papers) absent at the last edition,
  • University of Illinois at Chicago (9 papers) absent at the last 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, 14.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.67% were posted by at least one author from the top 10 institutions publishing at the conference. Another 16.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 66.67% 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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