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Journals in Computers in geosciences

Applied Computing and Geosciences

  • ISSN: 2590-1974
  • 5 Year impact factor: 2.7
  • Impact factor: 2.6
Applied Computing & Geosciences is an online-only, open access journal focused on all aspects of computing in the geosciences. Like its companion title Computers & Geosciences, Applied Computing & Geosciences' mission is to advance and disseminate knowledge in all the related areas of at the interface between computer sciences and geosciences.Applied Computing & Geosciences publishes original articles, review articles and case-studies. Alongside welcoming direct submissions, the journal will benefit from an Article Transfer Service which will allow the author(s) to transfer their manuscript online from Computers & Geosciences thus saving authors time and effort spent on formatting and resubmitting.Applied Computing & Geosciences offers the community an innovative, efficient and flexible route for the publication of scientifically and ethically sound articles which address problems in the geosciences which includes: Algorithms; Artificial Intelligence; Computational Methods; Computer Graphics; Computer Visualization; Data Models; Data Processing; Database Retrieval; Distributed Systems; E-Geoscience; Geocomputation; Geographical Information Systems; Geoinformatics; Geomathematics; Image Analysis; Information Retrieval; Modelling; Near and Remote Sensing Data Analysis; Ontologies; Parallel Systems; Programming Languages; Remote Sensing; Simulation; Social Media; Software Engineering; Spatial Analysis and The World-Wide Web.The term Geoscience is used in a broad sense to refer to the physical Earth sciences including: Atmospheric Sciences; Climatology; Economic Geology; Environmental Science; Geochemistry; Geodesy; Geology; Geomatics; Geomorphology; Geological and Geotechnical Engineering; Geophysics; Glaciology; Hydrogeology; Hydrology; Meteorology; Mineralogy; Oceanography; Ore Geology; Paleogeography; Paleontology; Petrology; Physical Geography; Planetary Science; Sedimentology; Seismology; Soil Science; Stratigraphy and Structural Geology.Our highly experienced and well-respected editorial team ensures that all papers are promptly, rigorously and fairly peer-reviewed by the experts in the field. Research paper (5,000 words): Providing an original contribution to the scientific fields of study outlined above.Review paper (10,000 words): Critically describing the state-of-the art of applications of computer science in the geosciences, as a stand-alone contribution or to frame a special issue.Application article (5,000 words): Describing a real-world case study on the scientific fields of study outlined above.Criteria for assessment shall be: completeness, depth, novelty, timeliness, quality, and interest to the Journal's readership. Before submitting review paper manuscripts, a review outline should be approved by one of the editors of the Journal.

Artificial Intelligence in Geosciences

  • ISSN: 2666-5441
Artificial intelligence (AI) is one of the fastest growing disciplines in electronic information technology. Along with diversified data, AI-enabled technologies such as image processing, smart sensors, and intelligent inversion, are being tested by researchers in a wide variety of geosciences domains. These technologies have the potential to help geosciences move from qualitative to quantitative analysis. We believe that taking an interdisciplinary approach will deliver benefits to both geosciences and AI.Artificial Intelligence in Geosciences is an open access journal providing an interdisciplinary forum where ideas and solutions related to artificial intelligence and its applications in geosciences can be shared and discussed. To support this discussion, we encourage authors to open source their code, data, and the labels used in AI.We welcome both fundamental science and applied research describing the practical applications of AI methods in the fields of geology, rock physics, seismicity, hydrology, ecology, marine geosciences, planetary science, environment, volcanology, oceanography, remote sensing and GIS, and related areas.Submissions to Artificial Intelligence in Geosciences may take the form of original research articles, review articles, perspective papers, or short communications, and a variety of topics will be considered. These include, but are not limited to:AI-based decision support systemsAI-based precision geosciencesSmart sensors and the Internet of ThingsGeosciences robotics and automation equipmentGeosciences knowledge-based systemsComputational intelligence in geosciencesAI in geosciences optimization managementIntelligent interfaces and human-machine interactionMachine vision and image/signal processingMachine learning and pattern recognitionNeural networks, fuzzy systems, neuro-fuzzy systemsSystems modeling and analysisExpert systems in geosciencesBig data and cloud computing in geosciencesAutomatic navigation and self-driving technologyHigh Performance Computing in the context of Machine LearningArtificial Intelligence in Geosciences also welcomes suggestions and proposals for special issues.Editorial Board

