Big Data and Cognitive Computing

Scope & Guideline

Pioneering Research in Cognitive Computing and Beyond.

Introduction

Immerse yourself in the scholarly insights of Big Data and Cognitive Computing with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN-
PublisherMDPI
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationBIG DATA COGN COMPUT / Big Data Cogn. Comput.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND

Aims and Scopes

The journal 'Big Data and Cognitive Computing' focuses on the intersection of advanced computing technologies and big data analytics, emphasizing innovative methodologies and applications across various domains.
  1. Big Data Analytics:
    The journal extensively covers methodologies for processing and analyzing large datasets, emphasizing techniques that enhance data extraction, management, and interpretation.
  2. Artificial Intelligence Applications:
    AI methodologies, including machine learning and deep learning, are a central theme, particularly their applications in diverse fields such as healthcare, finance, and social media.
  3. Cognitive Computing:
    Research that explores the use of cognitive computing systems to mimic human thought processes in analyzing and interpreting data is a key focus area.
  4. Interdisciplinary Approaches:
    The journal encourages interdisciplinary research that integrates big data with fields such as healthcare, environmental science, and urban planning, showcasing innovative solutions to complex problems.
  5. Security and Privacy:
    There is a consistent emphasis on the security and privacy challenges posed by big data, particularly in the context of autonomous systems and personal data handling.
  6. Methodological Innovations:
    The journal highlights novel algorithms, frameworks, and models that advance the state of the art in big data processing and analysis.
The journal has identified several trending and emerging themes that reflect current technological advancements and societal needs, highlighting the pivotal role of big data and cognitive computing in addressing contemporary challenges.
  1. Federated Learning and Privacy-Preserving Techniques:
    Recent publications emphasize federated learning approaches that enhance data privacy while allowing collaborative learning across distributed datasets.
  2. Explainable AI (XAI):
    The growing need for transparency in AI systems has led to increased research on explainable AI, focusing on methodologies that make AI decisions understandable to users.
  3. Healthcare Innovations:
    There is a surge in research applying big data and AI techniques to healthcare, particularly in predictive analytics for disease detection and management.
  4. Environmental Monitoring and Sustainability:
    Emerging studies focus on leveraging big data for environmental monitoring and sustainability efforts, addressing climate change and resource management challenges.
  5. Real-Time Data Processing and IoT Integration:
    The integration of IoT with big data analytics for real-time data processing and decision-making is gaining traction, reflecting the increasing importance of smart technologies.
  6. Natural Language Processing (NLP):
    NLP applications are rapidly emerging, particularly in sentiment analysis and social media monitoring, as researchers explore the implications of language data in various contexts.

Declining or Waning

While the journal covers a broad spectrum of topics, certain themes have shown a decline in prominence over recent years, reflecting shifts in research priorities and emerging technologies.
  1. Traditional Data Management Techniques:
    There has been a noticeable decrease in publications focusing on conventional data management strategies, as newer methodologies and technologies gain traction.
  2. General Surveys and Reviews:
    The number of general survey articles has declined, indicating a shift towards more targeted, application-specific research rather than broad overviews.
  3. Basic Statistical Methods:
    Basic statistical analysis papers are becoming less frequent, as more advanced computational methods dominate the research landscape.
  4. Static Data Analysis:
    Research focusing on static data analysis techniques is waning, with a growing preference for dynamic and real-time analytics that address current challenges.
  5. Single-Domain Applications:
    There is a decline in studies that focus solely on single-domain applications, as interdisciplinary research that incorporates multiple fields is increasingly favored.

Similar Journals

Baltic Journal of Modern Computing

Elevating the discourse in computer science research.
Publisher: UNIV LATVIAISSN: 2255-8942Frequency: 4 issues/year

Baltic Journal of Modern Computing is a prominent academic journal dedicated to advancing the field of computer science through innovative research and insightful analyses. Established under the auspices of UNIV LATVIA, this open access journal has been pioneering accessible scholarly communication since 2008, ensuring that research findings are readily available to a global audience. With an ISSN of 2255-8942 and an E-ISSN of 2255-8950, it covers a broad spectrum of topics in computer science, specifically highlighted in its 2023 classification as Q3 within the miscellaneous category. The journal is indexed in Scopus, where it currently ranks 153 out of 232 in the general computer science category, positioning it in the 34th percentile, thereby reflecting its growing importance within the academic community. Based in the vibrant city of Riga, Latvia, at RAINIA BULVARIS 19, RIGA LV-1586, LATVIA, the Baltic Journal of Modern Computing continues to attract contributions from researchers and professionals eager to disseminate their findings and engage with a diverse readership devoted to contemporary computing challenges and solutions.

