| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 39 | 75 | 190 | 25 |
| Engineering and Technology | 569 | 35 | 79 | 15 |
The journal aims to foster the development of research in Mathematical analysis, Inverse problem, Applied mathematics, Inverse scattering problem and Algorithm. The Mathematical analysis works featured in the journal incorporate elements from Scattering, Boundary (topology) and Inverse. The presentations focused mostly on Scattering in an attempt to further explore topics in Optics.
The journal connects research in Inverse with the related topic of Eigenvalues and eigenvectors. The journal holds forums on Inverse problem that merges themes from other disciplines such as Regularization (mathematics), Mathematical optimization and Nonlinear system. Backus–Gilbert method and Regularization perspectives on support vector machines are all topics related to Regularization (mathematics) research discussed.
The study on Applied mathematics presented in the journal intersects with the topics under Convergence (routing). The work on Inverse scattering problem presented in it focuses on Inverse scattering transform in particular. In addition to Algorithm research, it aims to explore topics under Inversion (meteorology) and Iterative reconstruction.
The published articles primarily focus on research topics in Mathematical analysis, Inverse problem, Mathematical optimization, Algorithm and Applied mathematics. The most cited articles explore research in Scattering and overlapping concepts in Plane wave to expand the discourse in Mathematical analysis. The journal publications focus on Inverse problem but sometimes tackle the closely related topic of Regularization (mathematics) which is concerned with Well-posed problem.
The foci of Inverse Problems are Applied mathematics, Inverse problem, Mathematical analysis, Algorithm and Inverse. Inverse Problems facilitates discussions on Applied mathematics that incorporate concepts from other fields like Regularization (mathematics), Tikhonov regularization, Monotonic function and Nonlinear system. The studies in Inverse problem featured incorporate elements of Tomography, Representation (mathematics) and Eigenvalues and eigenvectors.
Issues in Mathematical analysis were discussed, taking into consideration concepts from other disciplines like Isotropy and Boundary (topology). While work presented in the journal provided substantial information on Algorithm, it also covered topics in Projection (set theory), Posterior probability, Bayesian probability, Function (mathematics) and Iterative reconstruction. The concepts on Inverse presented in Inverse Problems can also apply to other research fields, including Inverse scattering problem, Boundary value problem and Lipschitz continuity.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Inverse Problems (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Inverse Problems (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 65.71% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.42% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.83% of all publications and 64.58% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Housen Li;Johannes Schwab;Stephan Antholzer;Markus Haltmeier
(2020)Quentin Denoyelle;Vincent Duval;Gabriel Peyré;Emmanuel Soubies
(2020)Emilia Blåsten;Hongyu Liu
(2020)Afonso S. Bandeira;Yutong Chen;Roy R. Lederman;Amit Singer
(2020)Stanislaw Migorski;Stanislaw Migorski;Akhthar A Khan;Shengda Zeng;Shengda Zeng
(2020)Amit Moscovich;Amit Halevi;Joakim Andén;Amit Singer
(2020)Vo Anh Khoa;Grant W. Bidney;Michael V. Klibanov;Loc H. Nguyen
(2020)Nir Sharon;Joe Kileel;Yuehaw Khoo;Boris Landa
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