World's Best Scientists 2026 revealed!
IEEE

ICSC 2027 — 21st IEEE International Conference on Semantic Computing (ICSC)

Location: Laguna Hills, California (and virtual) , United States

Submission deadline: 10/10/2026

Conference dates: 2/1/2027 - 2/3/2027

Research H-index
9

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 464 32 55 7

Call for Papers

ICSC is the IEEE Computer Society conference on semantic computing, bridging machine learning with classic AI such as search, reasoning and planning. It invites original contributions on semantic computing, knowledge graphs, natural language understanding, semantic web, large language models, reasoning and planning, multimedia semantics. 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 presents the leading scientific conferences within the field of Computer Science, meticulously curated by Research.com—a premier platform recognized for delivering trusted data on scientific contributions since 2014 across all major areas, including Computer Science.

The ranking positions are assigned based on a unique bibliometric score developed by Research.com. This score is calculated using two key factors: the estimated h-index and the number of prominent scientists who have participated in the conference over the preceding three years. This dual approach ensures the recognition of both the consistent scientific impact of the conferences and the quality of their participants.

Impact Score values featured in this ranking were compiled as of 2024-11-27, ensuring the information reflects the most recent and relevant contributions in the field.

The rigorous ranking process entailed the review of over 2,742 conferences, selected only after a detailed inspection and thorough analysis of more than 148,739 scientific documents published within the last three years. These documents were authored by 13,184 distinguished and influential scientists in the discipline, underscoring the depth and credibility of this analysis.

For those seeking greater insight into the methodology that underpins the calculation of these ranking scores, further information 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 International Conference on Semantic Computing (based on the number of publications) are:

  • Ahmed El Hajjaji (7 papers) absent at the last edition,
  • Jérôme Bosche (7 papers) absent at the last edition,
  • Kedi Huang (7 papers) absent at the last edition,
  • Chen Guo (5 papers) absent at the last edition,
  • T. Kagawa (4 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 International Conference on Semantic Computing (based on the number of publications) are:

  • National University of Defense Technology (26 papers) absent at the last edition,
  • Beihang University (21 papers) absent at the last edition,
  • Dalian Maritime University (11 papers) absent at the last edition,
  • Harbin Institute of Technology (8 papers) absent at the last edition,
  • Naval University of Engineering (8 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 2019 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% 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 100.00% 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

Pursuing a career in Computer Science opens diverse pathways, with many students exploring specialized online degrees tailored to today’s evolving tech landscape. For those eager to enter the workforce quickly, an accelerated bachelor's degree computer science online offers an efficient route, combining rigorous training with flexible schedules.

Data Science is a rapidly growing field bridging statistics, programming, and domain expertise. Many institutions now offer an affordable data science degree, making it accessible for students aiming to work in big data analysis or AI-driven industries without breaking the bank.

For advanced learners, an online phd in artificial intelligence usa provides deep research opportunities. This path is ideal for those interested in pushing technological boundaries or pursuing careers in academia and high-level R&D.

Cybersecurity remains a critical field for protecting information systems. Opting for a cyber security fast track program allows students to quickly gain the skills necessary to combat growing digital threats and meet employer demand.

By exploring these options, students can align their education with their career goals in a flexible and cost-effective way, leveraging some of the best online programs the USA has to offer.

Best Scientists who published in this Conference

Related Articles

Recently Published Articles