| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Earth Science | 579 | 8 | 8 | 4 |
The journal explores disciplines such as Nonlinear system, Classical mechanics, Meteorology, Statistical physics and Mechanics. The studies in Nonlinear system featured incorporate elements of Amplitude, Mathematical analysis and Applied mathematics. Classical mechanics research featured in Nonlinear Processes in Geophysics incorporates concerns from various other topics such as Computational physics, Magnetohydrodynamics, Magnetic field, Turbulence and Vortex.
It focuses on Computational physics but the discussions also offer insight into other areas such as Solar wind and Plasma. It connects research in Magnetic field with the related topic of Electron. The Meteorology works, particularly on Precipitation are tackled in it.
Nonlinear Processes in Geophysics facilitates discussions on Statistical physics that incorporate concepts from other fields like Statistics, Predictability, Series (mathematics) and Scaling. The research on Scaling discussed in the journal draws on the closely related field of Multifractal system. Instability is a primary topic of Mechanics research in it.
The most cited publications mostly deal with topics like Statistical physics, Meteorology, Nonlinear system, Statistics and Classical mechanics. The works on Nonlinear system tackled in the journal papers bring together disciplines like Amplitude, Algorithm, Quantum electrodynamics and Mathematical analysis. The journal articles explore research in Turbulence and overlapping concepts in Solar wind to expand the discourse in Classical mechanics.
The journal mainly deals with areas of study such as Algorithm, Data assimilation, Nonlinear system, Applied mathematics and Series (mathematics). The studies on Algorithm discussed can also contribute to research in the domains of Inverse problem, Interpolation, Sampling (statistics), Function (mathematics) and Focus (optics). In addition to Data assimilation research, Nonlinear Processes in Geophysics aims to explore topics under Variational method, Iterative method, Ensemble Kalman filter, Space (mathematics) and Euclidean distance.
Nonlinear system research presented in Nonlinear Processes in Geophysics encompasses a variety of subjects, including Displacement (vector), Turbulence, Eddy, Ridge and Wavelet. The work on Applied mathematics tackled in the journal brings together disciplines like Subspace topology, Linear approximation, Covariance, Covariance matrix and Kalman filter. While Nonlinear Processes in Geophysics focused on Series (mathematics), it was also able to explore topics like Phase space, Edit distance, Statistical physics, System dynamics and Anisotropy.
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 Nonlinear Processes in Geophysics (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 Nonlinear Processes in Geophysics (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, 15.62% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.93% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.41% of all publications and 48.15% 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.
João H. Bettencourt;Vincent Rossi;Lionel Renault;Peter Haynes
(2020)David Wichmann;Christian Kehl;Henk A. Dijkstra;Erik van Sebille
(2021)David Wichmann;Christian Kehl;Henk A. Dijkstra;Erik van Sebille
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