GEM-International Journal on Geomathematics
Scope & Guideline
Shaping the Future of Geomathematical Research
Introduction
Aims and Scopes
- Geomathematical Modeling:
The journal prioritizes research that applies mathematical models to understand and solve geoscientific problems, including wave propagation, fluid flow, and material behavior. - Data-Driven Approaches:
A significant focus is on the integration of data science, machine learning, and statistical methods to enhance the modeling and prediction capabilities within geomathematics. - Uncertainty Quantification:
The journal explores methodologies for quantifying and managing uncertainty in geoscientific models, which is critical for reliable predictions in complex systems. - Multiscale Analysis:
Research that involves multiscale approaches to analyze geological processes at various spatial and temporal scales is a core area of interest, reflecting the complexity of geosystems. - Interdisciplinary Applications:
The journal encourages studies that bridge various scientific disciplines, showcasing applications of geomathematics in fields such as hydrology, geology, and environmental science.
Trending and Emerging
- Machine Learning Applications:
There is a notable increase in research utilizing machine learning techniques for modeling and prediction in geosciences, demonstrating the field's shift towards data-driven methodologies. - Uncertainty Modeling and Propagation:
Recent papers emphasize the importance of uncertainty quantification and propagation in geoscientific modeling, reflecting a broader trend towards enhancing model reliability. - Hybrid Computational Techniques:
The trend towards hybrid methods that combine traditional numerical approaches with modern computational techniques, such as deep learning and Bayesian methods, is gaining traction. - Environmental and Climate Studies:
Emerging themes include a focus on environmental and climate-related research, particularly in the context of water resources, sediment transport, and climate change impacts. - Multidisciplinary Collaborations:
There is an increasing trend toward multidisciplinary research that integrates geomathematics with fields such as environmental science, hydrology, and material science, indicating a broader scope of applications.
Declining or Waning
- Traditional Geophysical Methods:
There seems to be a decline in the publication of papers focusing solely on conventional geophysical techniques, as newer methodologies such as machine learning and advanced computational models gain prominence. - Deterministic Inversion Techniques:
Research centered around deterministic inverse methods appears to be waning, possibly due to the increasing interest in probabilistic and data-driven approaches. - Static Models for Geological Analysis:
The reliance on static models for geological processes is decreasing, with a shift towards dynamic modeling that accounts for temporal changes and uncertainties.
Similar Journals
INTERFACES AND FREE BOUNDARIES
Championing Open Access to Cutting-Edge ResearchINTERFACES AND FREE BOUNDARIES is a prestigious journal published by the EUROPEAN MATHEMATICAL SOCIETY (EMS), focusing on the dynamic and interdisciplinary field of applied mathematics, particularly concerning interfaces and free boundary problems. With an ISSN of 1463-9963 and an E-ISSN of 1463-9971, this journal has established itself as a leading platform for innovative research since its inception in 1999. Operating as an Open Access publication since 2021, it ensures that cutting-edge developments in the field are readily accessible to researchers, practitioners, and students worldwide. The journal is recognized for its significant contributions to the literature, holding a Q1 category ranking in both Applied Mathematics and Surfaces and Interfaces, signifying its impact and relevance in these areas. With a strong emphasis on original research that addresses both theoretical and practical aspects of the subject, INTERFACES AND FREE BOUNDARIES continues to foster collaboration among scholars while promoting the advancement of mathematics in solving real-world problems.
Lobachevskii Journal of Mathematics
Fostering Scholarly Exchange in Diverse Mathematical FieldsLobachevskii Journal of Mathematics is a distinguished academic journal published by MAIK NAUKA/INTERPERIODICA/SPRINGER, dedicated to advancing research in the diverse field of mathematics. With an ISSN of 1995-0802 and an E-ISSN of 1818-9962, it has been a vital resource for scholars since its inception in 1999. Recognized for its contributions to the field, the journal proudly holds a Q2 ranking in the 2023 Mathematics (miscellaneous) category, placing it among the top half of its peers in Scopus, with a rank of 174 out of 399 and a 56th percentile standing. While currently not classified as an open-access journal, it effectively reaches a global audience through comprehensive dissemination of innovative mathematical research until 2024. Researchers, professionals, and students alike will find the Lobachevskii Journal a significant platform for the latest developments and theories in general mathematics, fostering an environment of scholarly exchange and growth.
