International Journal of Unconventional Computing

Scope & Guideline

Redefining Computational Boundaries for Tomorrow's Science

Introduction

Delve into the academic richness of International Journal of Unconventional Computing with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1548-7199
PublisherOLD CITY PUBLISHING INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2008 to 2024
AbbreviationINT J UNCONV COMPUT / Int. J. Unconv. Comput.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address628 NORTH 2ND ST, PHILADELPHIA, PA 19123

Aims and Scopes

The International Journal of Unconventional Computing primarily focuses on innovative and interdisciplinary approaches to computing that transcend traditional methods. The journal emphasizes the exploration of unconventional paradigms, integrating concepts from various scientific fields to develop novel computational models and systems. Here are the core areas of the journal's focus:
  1. Unconventional Computing Paradigms:
    Research on non-standard computing models, including quantum computing, cellular automata, and reservoir computing, which challenge classical computation theories.
  2. Natural Computing and Biomimetic Systems:
    Investigations into natural processes and biological systems as inspirations for computing, including studies on fungal networks and biological sensors.
  3. Complex Systems and Complexity Science:
    Exploration of complexity in computational systems, including the role of natural computing in complexity science and the dynamics of complex networks.
  4. Neuromorphic and Spiking Neural Networks:
    Development and application of neuromorphic computing systems that mimic biological neural networks, focusing on spiking neural P systems and their applications in various domains.
  5. Interdisciplinary Applications:
    Utilization of unconventional computing approaches in diverse fields such as environmental monitoring, healthcare diagnostics, and artificial creativity, highlighting the applicability of theoretical models.
The journal has shown a dynamic evolution in its thematic focus, particularly towards emerging and trending areas that reflect the latest advancements in computing and technology. These themes highlight the journal's commitment to staying at the forefront of unconventional computing research. Here are the notable emerging themes:
  1. Quantum Computing Innovations:
    Recent publications have increasingly focused on quantum computing, with studies on quantum algorithms and entanglement, indicating a growing interest in harnessing quantum mechanics for computational purposes.
  2. Biologically-Inspired Computing:
    The exploration of biosensors and biomimetic systems, such as fungal environmental sensors, is on the rise, showcasing a trend towards integrating biological principles into computing methodologies.
  3. Reservoir Computing Advances:
    Research on reservoir computing, particularly with innovative materials like magnetic thin films, is gaining prominence, reflecting a shift towards new implementations of this computational model.
  4. Artificial Creativity and Neural Dynamics:
    There is a notable trend towards exploring artificial creativity through nonlinear dynamics and neuromorphic systems, emphasizing the intersection of art and science in computational research.
  5. Complexity and Systems Dynamics:
    Studies focusing on the dynamics of complex systems, including the role of criticality in neuronal networks and evolutionary algorithms, are increasingly prevalent, highlighting the journal’s commitment to understanding complex interactions.

Declining or Waning

While the journal continues to thrive in several key areas, some themes have shown signs of decline or reduced prominence in recent publications. This shift may indicate a transition in research focus or the saturation of certain topics. Here are the themes that appear to be waning:
  1. Traditional Algorithmic Approaches:
    There is a noticeable decrease in papers focusing on conventional algorithmic methods, as the journal increasingly favors innovative and unconventional computational techniques.
  2. Single-Domain Studies:
    Research that solely addresses a single domain without interdisciplinary connections is becoming less common, as the journal emphasizes cross-disciplinary approaches.
  3. Static Computational Models:
    The exploration of static or non-dynamic models is declining, with a shift towards more dynamic, adaptable systems that reflect real-world complexities.
  4. Classical Logic Gate Applications:
    Applications of traditional logic gates are appearing less frequently, as newer methods and models, such as threshold logic and memristive systems, gain traction.

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