Vietnam Journal of Computer Science

Fostering collaboration for groundbreaking discoveries in AI and beyond.
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 2196-8888Frequency: 4 issues/year

Vietnam Journal of Computer Science, published by World Scientific Publishing Co Pte Ltd, serves as a prominent platform for researchers and professionals in the rapidly evolving field of computer science. Launched as an Open Access journal in 2013, it aims to disseminate high-quality research across various subfields, including Artificial Intelligence, Computational Theory and Mathematics, Computer Vision, and Information Systems. With its ISSN 2196-8888 and E-ISSN 2196-8896, the journal provides valuable insights and contributes to the growing body of knowledge in computer science, particularly in Southeast Asia. Despite its relatively recent establishment, the journal has achieved significant rankings, including Q3 status in multiple categories and notable visibility in Scopus metrics, evidencing its commitment to fostering innovative research. This journal is essential for those looking to stay at the forefront of computational advancements and applications, particularly in Vietnam and beyond, facilitating an engaging dialogue among scholars and industry professionals.

International Journal of Innovative Computing Information and Control

Empowering research in computing and control.
Publisher: ICIC INTISSN: 1349-4198Frequency: 6 issues/year

International Journal of Innovative Computing Information and Control, published by ICIC INT, is a prominent platform dedicated to advancing the fields of computational theory, information systems, software engineering, and theoretical computer science. Since its inception in 2007, the journal has garnered attention for its rigorous peer-reviewed research and has established itself within the academic community, attaining a notable Q3 quartile ranking across its categories as of 2023. With an impressive track record of convergence from 2007 to 2024, this journal offers a wealth of insights and innovations for researchers and professionals striving to push the boundaries of technology and computing. While it operates under a subscription model, the journal's commitment to enhancing knowledge in the ever-evolving landscape of computational sciences makes it an essential resource for academics, providing timely articles that address contemporary challenges in the field.

Jordanian Journal of Computers and Information Technology

Exploring Frontiers of Knowledge in Computer Science
Publisher: Princess Sumaya Univ & SRSFISSN: 2413-9351Frequency: 4 issues/year

Jordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING

Transforming Ideas into Innovative Solutions.
Publisher: INST INFORMATION SCIENCEISSN: 1016-2364Frequency: 6 issues/year

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, published by the Institute of Information Science in Taiwan, is a pivotal platform for the dissemination of innovative research in the multidisciplinary fields of information science and engineering. Established in 1993, the journal primarily focuses on areas such as library and information sciences, human-computer interaction, hardware and architecture, as well as computational theory and software development. Despite holding a current Q4 ranking in several categories, the journal demonstrates significant potential for growth, particularly in computation and software systems, as evidenced by its Scopus rankings and percentiles. Researchers, professionals, and students will find this journal to be an invaluable resource to stay abreast of evolving theories and technologies in information science. The journal is accessible through traditional subscription models, fostering a broad academic outreach. It serves to enhance knowledge-sharing and collaboration within this dynamic and ever-evolving field.

International Journal of e-Collaboration

Transforming Ideas into Collaborative Action
Publisher: IGI GLOBALISSN: 1548-3673Frequency: 4 issues/year

International Journal of e-Collaboration (ISSN: 1548-3673, E-ISSN: 1548-3681), published by IGI Global, is an influential academic journal dedicated to exploring the dynamic field of collaboration facilitated by electronic means. With a focus spanning from 2005 to 2024, this journal addresses critical aspects of e-collaboration within the realms of Computer Networks and Communications and Computer Science Applications, which are reflected in its current Scopus rankings. Though categorized in the lower quartiles (Q4) for both areas as of 2023, the journal provides a vital platform for researchers and professionals to disseminate and discuss innovative ideas and methodologies, contributing meaningfully to ongoing dialogues in these fields. As the demand for effective electronic collaboration continues to rise in both academia and industry, the International Journal of e-Collaboration remains a significant resource for those seeking to enhance their understanding and application of collaborative technologies. While not an open access publication, it offers a wealth of knowledge and insights that are crucial for academics, practitioners, and students alike in fostering successful collaborative environments.

