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IEEE

International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

Location: Hagenberg , Austria

Conference dates: 9/12/2022 - 9/15/2022

Research H-index
7

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 547 13 18 7

Call for Papers

List of Topics
SYNASC is organized within six tracks:

Symbolic Computation
computer algebra
symbolic analysis
symbolic combinatorics
symbolic techniques applied to numerics
hybrid symbolic and numeric algorithms
numerics and symbolics for geometry
programming with constraints, narrowing
applications of symbolic computation to artificial intelligence and vice-versa
Numerical Computing
iterative approximation of fixed points
solving systems of nonlinear equations
numerical and symbolic algorithms for differential equations
numerical and symbolic algorithms for optimization
parallel algorithms for numerical computing
scientific visualization and image processing
Logic and Programming
automatic reasoning
formal system verification
formal verification and synthesis
software quality assessment
static analysis
timing analysis
automated testing
Distributed Computing
modelling of parallel and distributed systems
parallel and distributed algorithms
architectures for parallel and distributed systems
applications for parallel and distributed systems
acceleration of AI or Big Data applications using distributed and parallel computing
networked intelligence and Internet of Things
Artificial Intelligence
knowledge discovery, representation, and management
automated reasoning, uncertain reasoning, and constraint strategies
recommender and expert systems
intelligent systems, agents, and networks
agent-based complex systems
AI-based systems for scientific computing
machine learning – including deep learning models and technologies
explainable and trustworthy AI
information retrieval, data mining, text mining and web mining
computational intelligence - including fuzzy, neural and evolutionary computing
AI applications: natural language processing, computer vision, signal processing, stock market, computational neuroscience, robotics, autonomous vehicles, medical diagnosis, cybersecurity, digital design, online education, algorithm invention and analysis
Theory of Computing
data structures and algorithms
combinatorial optimization
formal languages and combinatorics on words
graph-theoretic and combinatorial methods in computer science
algorithmic paradigms, including distributed, online, approximation, probabilistic, game-theoretic algorithms
computational complexity theory, including structural complexity, boolean complexity, communication complexity, average-case complexity, derandomization and property testing
logical approaches to complexity, including finite model theory
algorithmic and computational learning theory
aspects of computability theory, including computability in analysis and algorithmic information theory
proof complexity
computational social choice and game theory
new computational paradigms: CNN computing, quantum, holographic and other non-standard approaches to computability
randomized methods, random graphs, threshold phenomena and typical-case complexity
automata theory and other formal models, particularly in relation to formal verification methods such as model checking and runtime verification
applications of theory, including wireless and sensor networks, computational biology and computational economics
experimental algorithmics

Overview

The conference ranking showcased on this page presents a comprehensive list of scientific conferences in the field of Computer Science, meticulously curated to provide trusted insights for scholars, academics, and professionals. This ranking has been developed by Research.com, a foremost authority in science research spanning all major disciplines, including Computer Science. Since 2014, Research.com has established a robust reputation for delivering reliable and data-driven evaluations of scientific output and contributions.

Conference positions within the ranking are determined using a unique bibliometric score, an innovative metric devised by Research.com. This score is derived from a combination of the estimated h-index of conferences and the number of leading scientists who have presented at each event over the preceding three years. Such an approach ensures that the ranking reflects both the scholarly impact and the prestige associated with participation of distinguished experts.

The impact score values listed in this ranking were rigorously gathered as of 2024-11-27. The ranking process itself involved a comprehensive review of more than 2,742 scientific conferences, each selected after thorough evaluation and stringent criteria. This deep analysis encompassed over 148,739 scientific documents published within the last three years by a cohort of 13,184 eminent and highly respected scientists active in the domain of Computer Science.

For further information regarding the detailed process and metrics used to calculate the ranking scores, we invite you to consult 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 Symbolic and Numeric Algorithms for Scientific Computing (based on the number of publications) are:

  • Gabriel Ciobanu (13 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Dragos Teodor Gavrilut (10 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Viorel Negru (9 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Valentin Cristea (9 papers) absent at the last edition,
  • Danilo Ardagna (8 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 Symbolic and Numeric Algorithms for Scientific Computing (based on the number of publications) are:

  • West University of Timișoara (36 papers) published 13 papers at the last edition, 8 more than at the previous edition,
  • University of Bucharest (29 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Babeș-Bolyai University (28 papers) published 11 papers at the last edition, 5 more than at the previous edition,
  • Alexandru Ioan Cuza University (17 papers) published 8 papers at the last edition, 6 more than at the previous edition,
  • Johannes Kepler University of Linz (12 papers) published 1 paper at the last edition the same number as 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 2018 edition, 5.97% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 65.08% were posted by at least one author from the top 10 institutions publishing at the conference. Another 9.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.46% of all publications and 7.94% 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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