International Journal of Data Mining and Bioinformatics

Scope & Guideline

Unraveling Complexities with Data-Driven Biological Research.

Introduction

Delve into the academic richness of International Journal of Data Mining and Bioinformatics 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
ISSN1748-5673
PublisherINDERSCIENCE ENTERPRISES LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2006 to 2024
AbbreviationINT J DATA MIN BIOIN / Int. J. Data Min. Bioinform.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND

Aims and Scopes

The International Journal of Data Mining and Bioinformatics focuses on the intersection of data mining techniques and bioinformatics, providing a platform for innovative research that applies computational methodologies to biological data. The journal aims to advance the understanding and application of data mining in various fields, particularly in health, finance, and resource management.
  1. Data Mining Techniques and Applications:
    The journal extensively covers a variety of data mining methods and their applications across different domains, emphasizing the use of artificial intelligence and machine learning in extracting valuable insights from large datasets.
  2. Bioinformatics Innovations:
    It focuses on advancements in bioinformatics, exploring computational approaches to analyze biological data, such as genomics, proteomics, and pharmacology, to enhance understanding of biological processes and disease mechanisms.
  3. Interdisciplinary Research:
    The journal promotes interdisciplinary research that integrates data science with fields like healthcare, environmental science, and economics, showcasing how data-driven approaches can address complex real-world problems.
  4. Emerging Technologies in Data Science:
    The journal highlights the role of emerging technologies, such as blockchain, edge computing, and IoT, in transforming data management and analysis, thereby improving efficiency and security in various applications.
  5. Educational and Organizational Applications:
    It also examines the application of data mining in educational settings and organizational decision-making, focusing on optimizing processes and enhancing learning experiences through data insights.
The journal has shown a dynamic evolution in its focus areas, highlighting several emerging themes that are gaining traction in recent years. These trends reflect the ongoing advancements in technology and the growing need for innovative solutions in various fields.
  1. Artificial Intelligence and Machine Learning:
    There is a significant increase in research applying AI and machine learning techniques to various domains, particularly in healthcare and finance, indicating a growing reliance on these technologies for data analysis and decision-making.
  2. Big Data Analytics:
    The emphasis on big data analytics has risen, with numerous studies dedicated to leveraging large datasets for insights in areas such as health security, disaster management, and consumer behavior.
  3. Digital Economy Applications:
    Research exploring the implications of the digital economy on business processes, such as e-commerce and financial management, is emerging as a key focus, reflecting the transformative impact of digital technologies.
  4. Integration of IoT and Data Mining:
    There is a growing trend in integrating IoT with data mining techniques, particularly for optimizing logistics and supply chain management, showcasing the importance of real-time data analysis.
  5. Network Pharmacology and Drug Development:
    The exploration of network pharmacology in drug discovery and disease treatment is becoming increasingly relevant, highlighting its potential to uncover complex biological interactions and therapeutic targets.

Declining or Waning

While the journal has seen a broad range of topics, certain themes appear to be diminishing in frequency or relevance. This decline may reflect shifts in research focus or advancements in technology that render previous methodologies less prominent.
  1. Traditional Statistical Methods:
    There seems to be a decline in the publication of papers focusing solely on traditional statistical methods for data analysis. As machine learning and AI techniques gain traction, the reliance on conventional statistics is waning.
  2. Basic Bioinformatics Tools:
    The exploration of basic bioinformatics tools and techniques has decreased, possibly due to the emergence of more sophisticated methods and frameworks that provide enhanced capabilities for data analysis and interpretation.
  3. Single-Domain Focus Studies:
    Research that focuses on single-domain applications of data mining, especially those that do not integrate interdisciplinary approaches, is less frequently seen, indicating a shift towards more complex, multi-faceted research questions.
  4. Manual Data Processing Techniques:
    Papers that emphasize manual or semi-automated data processing methods are becoming less common as the field moves towards fully automated solutions powered by artificial intelligence and machine learning.
  5. Low-Impact Case Studies:
    There is a noticeable decline in low-impact case studies that do not contribute significantly to theoretical advancements or practical applications, reflecting a trend towards more impactful and innovative research.