COMPUTATIONAL MECHANICS
Elevating Research Standards in Computational MechanicsCOMPUTATIONAL MECHANICS, published by SPRINGER, is a premier international journal that focuses on the intersection of applied mathematics, engineering, and computational methods. With a commendable Q1 ranking in multiple categories, including Applied Mathematics and Mechanical Engineering, this journal is pivotal for disseminating groundbreaking research and innovative methodologies that advance the field. The journal has steadily contributed to the academic community since its inception in 1986 and continues to lead discussions and practices in computational mechanics and related disciplines. With a robust impact reflected in its Scopus rankings—placing it within the top percentiles across various categories—COMPUTATIONAL MECHANICS serves as a crucial platform for researchers, professionals, and students seeking to explore and contribute to significant advancements in computational theory and mathematical applications. Although it does not currently operate under an open access model, the journal ensures wide accessibility through libraries and institutional subscriptions, fostering a rich exchange of knowledge in the global scientific community.
Statistical Analysis and Data Mining
Driving Progress in Statistical Techniques and ApplicationsStatistical Analysis and Data Mining is a leading journal published by WILEY, dedicated to exploring the latest advancements in statistical methods and data mining techniques. With an ISSN of 1932-1864 and an E-ISSN of 1932-1872, this journal serves as a significant platform for researchers and professionals in statistical analysis, computer science applications, and information systems. Covering a wide range of topics from innovative analytical methodologies to emerging data mining algorithms, the journal aims to disseminate high-quality research that contributes to the evolving landscape of data science. Ranked in the Q2 category for the fields of Analysis, Computer Science Applications, and Information Systems in 2023, it emphasizes its relevance and impact within academia. While it offers limited Open Access options, the insights shared in this publication are integral for those wishing to stay ahead in fast-paced research and data-driven industries. Since its inception in 2008 and continuing through 2024, Statistical Analysis and Data Mining invites submissions that reflect rigorous empirical research coupled with practical implications, making it a vital resource for the academic community.
COMPUTATIONAL GEOSCIENCES
Fostering Collaboration in Computational GeosciencesCOMPUTATIONAL GEOSCIENCES, published by SPRINGER, is a distinguished journal in the fields of Computational Mathematics, Computational Theory and Mathematics, and Computer Science Applications. With a focus on the intersection of computational methodologies and geosciences, this journal serves as a vital platform for researchers, professionals, and students seeking to advance the understanding and application of computational techniques in earth sciences. The journal has consistently maintained a strong standing, evident from its impressive Q2 quartile ranking in 2023 across various categories, and significant Scopus rankings in Computational Mathematics and Earth and Planetary Sciences. The global impact of this journal is underscored not only by its rigorous peer-review process but also by its commitment to disseminating high-quality research that bridges theoretical advances and practical applications within the earth sciences domain. Scientifically rich and culturally diverse, COMPUTATIONAL GEOSCIENCES aims to foster collaboration and innovation while addressing pressing challenges posed by our changing planet, making it an essential resource for the academic community.
Applications of Mathematics
Pioneering Research in Applied Mathematical TechniquesApplications of Mathematics, published by SpringerNature, is a respected journal based in the Netherlands that provides a platform for innovative research in the field of applied mathematics. Since its inception in 1997 and with a convergence ongoing until 2024, the journal supports the dissemination of high-quality scholarship, although it currently holds a Q4 category ranking in the applied mathematics category, which reflects its niche importance in the academic community. Researchers and professionals in the field can access a diverse array of applied mathematical techniques and their practical applications, contributing to advancements across various disciplines. While the journal does not operate under an open access model, it is indexed and ranked in Scopus, where it holds a rank of 419 out of 635, placing it in the 34th percentile. This underscores its value and relevance in the global research landscape.
