Nature Machine Intelligence

Scope & Guideline

Catalyzing Breakthroughs in Human-Computer Interaction

Introduction

Welcome to your portal for understanding Nature Machine Intelligence, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN-
PublisherNATURE PORTFOLIO
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationNAT MACH INTELL / Nat. Mach. Intell.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressHEIDELBERGER PLATZ 3, BERLIN 14197, GERMANY

Aims and Scopes

Nature Machine Intelligence focuses on the intersection of machine learning, artificial intelligence, and their applications across various scientific disciplines. The journal emphasizes innovative methodologies and interdisciplinary approaches that leverage AI technologies to solve complex problems in fields such as biology, medicine, robotics, and environmental science.
  1. Interdisciplinary AI Applications:
    The journal showcases research that applies AI and machine learning techniques across various domains, including healthcare, robotics, and environmental science, highlighting the versatility of these technologies.
  2. Methodological Innovations:
    Nature Machine Intelligence publishes studies that introduce novel methodologies in machine learning, such as deep learning, reinforcement learning, and generative models, to address specific scientific challenges.
  3. Ethical and Societal Implications:
    The journal emphasizes the importance of ethical considerations in AI research, exploring topics such as algorithmic fairness, data privacy, and the societal impacts of deploying AI systems.
  4. Data-Centric Approaches:
    Research focusing on data-centric methodologies, including the use of large datasets, data augmentation, and novel data representation techniques, is a key area of interest, aiming to improve the performance and interpretability of AI models.
  5. AI in Precision Medicine:
    A significant focus is on the application of AI in biomedical research, especially in precision medicine, where machine learning is used to predict patient outcomes, personalize treatments, and discover new therapeutic targets.
Recent publications in Nature Machine Intelligence reveal several emerging themes that indicate the journal's evolving focus. Here are the key areas that are currently trending in the journal's research landscape.
  1. Generative AI and Deep Learning:
    There is a significant increase in research exploring generative AI techniques, particularly in applications such as drug discovery, molecular design, and synthetic data generation, showcasing the potential of these methods in various scientific fields.
  2. AI Ethics and Responsible AI:
    The journal is increasingly publishing studies that address ethical considerations in AI, such as algorithmic bias, transparency, and the societal implications of AI technologies, reflecting a growing awareness of the responsibilities associated with AI development.
  3. AI for Healthcare and Precision Medicine:
    Research focusing on the application of AI in healthcare, particularly in precision medicine, diagnostics, and personalized treatment plans, is gaining traction as the demand for AI-driven solutions in medicine continues to rise.
  4. Reinforcement Learning in Robotics:
    There is a notable trend towards applying reinforcement learning techniques in robotics, particularly for autonomous systems and humanoid robots, highlighting advancements in machine learning that enable more adaptive and intelligent robotic behaviors.
  5. Interdisciplinary Data Science:
    Emerging themes include the integration of AI with other scientific disciplines, such as environmental science, neuroscience, and social sciences, demonstrating a trend towards collaborative research that leverages AI to address complex, interdisciplinary problems.

Declining or Waning

As the field of machine intelligence evolves, certain themes within Nature Machine Intelligence have shown a decline in prominence over recent years. This section highlights those areas that are becoming less frequent in the journal's publications.
  1. Traditional Statistical Methods:
    There is a noticeable decline in papers focusing solely on traditional statistical methods in machine learning, as the field shifts towards more advanced deep learning techniques and neural network-based approaches.
  2. General AI Models without Contextual Application:
    Research presenting generalized AI models without specific applications or contextualization appears to be waning, as the journal increasingly favors studies that demonstrate practical applications of AI in real-world scenarios.
  3. Narrowly Defined AI Techniques:
    Papers focusing on narrowly defined AI techniques without interdisciplinary applications are becoming less prominent, reflecting a trend towards broader, integrative research that combines multiple AI methodologies.