Similar Journals

Network Modeling and Analysis in Health Informatics and Bioinformatics

Innovating the intersection of networks and health data.
Publisher: SPRINGER WIENISSN: 2192-6662Frequency: 1 issue/year

Network Modeling and Analysis in Health Informatics and Bioinformatics, published by SPRINGER WIEN, stands as a vital resource in the interdisciplinary domains of health informatics and bioinformatics. With an ISSN of 2192-6662 and E-ISSN of 2192-6670, this journal aims to facilitate the dissemination of innovative research that intersects network modeling, data analysis, and health applications. The journal competes at a Q3 quartile level across multiple categories including Biomedical Engineering and Health Informatics, showcasing its growing influence within the academic community. As of 2023, it holds impressive Scopus rankings, including a 20th position in Urology, illustrating its significance in the field. Although not an open access publication, the journal is dedicated to providing cutting-edge insights from 2012 to 2024 and is poised to attract researchers, professionals, and students striving to push the boundaries of knowledge in health informatics and bioinformatics. This journal is not just a platform for sharing scholarly articles; it is a catalyst for advancing methodologies that enhance patient care and medical research.

Journal of Integrative Bioinformatics

Advancing the Frontiers of Bioinformatics Research
Publisher: WALTER DE GRUYTER GMBHISSN: Frequency: 1 issue/year

Journal of Integrative Bioinformatics, published by WALTER DE GRUYTER GMBH, is a leading open-access journal that has been at the forefront of the field since its inception in 2004. With an E-ISSN of 1613-4516, it serves as a crucial platform for researchers engaged in the interdisciplinary study of bioinformatics, blending insights from biology, computer science, and mathematics. Based in Germany, the journal is recognized for its impact in the realm of general medicine, boasting a Scopus rank of #172 out of 636 and placing in the 73rd percentile of its category. The journal continuously strives to disseminate high-quality research contributions that unify experimental and computational approaches to address complex biomedical questions. Targeted towards academics, professionals, and students alike, the Journal of Integrative Bioinformatics provides essential access to innovative research that enhances our understanding of integrative methodologies in medicine and beyond, especially with converged years spanning from 2008 to 2024.

BIOINFORMATICS

Unveiling Innovations at the Intersection of Biology and Computation
Publisher: OXFORD UNIV PRESSISSN: 1367-4803Frequency: 24 issues/year

BIOINFORMATICS, published by Oxford University Press, is a leading journal in the realms of biochemistry, computational mathematics, and computer science, with a notable impact factor that underscores its significance in the field. Since its inception in 1985 and continuing through its expected convergence in 2024, the journal has maintained a prestigious reputation, proudly residing in the Q1 category across multiple disciplines, including molecular biology and statistics. With a Scopus ranking placing it within the top percentiles of its categories, BIOINFORMATICS serves as an essential platform for disseminating high-quality research that advances knowledge and innovation at the intersection of biology and computational sciences. This journal not only offers both subscription and open access options, ensuring wider availability of its cutting-edge research, but it has also become a crucial resource for researchers, professionals, and students aiming to stay at the forefront of bioinformatics and related fields. Explore the latest findings and trends that define the future of biological research through this esteemed publication, any inquiries regarding the journal can be directed to its offices located at Great Clarendon St, Oxford OX2 6DP, England.

International Journal of Data Science and Analytics

Transforming Ideas into Impactful Data Solutions
Publisher: SPRINGERNATUREISSN: 2364-415XFrequency: 4 issues/year

International Journal of Data Science and Analytics, published by SpringerNature, is a leading peer-reviewed journal dedicated to advancing the fields of data science and analytics. Since its inception in 2016, the journal has become an essential platform for researchers, professionals, and students, promoting the exchange of innovative ideas and cutting-edge research. With an impressive categorization in Q2 across multiple domains including Applied Mathematics, Computational Theory and Mathematics, and Information Systems, it demonstrates a notable impact within the academic community, as reflected by its high rankings in various Scopus categories. The journal emphasizes rigorous methodologies and practical applications of data science, making it a valuable resource for those seeking to enhance their understanding and application of data-driven solutions. Although it currently does not operate as an open-access journal, it is committed to disseminating high-quality research that shapes the future of analytics and computation. The journal's headquarters in Switzerland further enriches its international scope, fostering a global dialogue among scholars and practitioners alike.