Foundations of Data Science
Exploring the Foundations of Tomorrow's TechnologiesFoundations of Data Science, published by the American Institute of Mathematical Sciences (AIMS), is a pioneering journal dedicated to advancing knowledge within the ever-evolving fields of data science, mathematics, and computational theory. With an impact factor reflecting its quality and relevance, this journal has established itself as a crucial resource for researchers and professionals alike, achieving remarkable rankings in the Scopus metrics across various mathematical categories, including 35th in Analysis and 70th in Statistics and Probability. The journal, which has been continuously growing in significance since its inception in 2019, focuses on both foundational theories and applied methodologies, providing open access to cutting-edge research from 2024 onward. Its commitment to fostering interdisciplinary collaboration ensures that it remains at the forefront of the data science realm, making it an essential platform for students, scholars, and practitioners aiming to deepen their understanding and contribute to the scientific community.
JOURNAL OF COMPUTATIONAL PHYSICS
Unveiling New Dimensions in Applied MathematicsJOURNAL OF COMPUTATIONAL PHYSICS, an esteemed publication from ACADEMIC PRESS INC ELSEVIER SCIENCE, serves as a premier platform in the field of computational physics and its interdisciplinary applications. Since its inception in 1966, the journal has provided invaluable insights and significant advancements in areas such as applied mathematics, numerical analysis, and modeling and simulation. With a robust impact factor and ranking in the top quartile across various related categories, including Q1 in Applied Mathematics and Physics and Astronomy, it is essential reading for researchers and professionals aiming to stay at the forefront of computational techniques and methodologies. Although the journal is not open access, it remains highly regarded with a reputation for rigorous peer review and high-quality publications. As the field continues to evolve, the JOURNAL OF COMPUTATIONAL PHYSICS highlights innovative research that not only advances theoretical constructs but also offers practical applications in scientific and engineering domains. For scholars and students, this journal embodies a critical resource for deepening their understanding and fostering dialogue within the scientific community.
WAVE MOTION
Pioneering Research in Wave Dynamics Since 1979WAVE MOTION is a premier scholarly journal published by Elsevier, dedicated to the interdisciplinary study of wave phenomena across various scientific domains. With an ISSN of 0165-2125 and an E-ISSN of 1878-433X, this journal has been a significant contributor to the field since its inception in 1979, continuing to expand knowledge in Applied Mathematics, Computational Mathematics, Modeling and Simulation, and Physics and Astronomy. Located in the Netherlands, WAVE MOTION ranks impressively within the top quartiles (Q2) of its categories, showcasing its influence and relevance, as evidenced by its Scopus rankings: #133 in Applied Mathematics and #51 in Computational Mathematics, among others. Although the journal follows a subscription-based model, its commitment to high-quality research makes it a valuable resource for researchers, professionals, and students alike. As it approaches its convergence years through 2024, WAVE MOTION remains a critical platform for the dissemination of innovative findings and theoretical advancements in wave motion studies.
Journal of Applied Mathematics & Informatics
Innovating Solutions through Applied Mathematics and Informatics.Journal of Applied Mathematics & Informatics is a peer-reviewed academic journal published by the Korean Society of Computational & Applied Mathematics (KSCAM), focusing on the integration and application of mathematical theories and computational techniques across various domains. Established in 2019, this journal serves as a platform for researchers, professionals, and students to share innovative methodologies, practical applications, and theoretical advancements in fields like analysis, applied mathematics, and computational theory. As a Q4 ranked journal according to the 2023 category quartiles in analysis, applied mathematics, computational mathematics, and miscellaneous mathematics, it provides a valuable, albeit niche, contribution to the academic landscape. While the journal currently operates without open access options, it aims to disseminate quality research to foster collaboration and knowledge exchange within the mathematics and computer science communities. Researchers looking to explore emerging trends and methodologies in applied mathematics and informatics will find an essential resource in this journal, which is based in Daejeon, South Korea.