| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 1295 | 11 | 12 | 4 |
The journal covers a variety of subjects, including Inverse problem, Mathematical analysis, Mathematical optimization, Inverse and Applied mathematics. Inverse problem research featured in it incorporates concerns from various other topics such as Identification (information), Estimation theory, Algorithm, Finite element method and Nonlinear system. Inverse Problems in Science and Engineering holds forums on Mathematical analysis that merges themes from other disciplines such as Regularization (mathematics) and Boundary (topology).
Specifically, studies on Genetic algorithm are prevalent in the Mathematical optimization works discussed.
The journal papers focus largely on the fields of Mathematical analysis, Inverse problem, Mathematical optimization, Inverse and Regularization (mathematics). The published papers explore topics in Mathematical analysis which can be helpful for research in disciplines like Method of fundamental solutions and Boundary (topology). The works on Mathematical optimization tackled in the published papers bring together disciplines like Algorithm, Applied mathematics and Identification (information).
The foci of the journal are Inverse problem, Mathematical analysis, Applied mathematics, Inverse and Regularization (mathematics). Topics in Inverse problem were tackled in line with various other fields like Nonlinear programming, Work (thermodynamics), Algorithm, Particle swarm optimization and Fractional diffusion. Inverse Problems in Science and Engineering features Mathematical analysis research that overlaps with concepts in Boundary (topology).
The studies on Applied mathematics discussed can also contribute to research in the domains of Function (mathematics), Nonlinear system, Uniqueness and Identification (information). The work on Inverse addressed in the journal expands to the thematically related Eigenvalues and eigenvectors. Tikhonov regularization is the primary subject of Regularization (mathematics) works presented in the journal.
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 in Science and Engineering (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 in Science and Engineering (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, 7.97% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.75% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.81% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.24% of all publications and 62.20% 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.
J. Hajishafieiha;S. Abbasbandy
(2020)Zhen Chen;Zhen Wang;Zhihao Wang;Tommy H.T. Chan
(2021)M. Heydari;S. A. Shahzadeh Fazeli;S. M. Karbassi;M. R. Hooshmandasl
(2020)Mehdi Dehghan;Nasim Shafieeabyaneh;Mostafa Abbaszadeh
(2021)Mohammad Hossein Noorsalehi;Mahdi Nili-Ahmadabadi;Kyung Chun Kim
(2021)Talaat Abdelhamid;Rongliang Chen;Md. Mahbub Alam
(2021)Iman Tabatabaei Ardekani;Jari Kaipio;Daniel Castello
(2021)A. Miller;A. J. Mullholland;K.M.M. Tant;S.G. Pierce
(2021)Atefeh Kariminia;Mahdi Nili-Ahmadabadi;Kyung Chun Kim
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