2026 IEEE International Conference on Big Data (IEEE BigData 2026) (BigData)

The ranking presented on this page lists the most prominent scientific conferences in the field of Computer Science. This ranking has been meticulously developed by Research.com, a leading authority in science research across various major disciplines, including Computer Science, and a trusted provider of scientific data and contributions since 2014.

Conference positions in this ranking are determined using a unique bibliometric score, innovatively created by Research.com. This score is computed based on the estimated h-index and the number of leading scientists who have contributed to each conference over the last three years. The Impact Score values included in the ranking were carefully gathered as of 2024-11-27, ensuring the data reflects the most recent advancements and activity within the field.

The ranking process involved the comprehensive examination of over 2,742 conferences, meticulously selected following an exhaustive review and rigorous analysis of more than 148,739 scientific documents published in the preceding three years. This analysis incorporated contributions from 13,184 leading and highly respected scientists specializing in Computer Science, further ensuring the reliability and academic rigor of the results.

For a detailed overview of the methodology employed to calculate the ranking scores and further insight into the selection and evaluation process, 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.

Top authors and change over time

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

• Rafal A. Angryk (16 papers) published 6 papers at the last edition the same number as at the previous edition,
• Xiaohua Hu (14 papers) published 4 papers at the last edition the same number as at the previous edition,
• Jiebo Luo (14 papers) published 4 papers at the last edition, 3 less than at the previous edition,
• Hui Li (14 papers) published 5 papers at the last edition, 2 more than at the previous edition,
• Philip S. Yu (14 papers) published 4 papers at the last edition, 2 less 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

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

• IBM (97 papers) published 38 papers at the last edition, 12 more than at the previous edition,
• Beijing University of Posts and Telecommunications (45 papers) published 11 papers at the last edition, 6 less than at the previous edition,
• San Jose State University (44 papers) published 17 papers at the last edition, 9 more than at the previous edition,
• University of Tokyo (40 papers) published 18 papers at the last edition, 10 more than at the previous edition,
• Oak Ridge National Laboratory (39 papers) published 9 papers at the last edition, 4 less 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 2017 edition, 13.59% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.30% were posted by at least one author from the top 10 institutions publishing at the conference. Another 6.19% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.05% of all publications and 68.45% 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.