Similar Journals

Computer Science-AGH

Advancing the Frontiers of Computer Science Research
Publisher: AGH UNIV SCIENCE & TECHNOLOGY PRESSISSN: 1508-2806Frequency: 4 issues/year

Computer Science-AGH, published by the AGH University of Science & Technology Press in Poland, is an esteemed open access journal that has been disseminating high-quality research since 2004. With ISSN 1508-2806 and E-ISSN 2300-7036, this journal focuses on a diverse range of areas within the computer science discipline, including but not limited to Artificial Intelligence, Computational Theory, Computer Graphics, and Networks. While it currently holds a Q4 ranking across several categories as of 2023, it actively promotes research that contributes to the academic community's understanding and evolution in the field. The journal's commitment to open access ensures that vital research is accessible to a wider audience, fostering collaboration and innovation. With its comprehensive focus and strategic publication goals, Computer Science-AGH plays a crucial role in advancing the frontiers of computer science research and education, making it an invaluable resource for researchers, professionals, and students alike.

Journal of Advanced Computational Intelligence and Intelligent Informatics

Exploring the Future of Intelligent Systems
Publisher: FUJI TECHNOLOGY PRESS LTDISSN: 1343-0130Frequency: 6 issues/year

The Journal of Advanced Computational Intelligence and Intelligent Informatics, published by FUJI TECHNOLOGY PRESS LTD, stands as a pivotal platform in the fields of Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Established in 1997, this Open Access journal has been providing accessible insights into the latest advancements in computational intelligence and informatics since 2007. With its ISSN 1343-0130 and E-ISSN 1883-8014, this journal invites a diverse readership, including researchers, professionals, and students eager to explore innovative methodologies and applications. Despite its current Q4 ranking in the relevant categories, the journal remains committed to contributing valuable knowledge to the academic community and enhancing the global discourse in computational technologies. With its focus on fostering communication and collaboration among scholars, the journal plays an essential role in driving forward the understanding of intelligent systems and their applications in various domains.

COMPUTING AND INFORMATICS

Exploring the Frontiers of Computer Science
Publisher: SLOVAK ACAD SCIENCES INST INFORMATICSISSN: 1335-9150Frequency: 6 issues/year

COMPUTING AND INFORMATICS is a peer-reviewed academic journal published by the Slovak Academy of Sciences Institute of Informatics, focusing on various aspects of computer science and its applications. Established in 2000, this journal has garnered attention for its emphasis on computational theory, computer networks, software development, and hardware architecture, placing it in the competitive landscape of academic publishing with currently a Q3 ranking in the fields of Computational Theory and Mathematics, and Computer Networks and Communications, as well as Q4 ranking in Software and Hardware and Architecture categories. Readers can access its findings through Open Access, promoting wider dissemination of innovative research. With an ISSN of 1335-9150 and an E-ISSN of 1335-9150, the journal serves as a vital platform for showcasing cutting-edge research in the field, aiming to bridge theoretical foundations with practical applications. This journal not only contributes to the academic community but also supports the ongoing advancements in technology and informatics, making it an important resource for researchers, professionals, and students keen on staying at the forefront of the field.

Computer Science and Information Systems

Exploring the Depths of Computer Science Excellence
Publisher: COMSIS CONSORTIUMISSN: 1820-0214Frequency: 3 issues/year

Computer Science and Information Systems, an esteemed journal published by the COMSIS CONSORTIUM, serves as a vital platform for researchers and practitioners within the field of computer science and information systems. With an ISSN of 1820-0214, this open access journal has been disseminating high-quality research since 2004, making scholarly content readily accessible to a global audience. Based in Novi Sad, Serbia, the journal has established itself as a point of reference in the academic community, achieving a Q3 ranking in the Computer Science (miscellaneous) category as of 2023. With its coverage spanning from 2008 to 2024, it caters to a diverse range of topics, including software engineering, data processing, and system architecture. Although the HIndex is currently not available, the journal holds a respectable 43rd percentile ranking in the Scopus database for general computer science, showcasing its relevance in the field. By offering an open access model, it ensures that groundbreaking research can be freely accessed and utilized, fostering innovation and collaboration across disciplines.

