Journal of Inverse and Ill-Posed Problems

Scope & Guideline

Catalyzing Insights in Inverse Problem Research

Introduction

Welcome to the Journal of Inverse and Ill-Posed Problems information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Journal of Inverse and Ill-Posed Problems, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0928-0219
PublisherWALTER DE GRUYTER GMBH
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 1993 to 2024
AbbreviationJ INVERSE ILL-POSE P / J. Inverse Ill-Posed Probl.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressGENTHINER STRASSE 13, D-10785 BERLIN, GERMANY

Aims and Scopes

The Journal of Inverse and Ill-Posed Problems focuses on theoretical and applied research in the field of inverse problems, with a particular emphasis on mathematical models and methodologies for solving ill-posed problems. The journal serves as a platform for disseminating new techniques and advancements in understanding and addressing the complexities of inverse problems across various disciplines.
  1. Inverse Problem Formulation and Analysis:
    The journal emphasizes the development of mathematical formulations for inverse problems, exploring their properties, uniqueness, and stability. This includes a variety of mathematical methods and theories applied to inverse problems in physics, engineering, and applied mathematics.
  2. Regularization Techniques:
    A core area of research involves the application and development of regularization methods to handle ill-posedness of inverse problems. This includes Tikhonov regularization, iterative methods, and adaptive approaches to ensure stability and convergence of solutions.
  3. Numerical Methods and Algorithms:
    The journal publishes studies on numerical techniques and algorithms used to solve inverse problems, including iterative methods, optimization techniques, and computational algorithms designed to improve efficiency and accuracy in real-world applications.
  4. Applications of Inverse Problems:
    Research published in the journal covers a wide range of applications, including medical imaging, geophysics, materials science, and environmental modeling, demonstrating the interdisciplinary nature of inverse problems.
  5. Theoretical Developments in Inverse Problems:
    The journal highlights theoretical advancements related to inverse problems, including new mathematical insights, stability results, and innovative approaches to complex problems that arise in various scientific contexts.
The Journal of Inverse and Ill-Posed Problems has witnessed the emergence of several new themes that reflect the evolving landscape of research in inverse problems. These trending scopes indicate a growing interest in innovative methodologies and applications.
  1. Machine Learning and Data-Driven Approaches:
    There is a significant increase in studies applying machine learning techniques to inverse problems, showcasing the integration of artificial intelligence in enhancing solution accuracy and efficiency.
  2. Fractional Calculus and Fractional Differential Equations:
    Recent publications have increasingly focused on inverse problems involving fractional calculus, highlighting a trend towards exploring the complexities and applications of fractional differential equations in modeling real-world phenomena.
  3. Hybrid and Multi-Scale Methods:
    Emerging themes include the development of hybrid methodologies that combine different mathematical techniques or scales, allowing for more robust and adaptable solutions to complex inverse problems.
  4. Applications to COVID-19 and Public Health:
    The journal has seen a surge in research addressing inverse problems related to COVID-19 modeling and public health, reflecting the urgency and relevance of these topics in contemporary research.
  5. Neural Networks and Surrogate Modeling:
    There is a growing trend towards utilizing neural networks and surrogate models to tackle inverse problems, emphasizing the shift towards computationally efficient and effective solutions.

Declining or Waning

While the journal has a diverse range of topics, some areas have shown a decline in focus over recent years. These waning scopes may reflect shifts in research priorities or advancements in methodologies that render previous approaches less relevant.
  1. Traditional Inverse Scattering Methods:
    There has been a noticeable decline in publications focused on classical inverse scattering methods, as newer techniques and hybrid approaches gain traction. This reflects a shift towards more sophisticated and adaptive algorithms that can better handle complex data.
  2. Basic Regularization Techniques:
    Basic regularization methods, once a predominant focus, are now less frequently addressed in favor of more advanced and tailored regularization strategies that account for specific problem characteristics and noise levels.
  3. Single-Disciplinary Approaches:
    Research that strictly adheres to traditional single-disciplinary approaches has decreased, with a growing trend towards interdisciplinary studies that incorporate methodologies from various fields, such as data science and machine learning.

Similar Journals

Numerical Analysis and Applications

Advancing computational frontiers through numerical innovation.
Publisher: SIBERIAN BRANCH RUSSIAN ACAD SCIENCESISSN: 1995-4239Frequency: 4 issues/year

Numerical Analysis and Applications is a prominent journal dedicated to advancing the field of numerical analysis, published by the Siberian Branch of the Russian Academy of Sciences. Established in 2009, and running through to 2024, this scholarly publication serves as a vital resource for researchers, professionals, and students involved in the mathematical sciences. The journal’s impact is underscored by its classification in the Q3 quartile for numerical analysis within the latest metrics, reflecting its significance in the academic community, although it presently ranks 74 out of 88 in the numerical analysis category, representing a 16th percentile. With a broad scope that encompasses innovative methodologies and applications in numerical techniques, the journal aims to foster interdisciplinary collaboration and share pivotal advancements in numerical theory and practice. Access options may vary, thus offering opportunities for both traditional and contemporary researchers to engage with cutting-edge content that is crucial for driving forward the computational sciences.