IEEE-ACM Transactions on Computational Biology and Bioinformatics

Advancing the Frontiers of Computational Biology and Bioinformatics
Publisher: IEEE COMPUTER SOCISSN: 1545-5963Frequency: 6 issues/year

IEEE-ACM Transactions on Computational Biology and Bioinformatics is a prestigious journal published by the IEEE Computer Society, focusing on the interdisciplinary field of computational biology and bioinformatics. Established in 2004, this journal has made significant strides in contributing to our understanding of complex biological systems through quantitative methods and computational techniques, and it spans a converged publication period through 2024. As a notable resource with an impact factor that positions it in the second quartile in the domains of Applied Mathematics, Biotechnology, and Genetics, it serves as an essential platform for researchers and professionals seeking to disseminate their findings to a global audience. The journal ranks impressively in Scopus, with Applied Mathematics holding a rank of #38 out of 635 (94th percentile) and Genetics at #86 out of 347 (75th percentile), highlighting its significant influence in the scientific community. While the journal is not open-access, it provides valuable insights and cutting-edge research that are crucial for advancing the fields of bioinformatics and computational biology, making it indispensable for students, researchers, and practitioners alike.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE

Fostering collaboration in the realm of computer science.
Publisher: GRAZ UNIV TECHNOLGOY, INST INFORMATION SYSTEMS COMPUTER MEDIA-IICMISSN: 0948-695XFrequency: 12 issues/year

JOURNAL OF UNIVERSAL COMPUTER SCIENCE, published by Graz University of Technology's Institute for Information Systems and Computer Media (IICM), stands as a pivotal resource in the field of computer science. Since its inception in 1994, this Open Access Journal has fostered a culture of knowledge sharing and collaboration, allowing readers from all corners of the globe to access cutting-edge research without barriers. With an impressive convergence of studies spanning from 1996 to 2024, the journal covers a breadth of topics within Computer Science, achieving a Q3 ranking in miscellaneous areas and a Q4 ranking in theoretical computer science as of 2023. It also holds significant standing in Scopus rankings, demonstrating its influence and reach among the scientific community. The journal is particularly valuable to researchers, professionals, and students eager to explore innovative ideas and techniques that push the boundaries of computer science. Based in Austria, the journal is dedicated to maintaining high standards of scholarly integrity while promoting interdisciplinary discourse and advancements in technology.

COMPUTATIONAL BIOLOGY AND CHEMISTRY

Unraveling Complex Biological Mysteries with Computational Precision
Publisher: ELSEVIER SCI LTDISSN: 1476-9271Frequency: 6 issues/year

COMPUTATIONAL BIOLOGY AND CHEMISTRY is a distinguished academic journal published by Elsevier Science Ltd, focusing on the dynamic intersection of computational biology, biochemistry, and chemistry. With an ISSN of 1476-9271 and an E-ISSN of 1476-928X, this journal is committed to disseminating high-quality research that employs computational techniques to solve complex biological and chemical problems. As of 2023, the journal holds a substantial impact factor reflecting its significance and rigorous peer-review process, categorized in the Q2 quartile for both Computational Mathematics and Organic Chemistry, alongside Q3 classifications in Biochemistry and Structural Biology. With a continuous publication history spanning from 2003 to 2024, it serves as a critical resource for researchers, professionals, and students alike. The journal offers various open access options, ensuring that vital research findings are accessible to a global audience, further enhancing collaboration across disciplines. Engage with cutting-edge studies and contribute to the evolving landscape of computational methodologies in the life sciences through this esteemed publication.

Frontiers in Big Data

Advancing Knowledge at the Intersection of AI and Information Systems
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.

Bioinformatics Advances

Advancing the Future of Bioinformatics Research
Publisher: OXFORD UNIV PRESSISSN: Frequency: 1 issue/year

Bioinformatics Advances, published by Oxford University Press, is an esteemed academic journal that serves as a vital platform for the dissemination of innovative research in the rapidly evolving fields of bioinformatics and computational biology. With a promising E-ISSN of 2635-0041, this journal has made significant strides since its inception in 2021, achieving a commendable Q1 ranking in both the Computer Science Applications and Genetics categories, alongside respectable Q2 rankings in Molecular Biology and Structural Biology as of 2023. Though currently not an open-access publication, its critical insights cater to an audience keen on advancing knowledge and technology in genomic studies and data analytics. The journal emphasizes high-quality research and aims to facilitate the integration of computational techniques within biological sciences, making it an essential resource for researchers, professionals, and students alike who seek to stay at the forefront of bioinformatics advancements.

Big Data Mining and Analytics

Empowering Discoveries with Cutting-Edge Analytics
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.