Big Data and Earth System

  • ISSN: 3050-7405
Aims:"Big Data and Earth System" aspires to be an interdisciplinary beacon, illuminating the integration of Big Data analytics and computational approaches within Earth System Sciences. Our mission is to promot cutting-edge research that leverages advanced data analytics, machine learning, and computational methods to understand, monitor, simulate, and predict Earth system processes and changes. By bridging the gap between data science and earth sciences, the journal aims to facilitate the development of innovative methodologies and applications that can enhance our understanding of Earth system and contribute to global sustainability efforts.Scope: The journal invites contributions that showcase the novel use of Big Data, computational techniques, and artificial intelligence (AI) in addressing challenges within Earth System Sciences. This includes but is not limited to: Novel AI Methodologies for Earth Big Data to understand, monitor, simulate, and predict Earth system processes.Computational Models and Simulations for understanding atmospheric, oceanic, geological, surface, and deep-earth dynamics.Big Data in Deep-time Earth leveraging geological data for Earth system simulation and analysis.Big Data in Earth Observation leveraging satellite imagery, sensor networks, and remote sensing for Earth surface system simulation and analysis and linking the processes operating in Earth's interior with the phenomena at the surface.Big Data in Natural Process Affecting Humans, including climate change, resource exploration, natural disaster, and sustainable management.Data Management and Visualization techniques for handling large-scale geospatial datasets, enhancing data accessibility, and promoting open science.Editorial Board

Calphad

  • ISSN: 0364-5916
  • 5 Year impact factor: 2.1
  • Impact factor: 1.9
The design of industrial processes requires reliable thermodynamic data. CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) aims to promote computational thermodynamics through development of models to represent thermodynamic properties for various phases which permit prediction of properties of multicomponent systems from those of binary and ternary subsystems, critical assessment of data and their incorporation into self-consistent databases, development of software to optimize and derive thermodynamic parameters and the development and use of databanks for calculations to improve understanding of various industrial and technological processes. This work is disseminated through the CALPHAD journal and its annual conference. Contributions of high quality in these and related fields, especially the fields of first-principles calculations, experimental measurements of thermochemical and phase equilibrium data, phase transformations, and the process and materials designs that the CALPHAD works are based on or used for, are welcome.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