Results in Applied Mathematics

Connecting Researchers to Transform Mathematical Discoveries
Publisher: ELSEVIERISSN: 2590-0374Frequency: 4 issues/year

Results in Applied Mathematics, published by Elsevier, stands as a vital resource in the field of applied mathematics, demonstrating strong academic rigor with an impressive Q2 ranking in its category for 2023. With an ISSN of 2590-0374 and an E-ISSN of 2590-0374, this open-access journal, established in 2019, provides an innovative platform for researchers, professionals, and students to disseminate and access cutting-edge research findings. The journal is indexed in Scopus, ranking #210 out of 635 in the applied mathematics category, placing it in the top 67th percentile of its field. With an aim to bridge theory and practice, Results in Applied Mathematics covers a diverse range of topics, fostering collaborations and providing insights that are integral to the advancement of mathematical applications across various disciplines.

Vestnik Samarskogo Gosudarstvennogo Tekhnicheskogo Universiteta-Seriya-Fiziko-Matematicheskiye Nauki

Bridging Theory and Application in Physics and Mathematics
Publisher: SAMARA STATE TECHNICAL UNIVISSN: 1991-8615Frequency: 4 issues/year

Vestnik Samarskogo Gosudarstvennogo Tekhnicheskogo Universiteta-Seriya-Fiziko-Matematicheskiye Nauki is a distinguished academic journal published by SAMARA STATE TECHNICAL UNIVERSITY, specializing in the fields of physics and mathematics. With an ISSN of 1991-8615 and an E-ISSN of 2310-7081, this journal has provided an open access platform since 2006, fostering the dissemination of innovative research and developments within the international scientific community. It has made significant strides in its impact and relevance, achieving a Q3 ranking across various categories including Analysis, Applied Mathematics, Condensed Matter Physics, and Mathematical Physics, as of 2023. Located in Samara, Russian Federation, the journal serves as a vital resource for researchers and professionals, offering insights that bridge theoretical frameworks and practical applications. With its commitment to advancing knowledge in mechanics, modeling, and simulation, the journal not only enhances academic discourse but also supports the growth of emerging talents in the field. For those seeking to explore cutting-edge studies and contribute to meaningful scientific discussions, Vestnik Samarskogo Gosudarstvennogo Tekhnicheskogo Universiteta-Seriya-Fiziko-Matematicheskiye Nauki stands out as an essential publication.

Journal of Mathematics and Computer Science-JMCS

Bridging Disciplines to Inspire Groundbreaking Discoveries
Publisher: INT SCIENTIFIC RESEARCH PUBLICATIONSISSN: 2008-949XFrequency: 4 issues/year

Journal of Mathematics and Computer Science (JMCS) is a leading academic journal published by INT SCIENTIFIC RESEARCH PUBLICATIONS, dedicated to advancing research in the interdisciplinary realms of mathematics and computer science. Established with a commitment to open science, JMCS provides a platform for innovative studies and original research, covering topics in computational mathematics, computational mechanics, and various applications of computer science. The journal, indexed in prominent databases, has achieved notable rankings, including Q3 in Computational Mathematics and Q2 in Mathematics (miscellaneous) as of 2023, highlighting its influence and relevance in the academic community. With an emphasis on fostering collaboration among researchers, professionals, and students, JMCS serves as both a resource and a conduit for groundbreaking discoveries. The journal encourages submissions that push the boundaries of knowledge and offers accessible options for sharing your work with the global research community.

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION

Fostering collaboration in the evolving landscape of applied mathematics.
Publisher: TAYLOR & FRANCIS INCISSN: 0163-0563Frequency: 12 issues/year

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, published by Taylor & Francis Inc, is a premier international journal dedicated to advancing the fields of analysis, optimization, and applied mathematics. With its ISSN 0163-0563 and E-ISSN 1532-2467, this journal has established itself as a vital resource for researchers and practitioners seeking to explore innovative methodologies and applications. Covering a broad spectrum of topics intersecting mathematical analysis and computer science, it has consistently ranked in the Q2 tier for Analysis and Control and Optimization categories and is well-regarded in the communities of Signal Processing and Computer Science Applications. The journal's commitment to publishing high-quality research ensures significant contributions to solving complex problems in various fields, making it an essential reference for students, academics, and industry professionals. With a publishing history dating back to 1979, it encourages the dissemination of groundbreaking ideas and practical methodologies, fostering a collaborative academic environment. Access to the published articles may vary, so contributors and readers are encouraged to engage with the latest findings and ongoing research through the journal’s platform.