Cognitive Computation

Exploring the Synergy between Mind and Machine
Publisher: SPRINGERISSN: 1866-9956Frequency: 4 issues/year

Cognitive Computation is a prominent journal published by Springer, focusing on interdisciplinary research at the intersection of cognitive sciences and computational methods. With an ISSN of 1866-9956 and an E-ISSN of 1866-9964, this journal has established itself as a leading resource for novel advancements and methodologies from 2009 through 2024. It is categorized in the top quartile (Q1) for 2023 in influential fields such as Cognitive Neuroscience, Computer Science Applications, and Computer Vision and Pattern Recognition. With impressive Scopus rankings including a 14th position in Cognitive Neuroscience and a percentile rank of 88th, the journal serves as a crucial platform for researchers and professionals eager to explore the cognitive processes underlying computational techniques. Although it does not operate under an open access model, the richness of research published within its pages contributes significantly to the academic discourse in these rapidly evolving domains, making it an essential read for scholars and practitioners alike.

COMMUNICATIONS OF THE ACM

Advancing the Frontiers of Computer Science
Publisher: ASSOC COMPUTING MACHINERYISSN: 0001-0782Frequency: 12 issues/year

COMMUNICATIONS OF THE ACM, an esteemed journal published by the Association for Computing Machinery, has been at the forefront of the field of computer science since its inception in 1958. With an impressive impact factor and recognized as a top-tier Q1 journal in its category, it is currently ranked 10th out of 232 journals in the general computer science category according to Scopus rankings. This journal provides a vital platform for researchers, professionals, and students to disseminate innovative ideas and advancements across various domains of computing. Although it does not offer open access, the journal remains accessible through institutional subscriptions, furthering its reach and influence within the academic community. As researchers continue to explore the rapid evolution of technology, COMMUNICATIONS OF THE ACM serves as an essential resource for high-quality research, fostering knowledge advancements and collaborative discourse within the ever-expanding world of computer science.

Big Data Mining and Analytics

Advancing Knowledge Through Data Innovation
Publisher: TSINGHUA UNIV PRESSISSN: Frequency: 4 issues/year

Big Data Mining and Analytics, published by TSINGHUA UNIVERSITY PRESS, stands at the forefront of interdisciplinary research in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive Q1 ranking in multiple categories as of 2023, this journal serves as a critical platform for researchers and professionals eager to explore innovative techniques and methodologies related to big data analytics. Since its transition to Open Access in 2018, Big Data Mining and Analytics has aimed to increase the visibility and accessibility of its cutting-edge research, making permanent strides in the global academic landscape. Housed in Beijing, China, and actively embracing the converged years from 2018 to 2024, the journal aims to cultivate a rich discourse on emerging trends and applications, ensuring its relevance in a rapidly evolving technological environment. Join a vibrant community of scholars dedicated to advancing the frontiers of knowledge in big data.

Frontiers in Big Data

Empowering Innovation in Data Science
Publisher: FRONTIERS MEDIA SAISSN: Frequency: 1 issue/year

Frontiers in Big Data, published by Frontiers Media SA in Switzerland, is a leading open access journal that has established itself as a vital resource for scholars and practitioners in the expanding realms of artificial intelligence, computer science, and information systems since its inception in 2018. With an impressive impact factor reflected in its Q2 rankings across multiple categories, including Artificial Intelligence, Computer Science (Miscellaneous), and Information Systems, this journal serves as a pivotal platform for disseminating groundbreaking research and promoting interdisciplinary collaboration. The journal's commitment to open access ensures that high-quality research is readily accessible to a global audience, fostering the exchange of innovative ideas and advancements in big data technologies. By creating an inclusive space for diverse perspectives, Frontiers in Big Data aims to bridge the gap between theoretical research and practical application, making it an essential read for anyone invested in the future of data science.