Computers & Geosciences

  • ISSN: 0098-3004
  • 5 Year impact factor: 4.4
  • Impact factor: 4.2
Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.Computational/informatics elements may include: computational methods; algorithms; data models; database retrieval; information retrieval; near and remote sensing data analysis; data processing; artificial intelligence; computer graphics; computer visualization; programming languages; parallel systems; distributed systems; the World-Wide Web; social media; ontologies; and software engineering.Geoscientific topics of interest include: mineralogy; petrology; geochemistry; geomorphology; paleontology; stratigraphy; structural geology; sedimentology; hydrology; hydrogeology; oceanography; atmospheric sciences; climatology; meteorology; geophysics; geomatics; seismology; geodesy; paleogeography; environmental science; soil science; glaciology.Other fields may be considered but are not regarded as a priority.Computers & Geosciences does not consider:Geoscience manuscripts that do not contain a significant computer science innovation. Pure methodological developments (e.g. geophysics, hydrology) are not considered. Pure analytical developments are not considered, unless they have significant implications on computational geoscientific problems.Computer science manuscripts with no clear application to the geosciences (as defined above).Manuscripts aiming at solving a geoscientific engineering problem rather than answering a scientific question.Standard code of already well-established, or previously published methods.Graphical User Interfaces (GUIs), unless they provide an original solution to a non-trivial input-handling problem.Manuscripts that use GIS tools in standard ways.Code and Data: Computers & Geosciences aims to publish code and supporting data from accepted manuscripts using state-of-the-art technologies. Code should be original and demonstrate a development in research. It should also have clear design and be reproducible, reusable, extensible and maintainable. Manuscripts presenting code, software or implementation of described algorithms need to include a link to a repository where the code can be downloaded. In such cases the open source license should be clearly indicated in submitted manuscripts. Manuscripts that describe code that is not open source are desk rejected. The journal editors offer to fork source code or data repositories that accompany published papers on GitHub https://github.com/CAGEO, to help the community find the author's original repository.Paper Types and maximum lengths (lengths mentioned below are not including abstract, references and figure captions):Research paper (5,000 words): Providing a novel and original contribution to the scientific fields of study outlined above.Case study (5,000 words): Describing a real-world case study on the scientific fields of study outlined above.Review paper (10,000 words): Critically describing the state-of-the art of applications of computer science in the geosciences, as a stand-alone contribution or to frame a special issue. Criteria for assessment shall be: completeness, depth, novelty, timeliness, quality, and interest to the journal's readership. Before submitting review paper manuscripts, a review outline should be approved by one of the editors of the journal.Book or software reviews (1500 words): Describing and evaluating a new or significant publication or piece of software, not written by the author, that is relevant to computation or informatics in the geosciences.Letter to the Editor: Commenting on published articles. Criteria for assessment shall be the merit of the question or comment raised. The author(s) of the commented-on article shall be offered the opportunity to prepare a reply, to be published alongside the comment. Manuscripts can also be submitted to Computers & Geosciences? open access companion title, Applied Computing & Geosciences.

Earthquake Science

  • ISSN: 1674-4519
  • 5 Year impact factor: 1.3
  • Impact factor: 1.9
The contents of Volumes 28-32 of Earthquake Science can be found here. https://www.equsci.org.cn/archive_list_en.htmEarthquake Science (EQS) aims to publish high-quality, original, peer-reviewed articles on earthquake-related research subjects. It is an English journal sponsored by the Seismological Society of China and the Institute of Geophysics, China Earthquake Administration.The topics include, but not limited to, the followingSeismic sources of all kinds.Earth structure at all scales.Seismotectonics.New methods and theoretical seismology.Strong ground motion.Seismic phenomena of all kinds.Seismic hazards, earthquake forecasting and prediction.Seismic instrumentation.Significant recent or past seismic events.Documentation of recent seismic events or important observations.Descriptions of field deployments, new methods, and available software tools.Editorial Board

Evolving Earth

  • ISSN: 2950-1172
Evolving Earth is a multi-disciplinary open access journal publishing novel geoscience research that addresses all aspects of Earth system science, the past and future evolution of our planet, and global change mitigation. The journal publishes papers that cut across the established boundaries of sciences and emphasise the inter-dependent facets of our evolving planet. We welcome submissions across four broad areas.The Earth System section addresses the science of how our planet works, and encompasses these topics amongst others: Deep Earth and Tectonic Processes; Atmospheric Science; Glaciology and Polar Science; Oceanographic Science; Terrestrial and Freshwater Systems; Ecosystems and Biogeochemical Cycles.The Earth History section focuses on the story of planetary evolution, from its origins 4.56 billion years ago to the present day, with an emphasis on the critical role of life, and covers these topics: Palaeontology, Evolution and the History of Life; Sedimentary Basins and Stratigraphy; Palaeogeography, Palaeoclimatology, and Palaeoecology; Quaternary and Anthropocene Sciences; Human Evolution and Geoarchaeology; Earth Surface Processes and Geomorphology.The Earth Futures section is concerned with the science of global change including, but not limited to, the following topics: The Changing Nature of the Earth System; Climate Modelling and Feedbacks; Planetary Boundaries and Habitability; Extinction and Mitigation; Global Change Ecology and Remote Sensing of ChangeThe Earth and Humans section considers the science-based mitigation of global change in relation to its specific impacts on human society and infrastructure. Examples of fields relevant to this diverse area include: Food and Water Security; Geological Hazards and Risk; Sustainable Geoscience; Urban and Engineering Geoscience; Earth Resources and Energy; Critical Zone Science.Manuscripts may be submitted as either original research papers or as authoritative review articles, and we especially welcome proposals for special issues. Every effort should be made to present research outcomes in a way that is understandable for a broad international readership.

