World's Best Scientists 2026 revealed!
IEEE

International Conference on Systems, Signals and Image Processing (IWSSIP)

Location: Sofia , Bulgaria

Submission deadline: 3/31/2022

Conference dates: 6/1/2022 - 6/3/2022

Research H-index
4

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 785 12 25 4

Call for Papers

The program includes keynote presented by eminent experts in the field, peer reviewed papers and invited and special sessions about but no limited to the following topics:

Signal Processing
Image and Video Processing
Speech and Audio Processing
Multimedia
Human Machine Interface
Machine Learning
Security
Networks
Wireless Communications
Modern ICT in e-learning

Overview

The ranking presented on this page provides a comprehensive evaluation of scientific conferences within the field of Computer Science. Developed by Research.com, a trusted authority in science research since 2014, this ranking leverages years of experience in delivering reliable data on scientific contributions across a diverse array of research domains, including Computer Science.

The positioning of conferences in this ranking is determined by a unique bibliometric score devised exclusively by Research.com. This score is calculated through a thorough assessment that incorporates the estimated h-index as well as the number of leading scientists who have contributed to each conference over the preceding three years. Such an approach ensures a nuanced and balanced evaluation of the scientific impact and prestige associated with each event.

The impact scores utilized in this ranking were collected as of 2024-11-27, providing users with the most recent and relevant data available. The methodology behind this ranking employed a rigorous analysis of more than 2,742 conferences, following an extensive review process of over 148,739 scientific documents published during the last three years. This review was conducted by 13,184 distinguished and highly-respected scientists, ensuring that only the most influential and significant conferences in Computer Science are represented.

The depth and complexity of the evaluation process highlight the dedication of subject matter experts to uphold the highest standards of academic rigor and data integrity. For a detailed explanation of the methodology used to compute ranking scores, 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.

The top authors publishing at International Conference on Systems, Signals and Image Processing (based on the number of publications) are:

  • Aura Conci (20 papers) absent at the last edition,
  • Paul Dan Cristea (15 papers) absent at the last edition,
  • Sonja Grgic (14 papers) absent at the last edition,
  • Mislav Grgic (14 papers) absent at the last edition,
  • Marek Domanski (12 papers) published 4 papers at the last edition, 3 more 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Systems, Signals and Image Processing (based on the number of publications) are:

  • Slovak University of Technology in Bratislava (41 papers) absent at the last edition,
  • University of Zagreb (38 papers) absent at the last edition,
  • University of Maribor (33 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Brno University of Technology (25 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Poznań University of Technology (25 papers) published 9 papers at the last edition, 5 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, 7.27% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.41% were posted by at least one author from the top 10 institutions publishing at the conference. Another 3.92% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.65% of all publications and 49.02% 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

For students interested in expanding their expertise beyond traditional computer science, numerous online programs offer specialized degrees. Pursuing a data science master online can unlock opportunities in big data analysis, machine learning, and predictive modeling, all critical areas in today’s tech landscape.

Those drawn to the intersection of technology and design might consider a ux degree. This field focuses on creating seamless user experiences, blending technical skills with creativity—a highly sought-after combination in software and app development.

Emerging technologies such as blockchain, cryptocurrency, and fintech have spurred the demand for expert knowledge. An online blockchain degree online equips students with the tools to innovate in secure digital transactions and decentralized applications.

Additionally, an what jobs can you get with an ai degree guide reveals a variety of career paths, including AI development, robotics, and natural language processing. These fields are at the forefront of technological advancement and offer strong growth potential.

Best Scientists who published in this Conference

Related Articles

Recently Published Articles