SIAM Journal on Imaging Sciences

Pioneering Research in Imaging Sciences and Mathematics.
Publisher: SIAM PUBLICATIONSISSN: 1936-4954Frequency: 4 issues/year

SIAM Journal on Imaging Sciences is a prestigious academic journal published by SIAM PUBLICATIONS, focusing on the latest advancements and applications in imaging sciences within the fields of applied and general mathematics. Since its inception in 2008, the journal has established itself as a premier outlet for original research, evidenced by its remarkable standing in the academic community, including a Q1 ranking in both Applied Mathematics and Mathematics (miscellaneous) for 2023. With a Scopus rank of #45 in General Mathematics and an 88th percentile achievement, the journal continues to attract high-quality contributions, making it a vital resource for researchers, professionals, and students eager to stay at the forefront of imaging science developments. Although not currently open access, the journal provides significant visibility through its rigorous peer-review process and commitment to scholarly excellence, ensuring that published works contribute substantially to knowledge in the field. For those looking to delve into innovative imaging techniques or mathematical modeling approaches, the SIAM Journal on Imaging Sciences remains an essential reference point.

Mathematical Foundations of Computing

Fostering Collaboration through Cutting-edge Mathematical Research
Publisher: AMER INST MATHEMATICAL SCIENCES-AIMSISSN: Frequency: 4 issues/year

Mathematical Foundations of Computing, published by the American Institute of Mathematical Sciences (AIMS), is a distinguished open-access journal that has been actively disseminating influential research in the fields of Artificial Intelligence, Computational Mathematics, Computational Theory and Mathematics, and Theoretical Computer Science since its inception in 2009. With its E-ISSN 2577-8838, this journal is committed to providing researchers and practitioners with cutting-edge mathematical theories and methodologies that underpin modern computational practices, which is critical for advancing the field. The journal proudly holds a Q3 categorization in several relevant domains as of 2023, reflecting its contribution and accessibility amid an evolving academic landscape. By offering open access to its content, it ensures that vital research is freely available to a global audience, enhancing collaboration and innovation. Positioned in the heart of the United States, Mathematical Foundations of Computing serves as a crucial resource for advancing knowledge and fostering discussions among researchers, professionals, and students passionate about the mathematical underpinnings of computing.

EXPERIMENTAL MATHEMATICS

Illuminating Mathematical Frontiers through Experimentation
Publisher: TAYLOR & FRANCIS INCISSN: 1058-6458Frequency: 4 issues/year

EXPERIMENTAL MATHEMATICS is a distinguished journal published by Taylor & Francis Inc, dedicated to the burgeoning field of mathematics with a special focus on experimental methodologies that illuminate mathematical theories and applications. With an ISSN of 1058-6458 and an E-ISSN of 1944-950X, this journal has been pivotal in advancing research from 1992 to 2024, achieving an impressive Q2 ranking in the Mathematics category for 2023. It serves as a vital platform for researchers and practitioners to share innovative experimental results that contribute to mathematical understanding and training. Although it operates on a subscription basis, the journal is accessible to a broad audience within the mathematical community, boasting a Scopus rank of #153 out of 399 in General Mathematics, placing it in the 61st percentile. Research published in EXPERIMENTAL MATHEMATICS not only enhances academic discourse but also fosters collaboration between theoretical and applied mathematicians, making it an essential resource for students, professionals, and researchers alike.

JOURNAL OF HEURISTICS

Connecting theory and practice in the world of heuristics.
Publisher: SPRINGERISSN: 1381-1231Frequency: 6 issues/year

JOURNAL OF HEURISTICS, published by Springer, is a prominent platform dedicated to advancing the field of heuristics in various domains such as Artificial Intelligence, Computer Networks and Communications, Control and Optimization, Information Systems, and Management Science and Operations Research. With a dedicated ISSN of 1381-1231, this journal plays a crucial role in disseminating innovative research and methodologies that push the boundaries of these interconnected fields. Holding a notable Q2 ranking in multiple disciplines and a Q3 ranking in Artificial Intelligence for 2023, this journal stands out particularly in niche areas, evidenced by its strong Scopus rankings, with high percentiles reflecting its impact and reach. Although the journal is not an Open Access publication, it continues to serve as an invaluable resource for researchers, professionals, and students eager to explore and utilize heuristic approaches in solving complex problems. With converging years from 1995 to 2024, it offers a wealth of historical data and contemporary advancements, making it a key reference point in the academic community.

JOURNAL OF COMPUTATIONAL MATHEMATICS

Fostering Collaboration for Mathematical Excellence
Publisher: GLOBAL SCIENCE PRESSISSN: 0254-9409Frequency: 6 issues/year

JOURNAL OF COMPUTATIONAL MATHEMATICS, published by GLOBAL SCIENCE PRESS, is a distinguished peer-reviewed academic journal dedicated to advancing the field of computational mathematics. With a focus on high-quality research that bridges theoretical and practical applications, this journal aims to disseminate innovative methodologies and robust algorithms that address complex mathematical problems. Operating without an open-access model, it maintains a reputable standing with a Q2 category classification in computational mathematics as of 2023, showcasing its influence and relevance within the academic community. The journal, which has been in publication since 1996, continues to evolve, providing a platform for researchers, practitioners, and students to engage with cutting-edge developments up to 2024. By contributing to the body of knowledge in computational mathematics, this journal plays a vital role in fostering collaboration and advancement in related disciplines.