PROGRAMMING AND COMPUTER SOFTWARE

Connecting Researchers and Practitioners in Software Development
Publisher: PLEIADES PUBLISHING INCISSN: 0361-7688Frequency: 6 issues/year

PROGRAMMING AND COMPUTER SOFTWARE is a distinguished journal committed to advancing the field of software development and programming methodologies. Published by PLEIADES PUBLISHING INC, this journal has been a valuable resource since its inception in 1978, reaching out to researchers, professionals, and students alike. With an emphasis on rigorous peer-reviewed articles, the journal holds a Q3 ranking in the realm of Software according to the latest 2023 Category Quartiles. Though it does not offer open access, the journal ensures that high-quality research is disseminated to its audience, providing insights into evolving programming techniques, software engineering challenges, and innovative solutions. With its convergence of years extending to 2024, PROGRAMMING AND COMPUTER SOFTWARE remains a pivotal publication, fostering a deeper understanding of the complexities in computer programming while supporting the broader software community.

Vietnam Journal of Computer Science

Empowering researchers to shape the future of technology.
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.

PeerJ Computer Science

Leading the Charge in Scholarly Communication
Publisher: PEERJ INCISSN: Frequency: 1 issue/year

PeerJ Computer Science is a leading open access journal published by PEERJ INC, dedicated to the field of computer science. Since its inception in 2015, it has made significant strides in promoting scholarly communication and accessibility to cutting-edge research. With an impressive impact factor reflected by a Q1 ranking in the Computer Science (miscellaneous) category and a Scopus rank of 51 out of 232, this journal stands at the forefront of its field. The journal's open access model ensures that groundbreaking findings are readily available to researchers, professionals, and students alike, fostering collaboration and innovation in the ever-evolving landscape of computer science. As it continues to publish until 2024 and beyond, PeerJ Computer Science remains an essential resource for those seeking to stay ahead in their research and practice.

COMPUTER

Exploring the Future of Computing, One Article at a Time.
Publisher: IEEE COMPUTER SOCISSN: 0018-9162Frequency: 12 issues/year

COMPUTER, published by the IEEE COMPUTER SOC, stands as a pivotal resource in the field of computer science, encompassing a broad range of topics and innovations within the industry. With an ISSN of 0018-9162 and E-ISSN 1558-0814, this esteemed journal features high-impact research articles that contribute significantly to the advancement of technology, demonstrating a prestigious Q1 classification in the Computer Science (miscellaneous) category for 2023. Positioned within the top percentile of Scopus rankings (ranked #84 out of 232), COMPUTER serves as an essential platform for sharing pioneering ideas and emerging trends that shape the future of computing. Although it does not currently offer open access, the journal's rigorous peer-review process ensures the publication of high-quality content. Researchers, professionals, and students alike will find invaluable insights into computer science developments from 1970 through 2024, making it a vital tool for anyone dedicated to this ever-evolving field.

Annual Review of Biomedical Data Science

Illuminating the Path of Biomedical Data Advancements
Publisher: ANNUAL REVIEWSISSN: 2574-3414Frequency: 1 issue/year

Annual Review of Biomedical Data Science, published by ANNUAL REVIEWS, stands as a premier journal in the fields of Biomedical Engineering, Biochemistry, Genetics, and Cancer Research, with an impressive Q1 ranking across these categories in 2023. With its ISSN and e-ISSN both assigned as 2574-3414, this journal serves as a critical resource for researchers, professionals, and students looking to delve into comprehensive reviews of the rapidly evolving landscape of biomedical data science. The journal's scope includes the intersection of data science methodologies and biomedical applications, making it essential for those aiming to stay at the forefront of innovations that drive advancements in healthcare and medical research. Although it currently does not provide open access options, its commitment to high-quality research and its robust rankings—placing it in the 94th percentile in its field—underscore its significance and credibility in the academic community. Operating from the United States, with its offices located in Palo Alto, CA, this journal is a vital contributor to the discourse on the integration of data science within biomedical fields, fostering collaboration and knowledge dissemination among scholars worldwide.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE

Cultivating a culture of innovation in 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.