World's Best Scientists 2026 revealed!
IEEE

12th IEEE International Conference on Intelligent Systems (IS)

Location: Varna , Bulgaria

Conference dates: 8/29/2024 - 8/31/2024

Research H-index
5

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 661 24 37 5

Call for Papers

Continuing the legacy of successful conferences such as IS’02, IS’04, IS’08, IS‘12, IS’16, IS’20 (held in Sofia and Varna, Bulgaria), IS’06, IS’10 (held in London, UK), IS’14, IS’22 (held in Warsaw, Poland), IS’18 (held in Funchal, Madeira Island, Portugal), the 12th IEEE International Conference on Intelligent Systems, IS’24, aims to bring together leading specialists in the expansive field of intelligent systems. This forum presents a unique opportunity for scientists from around the globe to share their ideas and achievements in the theory and practice of intelligent control, artificial intelligence, decision support systems, neural networks, soft computing, data mining and knowledge discovery, ontologies, machine learning, intelligent measurement, and other related topics. The conference aims to highlight contemporary intelligent systems as a concept that unifies theoretical research and applications in automation, information technologies, and measurement. All aspects of intelligent systems are of interest, including theory, algorithms, tools, applications, and more.

Overview

The scientific conference ranking featured on this page presents a comprehensive list of the leading conferences in the field of Computer Science. This ranking is the result of meticulous research and analysis carried out by Research.com, a preeminent platform recognized for providing trusted scientific data and insights across all major disciplines, including Computer Science, since 2014.

Each conference's position in this ranking is determined using a unique bibliometric score developed by Research.com. This proprietary score is calculated by considering the estimated h-index and the number of distinguished scientists who have participated in the conference over the last three years. All Impact Score values featured here were collected as of 2024-11-27, ensuring the ranking reflects the most recent and relevant academic contributions.

The process of compiling this ranking involved the detailed evaluation of over 2,742 conferences. These were rigorously selected following a thorough inspection of more than 148,739 scientific documents published in the past three years by 13,184 leading and highly respected scientists in Computer Science. This extensive methodology underscores the precision and depth of analysis employed to deliver the most reliable and authoritative rankings in the field.

For those interested in a more detailed account of the scoring methodology and the processes underpinning this ranking, comprehensive 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 IEEE International Conference on Intelligent Systems (based on the number of publications) are:

  • Krassimir T. Atanassov (18 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Alexander Gegov (10 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Evdokia Sotirova (9 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Vladimir Jotsov (8 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • David Sanders (8 papers) published 8 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 Intelligent Systems (based on the number of publications) are:

  • Bulgarian Academy of Sciences (71 papers) published 17 papers at the last edition, 3 less than at the previous edition,
  • Technical University of Sofia (18 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • University of Portsmouth (18 papers) published 14 papers at the last edition, 13 more than at the previous edition,
  • Polish Academy of Sciences (14 papers) absent at the last edition,
  • University of Westminster (13 papers) published 1 paper at the last edition, 1 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 2020 edition, 18.45% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 41.67% were posted by at least one author from the top 10 institutions publishing at the conference. Another 21.43% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.14% of all publications and 29.76% 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

Exploring a degree in computer science opens doors to various specialized fields. For those seeking flexibility and speed, the best online computer science degree programs offer accelerated paths that balance quality education with a fast track to graduation.

Data science has emerged as a critical field blending statistics, programming, and domain knowledge. Students looking for cost-effective options should consider the data science programs in the USA, which provide affordable routes to careers in analytics, business intelligence, and machine learning.

For those interested in cutting-edge technologies, pursuing a phd in ai online offers deep research opportunities and advanced expertise, positioning graduates for roles in innovative AI development, robotics, and academic work.

Cybersecurity remains a high-demand area with urgent workforce needs. Students aiming to quickly enter this vital industry can take advantage of the fastest way to get a cybersecurity degree online, which equips learners with essential skills to protect digital infrastructure and confront evolving cyber threats.

Best Scientists who published in this Conference

Related Articles

Recently Published Articles