Inverse Problems - Institute of Physics Publishing | 2024 Impact Factor:2.1 | Cite Score:3.3 | Q1

Impact Factor and Journal Rank of Inverse Problems

• About: Inverse Problems is a leading journal published by the Institute of Physics Publishing, dedicated to the field of inverse problems. The journal focuses on the theoretical, computational, and applied aspects of inverse problems, providing a platform for high-quality research articles, review papers, and methodological advancements in this interdisciplinary field.
• Objective: The primary objective of Inverse Problems is to advance the understanding and solution of inverse problems across various scientific and engineering disciplines. The journal aims to foster the development of innovative techniques and approaches for solving inverse problems, which are crucial for interpreting indirect measurements and data in numerous applications.
• Interdisciplinary Focus: Inverse Problems covers a broad spectrum of topics, including but not limited to mathematical and statistical methods, computational techniques, and practical applications in fields such as physics, engineering, geophysics, medical imaging, and more. The journal encourages contributions that bridge the gap between theory and practice, promoting interdisciplinary collaboration and knowledge transfer.
• Global Reach and Impact: As a respected international journal, Inverse Problems attracts submissions from researchers and practitioners worldwide. The journal global reach and rigorous peer-review process ensure that it publishes influential and impactful research, contributing to the advancement of the field on a global scale. By providing open access to its content, the journal enhances the visibility and accessibility of published work.
• High Standards and Rigorous Review: Inverse Problems maintains high standards through a stringent peer-review process, involving expert reviewers from various disciplines. The journal commitment to quality and scientific integrity ensures that only significant and well-conducted research is published. This rigorous review process upholds the journal reputation as a trusted source of knowledge in the field.
• Significance: Inverse Problems plays a crucial role in advancing the field by publishing cutting-edge research that addresses fundamental challenges and real-world applications of inverse problems. The journal serves as an essential resource for researchers, educators, and practitioners, promoting the development and dissemination of new methods and solutions that have a profound impact on science and technology.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Otmar Scherzer

• Scope: The Inverse Problems Journal is a peer-reviewed journal published by the Institute of Physics Publishing. It focuses on the latest research and developments in the field of inverse problems, providing a platform for researchers, practitioners, and academics to share their findings and advancements. Below are the key focus areas and scope of the journal:
• 1. Theoretical Aspects of Inverse Problems:
  Research on the mathematical and theoretical foundations of inverse problems.
  Studies on uniqueness, stability, and solvability of inverse problems.
  Advances in functional analysis, partial differential equations, and mathematical modeling related to inverse problems.
• 2. Numerical Methods and Algorithms:
  Development and analysis of numerical methods for solving inverse problems.
  Research on iterative methods, regularization techniques, and optimization algorithms.
  Advances in computational approaches and software for inverse problem solutions.
• 3. Applications in Science and Engineering:
  Exploration of inverse problems in various scientific and engineering disciplines.
  Studies on applications in medical imaging, geophysics, non-destructive testing, and remote sensing.
  Advances in practical implementations and real-world case studies.
• 4. Imaging and Tomography:
  Research on inverse problems in imaging modalities such as X-ray, MRI, and ultrasound.
  Studies on tomographic reconstruction, image processing, and enhancement techniques.
  Advances in multimodal imaging and fusion of imaging data.
• 5. Parameter and State Estimation:
  Exploration of methods for parameter estimation and state reconstruction in dynamic systems.
  Research on inverse problems in control theory, signal processing, and system identification.
  Advances in data assimilation, filtering, and real-time estimation techniques.
• 6. Inverse Scattering and Wave Propagation:
  Studies on inverse scattering problems for acoustic, electromagnetic, and elastic waves.
  Research on wave propagation models, inverse scattering theories, and computational methods.
  Advances in applications to radar, sonar, and optical systems.
• 7. Inverse Problems in Physics:
  Exploration of inverse problems in various branches of physics, including quantum mechanics, astrophysics, and plasma physics.
  Research on experimental techniques, data analysis, and interpretation in physical sciences.
  Advances in theoretical and computational methods for physical inverse problems.
• 8. Machine Learning and Data-driven Approaches:
  Research on the integration of machine learning and data-driven methods with inverse problems.
  Studies on deep learning, neural networks, and artificial intelligence for solving inverse problems.
  Advances in hybrid approaches combining traditional and data-driven techniques.
• 9. Uncertainty Quantification and Error Analysis:
  Exploration of uncertainty quantification methods in inverse problems.
  Research on error analysis, sensitivity analysis, and robustness of inverse solutions.
  Advances in probabilistic and statistical approaches for inverse problems.
• 10. Special Topics and Emerging Areas:
  Studies on emerging topics and novel applications of inverse problems.
  Research on interdisciplinary approaches and collaboration in inverse problem-solving.
  Advances in innovative methodologies and future directions in the field.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  0266-5611

  Electronic ISSN:  

• Abstracting and Indexing:  SCOPUS, Science Citation Index Expanded

• Imapct Factor 2024:  2.1

• Subject Area and Category:  Computer Science,Computer Science Applications,Signal Processing,Mathematics,Applied Mathematics,Mathematical Physics,Theoretical Computer Science

• Publication Frequency:  

• H Index:  133

• Best Quartile:

  Q1:  Applied Mathematics

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  3.3

• SNIP:  1.217

• Journal Rank(SJR):  0.898

• Latest Articles:   Latest Articles in Inverse Problems

• Guidelines for Authors: Inverse Problems Author Guidelines

• Paper Submissions: Paper Submissions in Inverse Problems

• Publisher:  IOP Publishing Ltd.

  Country:  United Kingdom

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