World's Best Scientists 2026 revealed!
IEEE

Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Location: Porto , Portugal

Conference dates: 6/27/2023 - 6/30/2023

Research H-index
21

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 109 172 243 21

Call for Papers

Authors are invited to submit original papers on all topics within this broad scope. Example topical areas include but are not limited to the following:

Hardware (e.g., microprocessors, memory systems, systems on chip, I/O devices, storage systems,Trusted Execution Environments (TEEs), edge and mobile devices, data center infrastructure, hardware accelerators, emerging technologies, emerging paradigms like processing in memory & quantum computing)
Software (e.g., applications, middleware, distributed algorithms, operating systems, software security, dependable software design)
Networked systems and clouds (e.g., wireless networks, mobility, software-defined networking, edge computing, cloud computing/storage, networks on chip, network security)
Autonomous systems (e.g., self-driving vehicles, autonomous robots, assured autonomy, explainable decision making, acceptability, privacy issues)
Cyber-physical systems (e.g., embedded systems, real-time control of critical systems, internet of things, smart grid, automotive, aerospace, railway, medical systems)
Distributed ledgers/Blockchain (e.g., BFT/consensus algorithms, cryptocurrencies, decentralized storage, zero knowledge proofs)
AI/Machine Learning for resilient systems (e.g., robust, resilient, secure, and explainable AI/Machine Learning techniques; applications of AI/ML techniques for dependability and security, robustness issues in ML/AI systems)
Models and methodologies for programming, evaluating, verifying, and assessing robust (dependable and secure) systems (e.g., performance and dependability evaluation, analytical and numerical methods, simulation, experimentation, benchmarking, verification, field data analysis)
Emerging technologies and computing paradigms (e.g., robustness, security, dependability issues of emerging memory and storage systems, emerging computing paradigms like quantum computing, processing in memory/sensors/storage/network, 3-dimensional architectures, new hardware/software cooperative paradigms, emerging programming and system paradigms)

Overview

The scientific conference ranking presented on this page provides a comprehensive evaluation of leading conferences in the field of Engineering and Technology. This authoritative ranking has been meticulously prepared by Research.com, a prominent platform recognized for delivering trusted data and analysis on scientific contributions across all major research domains, including Engineering and Technology. Since 2014, Research.com has established a reputation for supporting the global research community with high-quality bibliometric information.

Positions within this ranking are determined based on an exclusive bibliometric score developed by Research.com. This unique metric incorporates both the estimated h-index and the number of leading scientists who have contributed to a given conference over the most recent three-year period. This approach ensures that the ranking reflects both the quality and the influence of the scientific activity at each event.

The current edition of the ranking features Impact Score values compiled as of November 27, 2024. The assessment process encompassed a thorough examination of more than 2,262 conferences, which were selected following a careful and rigorous review of over 26,934 scientific documents published in the last three years. This analysis was informed by the contributions of 9,385 leading and esteemed scientists in the area of Engineering and Technology, underscoring the depth and credibility of the evaluation process.

For those interested in understanding the detailed methodology and computational procedures underpinning the ranking, further information can be found 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 Dependable Systems and Networks (based on the number of publications) are:

  • Zbigniew Kalbarczyk (21 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Ravishankar K. Iyer (20 papers) published 2 papers at the last edition,
  • Karthik Pattabiraman (17 papers) published 1 paper at the last edition the same number as at the previous edition,
  • William H. Sanders (16 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Marco Vieira (15 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 Dependable Systems and Networks (based on the number of publications) are:

  • University of Illinois at Urbana–Champaign (71 papers) published 8 papers at the last edition, 2 more than at the previous edition,
  • IBM (45 papers) published 4 papers at the last edition the same number as at the previous edition,
  • University of Coimbra (34 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Carnegie Mellon University (31 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Purdue University (27 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 2019 edition, 3.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.67% were posted by at least one author from the top 10 institutions publishing at the conference. Another 5.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.11% of all publications and 56.67% 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 online degrees related to Computer Science can open up diverse career opportunities across various industries. For those interested in advanced data skills, pursuing one of the best masters in data analytics programs offers specialized knowledge to analyze complex datasets and drive decision-making. This can be invaluable in tech, finance, and marketing sectors.

For professionals aiming to reach the forefront of research, enrolling in a phd data science online program can provide cutting-edge expertise and leadership skills necessary for academic or high-level industry roles.

Those intrigued by the intersection of biology and technology may explore career options with a bioinformatics degree jobs track. This field leverages computational tools to solve biological problems, offering roles in healthcare, pharmaceuticals, and genetics.

Additionally, technology professionals interested in healthcare might consider online healthcare degrees that pay well. These programs provide pathways into medical and allied health careers that benefit from strong data and technology backgrounds.

Best Scientists who published in this Conference

Related Articles