World's Best Scientists 2026 revealed!
IEEE

IEEE International Conference on Big Data and Smart Computing (BigComp)

Location: Jeju , Korea

Submission deadline: 9/30/2022

Conference dates: 2/13/2023 - 2/16/2023

Research H-index
9

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 452 29 52 8

Call for Papers

We invite the submission of original research contributions in the following areas, but also welcome any original contributions that may cross the boundaries among areas or point in other novel directions. In addition, BigComp 2023 encourages submissions about products, practices, and services in industry:

• Big data analytics and social media

• Big data applications / big data as a service

• Big data ecosystem

• Bioinformatics, multimedia, smartphones, etc.

• Cloud and grid computing for big data

• Crowdsourcing and human-in-the-loop

• Data mining and data science

• Data and information quality

• Disaster analysis

• Infrastructure and platform for big data and smart computing

• Knowledge graph, graph data management and mining

• Machine learning and AI for big data

• Machine learning and AI theory and fundamentals

• Mobile communications and smart location-based services

• Recommender systems

• Search/retrieval and generation of big data

• Security and privacy for big data

• Smart computing models, tools, and devices

• Techniques, models and algorithms for big data

• Tools and systems for big data

• Understanding multi-modal data

Overview

This comprehensive ranking presents a list of the most prominent scientific conferences in the field of Computer Science. The ranking has been meticulously prepared by Research.com, a leading authority in science research, renowned for providing trusted, data-driven insights into scientific contributions across all major academic disciplines, including Computer Science, since 2014.

Conference positions within this list are determined according to a unique bibliometric score developed by Research.com. This score is calculated using a combination of the estimated h-index and the number of leading scientists who have participated in each conference over the past three years. This approach ensures that the ranking reflects both the scientific impact and the caliber of contributors associated with each event.

The Impact Score values represented in this ranking were collected as of 2024-11-27, reflecting the most up-to-date metrics available. The ranking process involved an in-depth analysis of more than 2,742 conferences, each selected following detailed scrutiny and rigorous evaluation. The underlying review encompassed over 148,739 scientific documents published within the last three years, originating from 13,184 leading and esteemed scientists in Computer Science.

This exhaustive approach underscores the complexity and depth of analysis conducted by dedicated experts to assure the credibility and authority of the final ranking. For a thorough explanation of the process and underlying indicators used in computing the ranking scores, please refer to 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 Big Data and Smart Computing (based on the number of publications) are:

  • Ho-Jin Choi (5 papers) published 5 papers at the last edition,
  • Yuya Sasaki (4 papers) published 4 papers at the last edition,
  • Makoto Onizuka (4 papers) published 4 papers at the last edition,
  • Hiroyuki Kato (3 papers) published 3 papers at the last edition,
  • Tetsuo Kinoshita (3 papers) published 3 papers 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 International Conference on Big Data and Smart Computing (based on the number of publications) are:

  • KAIST (6 papers) published 6 papers at the last edition,
  • University of Tsukuba (6 papers) published 6 papers at the last edition,
  • National Institute of Informatics (6 papers) published 6 papers at the last edition,
  • Konkuk University (5 papers) published 5 papers at the last edition,
  • Nagoya University (5 papers) published 5 papers 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 2019 edition, 4.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 36.52% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.65% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 32.17% of all publications and 15.65% 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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