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IEEE

PIC 2024 — IEEE International Conference on Progress in Informatics and Computing (PIC)

Location: Shanghai , China

Conference dates: 12/20/2024 - 12/22/2024

Research H-index
3

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 910 15 13 3

Call for Papers

PIC is an IEEE conference series in China (since 2010) on progress in informatics and computing, sponsored by the IEEE Beijing Section. It invites original contributions on computer science, artificial intelligence, big data computing, software technology, computer networks, image processing, information security. Submissions may take the form of full research papers, extended abstracts and poster presentations reporting theoretical, computational and experimental work, as well as industrial case studies and applications. The meeting brings together researchers, engineers, industry practitioners and students to exchange recent results and discuss emerging directions in the field. Accepted papers are published in the conference proceedings and submitted to IEEE Xplore.

Overview

This comprehensive ranking highlights the most influential scientific conferences in the field of Computer Science. Prepared by Research.com, a leading platform in science research across all major disciplines since 2014, the ranking provides trusted and data-driven insights derived from years of in-depth analysis of scientific contributions.

Each conference's position in this ranking is determined through a unique bibliometric score developed by Research.com. This metric combines the estimated h-index of the conference with the number of leading scientists who have participated in it over the past three years. The result is a robust measurement of both the scientific impact and prestige of each event.

For the 2024 update, Impact Score values were collected as of 2024-11-27. The methodology behind the ranking is rigorous and thorough: more than 2,742 conferences were considered, selected only after comprehensive inspection and critical evaluation. The analysis reviewed over 148,739 scientific documents published within the last three years by 13,184 prominent and respected scientists specializing in Computer Science.

This meticulous process ensures that the ranking accurately reflects the landscape of leading conferences and recognizes those that drive forward the frontiers of research in Computer Science. For a detailed breakdown of the methodology used to compute the ranking scores, please visit 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 Progress in Informatics and Computing (based on the number of publications) are:

  • Bin Sheng (4 papers) published 4 papers at the last edition,
  • Ping Li (4 papers) published 4 papers at the last edition,
  • Jie Ren (4 papers) published 4 papers at the last edition,
  • Anum Masood (3 papers) published 3 papers at the last edition,
  • Saba Ghazanfar Ali (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 IEEE International Conference on Progress in Informatics and Computing (based on the number of publications) are:

  • Shanghai Jiao Tong University (14 papers) published 14 papers at the last edition,
  • Nanjing University of Science and Technology (11 papers) published 11 papers at the last edition,
  • Nanjing University of Posts and Telecommunications (5 papers) published 5 papers at the last edition,
  • Hohai University (4 papers) published 4 papers at the last edition,
  • Shanghai University of Sport (4 papers) published 4 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 2018 edition, 1.27% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 57.69% 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 21.79% of all publications and 3.85% 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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