| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 600 | 10 | 9 | 4 |
| Earth Science | 613 | 10 | 10 | 3 |
| Engineering and Technology | 1333 | 7 | 7 | 4 |
Gem - International Journal on Geomathematics is mainly concerned with subjects like Mathematical analysis, Computational Science and Engineering, Applied mathematics, Algorithm and Inverse problem. The Mathematical analysis study featured in Gem - International Journal on Geomathematics draws connections with the study of Nonlinear system. Aside from Computational Science and Engineering, it also covered works in the field of Geometry.
Gem - International Journal on Geomathematics explores topics in Applied mathematics which can be helpful for research in disciplines like Basis function, Flow (mathematics) and Mathematical optimization. The journal investigates Basis function research which frequently intersects with Grid. The journal addresses concerns in Inverse problem which are intertwined with other disciplines, such as Regularization (mathematics) and Inversion (meteorology).
The research on Discretization discussed in Gem - International Journal on Geomathematics draws on the closely related field of Fracture (geology). Research on Spherical harmonics addressed in the journal frequently intersections with the field of Gravitational field.
The most cited papers explore disciplines such as Mathematical analysis, Basis function, Computational Science and Engineering, Applied mathematics and Discontinuous Galerkin method. While work presented in the journal publications provide substantial information on Mathematical analysis, it also covers topics in Geometry, Cartesian coordinate system and Linear elasticity. The journal publications facilitate discussions on Basis function that incorporate concepts from other fields like Discretization and Grid.
The objective of Gem - International Journal on Geomathematics is to combine knowledge in the areas of Applied mathematics, Flow (mathematics), Fractal, Mathematical analysis and Artificial neural network. It holds forums on Applied mathematics that merges themes from other disciplines such as Differential (infinitesimal), Frequentist inference, Covariance matrix, Estimator and Upper and lower bounds. Topics in Flow (mathematics) explored in it were investigated in conjunction with research in Multiphysics, Variational analysis and Multiphase flow.
The journal addresses concerns in the field of Fractal by exploring it in line with topics in Variational principle which intersect with Conserved quantity subjects. Some problems in Mathematical analysis that were presented in Gem - International Journal on Geomathematics overlapped with concepts under Soliton and Trigonometric functions. The study of Artificial neural network encompasses disciplines such as Uncertainty quantification, as well as fields such as Regression, Regression problems, Discrete fracture and Discontinuous Galerkin method, all of which overlap with one another.
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 Gem - International Journal on Geomathematics (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 Gem - International Journal on Geomathematics (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, 9.52% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.53% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 47.37% of all publications and 42.11% 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.
Nikoletta Rozgonyi-Boissinot;Ildikó Buocz;István Gábor Hatvani;Ákos Török
(2021)Alexander Litvinenko;Dmitriy Logashenko;Raúl Tempone;Raúl Tempone;Gabriel Wittum
(2020)Suraj Pawar;Omer San;Adil Rasheed;Ionel M. Navon
(2021)Matteo Icardi;Marco Dentz
(2020)André Horbach;Marcus Mohr;Hans-Peter Bunge
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