International Conference on Computing Frontiers (CF)

Name: Computing Frontiers
Start: 2022-05-17
End: 2022-05-19
Location: Turin

Location: Turin , Italy

Submission deadline: 2/13/2022

Conference dates: 5/17/2022 - 5/19/2022

Research H-index

Official website

Ranking & Metrics

Discipline name	Position	Best Scientists	Publications	D-Index
Computer Science	307	56	69	11

Call for Papers

Topics of Interest
We seek original research contributions at the frontiers of a wide range of topics, including novel computational models and algorithms, new application paradigms, computer architecture (from embedded to HPC systems), computing hardware, memory technologies, networks, storage solutions, compilers, and environments.

Innovative Computing Approaches, Architectures, Accelerators, Algorithms, and Models
Approximate, analog, inexact, probabilistic computing
Neuromorphic, biologically-inspired computing, and hyperdimensional computing
Dataflow architectures, near-data, and in-memory processing
Quantum computing systems
Quantum algorithms and applications for current and near-term quantum devices
Quantum Programming models, runtime, compilers and microarchitecture
Quantum error correction and fault-tolerant quantum computation
Architectures and design methodologies for scalable quantum computing systems
Benchmarks, methods, and performance metrics to evaluate quantum computing systems
Technological Scaling Limits and Beyond
Limits: Defect- and variability-tolerant designs, graphene and other novel materials, nanoscale design, dark silicon
Extending past Moore's law: 3D-stacking, heterogeneous architectures and accelerators, chiplets, distributed and federated computing and their challenges
Efficient AI computing
Deep learning co-processors including architectures, efficient algorithms, chip design and hardware-software codesign, frameworks and programming models
Edge deep learning for IoT
Distributed AI computing for cloud data servers
Embedded, IoT, and Cyber-Physical Systems
Ultra-low power designs, energy scavenging
Physical security, attack detection and prevention
Reactive, real-time, scalable, reconfigurable, and self-aware systems
Sensor networks, IoT, and architectural innovation for wearable computing
Large-Scale System Design and Networking
Large-scale homogeneous/heterogeneous architectures and networking
System-balance and CPU-offloading
Power- and energy-management for clouds, datacenters, and exascale systems
Big Data analytics and exascale data management
System Software, Compiler Technologies, and Programming Languages
Technologies that push the limits of operating systems, virtualization, and container technologies
Large scale frameworks for distributed computing and communication
Resource and job management, scheduling and workflow systems for managing large-scale heterogeneous systems
Compiler technologies: hardware/software integrated solutions, high-level synthesis
Tools for analyzing and managing performance at large scale
Novel programming approaches
Fault Tolerance and Resilience
Solutions for ultra-large and safety-critical systems (e.g., infrastructure, airlines)
Hardware and software approaches in adverse environments such as space
Security
Methods, system support, and hardware for protecting against malicious code
Real-time implementations of security algorithms and protocols
Quantum and post-quantum cryptography
Computers and Society
Artificial Intelligence (AI) ethics and AI environmental impact
Education, health, cost/energy-efficient design, smart cities, emerging markets, and interdisciplinary applications

Overview

This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, offering valuable insights into their impact and scientific contribution. Developed by Research.com, a leading and trusted platform for science research since 2014, this list serves as a reliable resource for researchers, academics, and professionals seeking authoritative information in Computer Science.

The ranking methodology is underpinned by a unique bibliometric score designed by Research.com’s expert analytical team. This score integrates the estimated h-index of conferences with the number of leading scientists who have participated in the conference within the previous three years, resulting in a balanced and robust measure of scientific influence. The current edition of the ranking features up-to-date Impact Score values collected as of 2024-11-27.

Creating this ranking involved a highly rigorous and detailed process. Our analysis included over 2,742 conferences, meticulously selected following thorough examination of more than 148,739 scientific documents published over the last three years. This body of work was contributed by 13,184 distinguished scientists recognized for their expertise and leadership in Computer Science research.

These efforts reflect Research.com’s commitment to promoting transparent, credible, and accurate metrics in the scientific community. For a comprehensive overview of the detailed methodology used to compute the ranking scores, please 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.

Top authors and change over time

The top authors publishing at Computing Frontiers (based on the number of publications) are:

Luca Benini (12 papers) published 2 papers at the last edition, 3 less than at the previous edition,
Osman Unsal (7 papers) absent at the last edition,
Pedro Trancoso (7 papers) published 1 paper at the last edition,
Dimitrios S. Nikolopoulos (6 papers) absent at the last edition,
Luigi Raffo (6 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Computing Frontiers (based on the number of publications) are:

IBM (46 papers) published 5 papers at the last edition, 2 more than at the previous edition,
Intel (20 papers) published 2 papers at the last edition the same number as at the previous edition,
Chinese Academy of Sciences (18 papers) published 2 papers at the last edition, 3 less than at the previous edition,
Polytechnic University of Catalonia (16 papers) published 1 paper at the last edition the same number as at the previous edition,
Delft University of Technology (13 papers) published 1 paper at the last edition, 3 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 2017 edition, 4.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.75% were posted by at least one author from the top 10 institutions publishing at the conference. Another 6.35% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.57% of all publications and 33.33% 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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