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IEEE

INES 2027 — IEEE 31st International Conference on Intelligent Engineering Systems (INES)

Location: Corfu Holiday Palace, Kanoni, Corfu , Greece

Submission deadline: 4/15/2027

Conference dates: 9/22/2027 - 9/24/2027

Research H-index
5

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 984 8 10 3

Call for Papers

INES is an annual IEEE conference on intelligent engineering systems organised by Obuda University with the IEEE Hungary Section and the John von Neumann Computer Society. It invites original contributions on computational intelligence, fuzzy systems, robotics and control, machine learning, intelligent manufacturing, soft computing, cyber-physical systems. 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 ranking presents an authoritative assessment of scientific conferences within the field of Computer Science, developed to guide researchers, academics, and practitioners seeking validated benchmarks of conference impact and prestige. The ranking has been meticulously prepared by Research.com, one of the leading platforms for science research across all major academic disciplines. Since 2014, Research.com has provided trusted and comprehensive data on scientific contributions, building a solid reputation for accuracy and reliability in the scientific community.

Conference positions in this ranking are determined by a unique bibliometric score formulated by Research.com. This score is derived from a sophisticated calculation that incorporates the estimated h-index, as well as the number of leading scientists who have participated in each conference over the previous three years. By synthesizing these critical indicators, the methodology ensures a balanced, multi-faceted assessment of conference standing and impact within the Computer Science domain.

The Impact Score values represented in this ranking were compiled as of 2024-11-27, providing the most recent and relevant data for evaluating scientific conferences. The process underpinning this ranking involved the thorough evaluation of more than 2,742 conferences, chosen following a detailed and rigorous examination of over 148,739 scientific publications authored within the last three years by 13,184 renowned scientists recognized for their significant contributions to Computer Science.

This comprehensive and methodical approach underscores the credibility and depth of research that underpin this ranking. For a full explanation of our unique bibliometric scoring system and the comprehensive methodologies employed, we invite readers to 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 International Conference on Intelligent Engineering Systems (based on the number of publications) are:

  • Imre J. Rudas (13 papers) absent at the last edition,
  • Bogdan M. Wilamowski (12 papers) absent at the last edition,
  • Balázs Benyó (12 papers) absent at the last edition,
  • Peter Baranyi (11 papers) absent at the last edition,
  • Levente Kovács (11 papers) published 2 papers at the last edition the same number as 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Intelligent Engineering Systems (based on the number of publications) are:

  • Óbuda University (74 papers) published 10 papers at the last edition, 5 less than at the previous edition,
  • Budapest University of Technology and Economics (53 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Technical University of Košice (35 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • Széchenyi István University (22 papers) absent at the last edition,
  • Politehnica University of Timișoara (22 papers) published 4 papers at the last edition, 1 more 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, 9.62% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 55.32% were posted by at least one author from the top 10 institutions publishing at the conference. Another 6.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.77% of all publications and 25.53% 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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