Geomatica

  • ISSN: 1195-1036
Affiliated with the Canadian Institute of GeomaticsGeomatica is a multidisciplinary peer-reviewed open access journal which aims to cover all aspects of geomatic sciences, including earth observations, geographic information sciences (GIS), geodesy and global positioning system (GPS), surveying and mapping, global navigation satellite system (GNSS), cadaster and law, hydrography, remote sensing, and photogrammetry. The Journal is committed to publishing innovative, quality research from a wide variety of perspectives and diverse data. Theoretical, algorithmic, experimental, and methodological aspects which contribute to the geomatic sciences and allied technologies (e.g., GeoAI), as well as novel applications to the atmosphere, biosphere, cryosphere, terrestrial domains at global to local scales, and within specific niche areas, are also within the scope of Geomatica. The Journal welcomes contributions on geomatics pedagogy, as well as submissions from the social sciences and humanities that leverage geospatial information. The Journal aims to be a communication channel for researchers, scientists, and professionals across the world.The Journal welcomes four types of contributions:Original Research Articles should describe important, significant new results or methods that will advance geomatics or any discipline(s) that uses geospatial information.Review Articles should provide a thorough review of the current state-of-the-art of an important subject in geomatics, by providing insights and perspectives on the trends, with a synthesis of previous work beyond literature compilation or bibliometric studies.Short Communications are intended to publish significant new techniques, data, or results in a timely manner where expansion to a full-length paper (e.g., 4000 words), may cause a delay in their availability to the research or user community.Tutorial papers are intended to publish new techniques in the form of tutorial articles in the field/sub-field.

Heliyon

  • ISSN: 2405-8440
  • 5 Year impact factor: 3.9
  • Impact factor: 3.4
Heliyon considers research from all areas of the physical, applied, life, social and medical sciences. We publish manuscripts reporting scientifically accurate and valuable research, which adheres to accepted ethical and scientific publishing standards. As such Heliyon publishes new insights as well as extensions on existing theories, negative/null results and replication studies.Submissions covering arts, humanities and law are not considered in Heliyon. Authors of these submissions are encouraged to submit directly to our partner journal Social Sciences & Humanities Open.Heliyon classifies manuscripts/articles into different sections based on the research topic discussed. Some sections exclude certain types of studies from their scope. To know more and to see the kind of manuscripts the various sections publish, please visit: https://www.cell.com/heliyon/sectionsA dedicated in-house editorial office team, internal editors as well as external academic section and associate editors handle your manuscript and manage the publication process, giving your research the editorial support and quality control it deserves.If it's important to you, it's important to us. Submit your paper today.

Intelligent Geoengineering

  • ISSN: 3050-6190
"Intelligent Geoengineering" aims to be a leading platform for distributing advanced research at the intersection of geotechnical engineering and intelligent technologies. The journal focuses on fostering innovation by integrating Artificial Intelligence (AI), big data analytics, and the Internet of Things (IoT) into geotechnical practices, promoting sustainable and eco-friendly methodologies. It encourages submissions that advance theoretical knowledge and demonstrate practical solutions to geoengineering problems, promoting interdisciplinary collaboration to enhance the global impact of its publications. The journal fosters community engagement, providing a vibrant platform for exchanging ideas and discussing the incorporation of emerging technologies in geotechnical engineering. The journal also aims to establish a dynamic forum where geotechnical researchers, practitioners, and policymakers can exchange ideas and discuss innovative practices on the integration of emerging technologies.Topics of particular interest include, but are not limited to:IoT and smart sensors for geotechnical monitoring and testing.Big data and AI applications in georisk analysis and decision-making.Machine learning for soil and rock behavior prediction.Innovative forecasting and early warning for geotechnical stability.Eco-friendly geomaterials and geotechnologies.Climate change impacts and mitigation in geoengineering.Case studies on intelligent geoengineeringEditorial Board