Journals in Computers in geosciences

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

Subscriptions

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

Subscriptions

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.

Subscriptions

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

Subscriptions

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

Subscriptions

Ocean Modelling

ISSN: 1463-5003
5 Year impact factor: 3.4
Impact factor: 3.1

Ocean Modelling is an international journal that highlights the significant findings and breakthroughs in all aspects of ocean modelling research to support the advancement of ocean sciences.Ocean Modelling welcomes submissions in various forms of mechanism analysis, laboratory experiments, ocean model development, improvements and applications, as well as model-observation synergies. In particular, ocean model applications at different scales that aim at understanding the ocean and Earth system and its coupling to biological, geological and chemical systems are welcome. Special attention can be also given to interdisciplinary contributions focusing on interactions between physics, biology and chemistry, cross-scale processes, and machine learning.The journal publishes topics including:Models of ocean circulation, surface waves, tides and sea ice, marine ecosystems, biogeochemical processes, sediment processes, and coastal morphology.Earth system models, ocean-atmosphere coupled models, and climate models with a special emphasis on the role of the ocean.Innovative modelling, combined with observational, theoretical studies concerning physical and biogeochemical processes in different time and space scales.Technologies associated with ocean model development, (e.g., model framework, coupler, data assimilation, high-performance computing, and artificial intelligence).Simulation, prediction and response strategy of ocean and climate disasters like tsunamis, flooding, volcano eruptions, float stone, marine heat waves, oil spill movements, etc.Improved understanding of the variability in the ocean and its past, present and future role in the wider climate system using models and observations.Topical Collections will be envisaged for timely topics, related to ocean modelling, to promote key advances in specific research areas in ocean modelling and to bring together high-quality contributions in the collection's domain. Ocean Modelling welcome submissions to the 3 ongoing Topical Collections: Cross-Scale Processes in Ocean Modelling, Artificial Intelligence (AI) Methods and Applications for Ocean Modelling, Advancements in Earth System Modelling with Ocean Components.Ocean Modelling publishes 12 issues per year with 4 categories of articles, including:1. Research Papers form the core of the journal, with a typical length of 6000 words and a maximum of 10000 words.2. Reviews are between 8000 and 20000 words, on topics cross traditional lines.3. Short Communications are short research papers, with a typical length of 2000 words, and a maximum of 5000 words, 3 Figures or Tables.4. Perspective papers discuss about subjective positions, viewpoints or new concepts within less than 2000 words.

Subscriptions

Remote Sensing of Environment

ISSN: 0034-4257
5 Year impact factor: 12.7
Impact factor: 11.1

Remote Sensing of Environment (RSE) serves the Earth observation community with the publication of results on the theory, science, applications, and technology of studies contributing to advance the science of remote sensing. Thoroughly interdisciplinary, RSE publishes on terrestrial, oceanic and atmospheric sensing. The emphasis of the journal is on biophysical and quantitative approaches to remote sensing at local to global scales and covers a wide range of applications and techniques:ApplicationsLand cover mapping, vegetation species identification and mappingLand surface energy and water balanceDisturbance (fire, insect, harvest)Agriculture (crop mapping, yield prediction, phenology, soil properties, management practices)Forest and rangeland productivity and inventoriesEcological applications & Ecosystem services (wetland, biodiversity, habitat, animal population, etc.)Urban applications (mapping, energy consumption, population, etc.)Terrestrial ecosystem productivity and carbon cyclesSoil properties (moisture, organic matter, texture, structure, etc.)Geological Applications (minerals, landslide, subsidence, geomorphology, earth quake, etc.)Hydrology and water resourcesInland and coastal watersOceanography and marine scienceCryosphere, mapping and modellingAtmospheric science and meteorologySnow, ice and glaciersTechniques & MethodsFeature extraction from RS images: segmentation and classification, surface structural, biochemical or physiological traits estimation from RS dataRadiative transfer modellingMachine and deep learning for RS data analysisRS Data assimilationSatellite time series analysis & change detectionSatellite data fusion (spectral, spatial and temporal)Satellite sensor systems characterization including radiometric and geometric calibrationNew remote sensing missions and systemsThe journal Remote Sensing of Environment invites proposals for Special Issues. For more details on the SI proposal process and how to submit a SI, please refer to the relevant section - Journal Specific Information - of the Guide for Authors.

Subscriptions

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Journals in Computers in geosciences

Artificial Intelligence in Geosciences

Calphad

Computers & Geosciences

Earthquake Science

Intelligent Geoengineering

Ocean Modelling

Remote Sensing of Environment