| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Environmental Sciences | 28 | 1242 | 2939 | 66 |
| Earth Science | 37 | 320 | 858 | 40 |
The journal investigates areas of study like Atmospheric sciences, Meteorology, Climatology, Climate model and Aerosol. It explores topics in Atmospheric sciences which can be helpful for research in disciplines like Atmosphere, Ozone, Atmospheric chemistry and Vegetation. Most of the Meteorology studies addressed also intersect with Satellite.
The research on Climatology tackled can also make contributions to studies in the areas of Climate change, Precipitation and Coupled model intercomparison project. While the journal focused on Climate model, it was also able to explore topics like Downscaling and Earth system science. The study on Air quality index featured in Geoscientific Model Development expounds on the topic of CMAQ in particular.
The journal articles mainly deal with areas of study such as Climatology, Meteorology, Atmospheric sciences, Climate model and Climate change. While Climatology is the focus of the published articles, it also provides insights into the studies of Atmosphere, Precipitation and Coupled model intercomparison project. The published articles focus on Meteorology but the discussions also offer insight into other areas such as Satellite and Earth system science.
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 Geoscientific Model Development (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 Geoscientific Model Development (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, 5.38% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.55% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.77% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.05% of all publications and 38.64% 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.
Malte Meinshausen;Malte Meinshausen;Zebedee R. J. Nicholls;Jared Lewis;Matthew J. Gidden
(2020)George C. Hurtt;Louise Chini;Ritvik Sahajpal;Steve Frolking
(2020)Unknown
(2022)Øyvind Seland;Mats Bentsen;Dirk Jan Leo Oliviè;Thomas Toniazzo;Thomas Toniazzo
(2020)Tomohiro Hajima;Michio Watanabe;Akitomo Yamamoto;Hiroaki Tatebe
(2020)Unknown
(2020)Hannes Müller Schmied;Denise Cáceres;Stephanie Eisner;Martina Flörke
(2021)Björn Maronga;Björn Maronga;Sabine Banzhaf;Cornelia Burmeister;Thomas Esch
(2020)Julien Brajard;Alberto Carrassi;Marc Bocquet;Laurent Bertino
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