| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Physics | 155 | 71 | 45 | 12 |
The journal facilitates discussions on Algorithm, Software, Python (programming language), Galaxy and Artificial intelligence. The work on Software tackled in the journal brings together disciplines like LOFAR, Radio telescope and Computer graphics (images). The journal dives deep in exploring the relationship between the study of Computer graphics (images) and Visualization.
Python (programming language) research presented in Astronomy and Computing encompasses a variety of subjects, including Computational science and Scripting language. While it focused on Galaxy, it was also able to explore topics like Dark matter and Sky. While work presented in it provided substantial information on Artificial intelligence, it also covered topics in Machine learning and Pattern recognition.
The journal publications investigate studies in Algorithm, Galaxy, Python (programming language), Software and Astrophysics. While Galaxy is the focus of the journal papers, it also provides insights into the studies of Statistical physics, Dark matter, Sky and Pattern recognition. The works on Astrophysics tackled in the published papers bring together disciplines like Radius and Code (cryptography).
The primary areas of discussion in the journal are Algorithm, Artificial intelligence, Python (programming language), Artificial neural network and Galaxy. It facilitates discussions on Algorithm that incorporate concepts from other fields like Data processing and Inference. The research on Artificial intelligence tackled can also make contributions to studies in the areas of Machine learning, Sunspot and Pattern recognition.
In addition to Python (programming language) research, the journal aims to explore topics under Computational science, Code (cryptography), Bayesian inference, Photometry (optics) and Nearest neighbor search. Issues in Artificial neural network were discussed, taking into consideration concepts from other disciplines like Shadow, Black hole and Scale (descriptive set theory). In it, Stars, Theoretical computer science, Astronomical Phenomena and Astronomical Objects are investigated in conjunction with one another to address concerns in Galaxy research.
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 Astronomy and Computing (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 Astronomy and Computing (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, 2.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.45% of all publications and 51.02% 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.
Peter Camps;Maarten Baes
(2020)Paulo H. Barchi;Paulo H. Barchi;R. R. de Carvalho;Reinaldo R. Rosa;R. A. Sautter
(2020)Pau Tallada;Jorge Carretero;Jordi Casals;Carles Acosta-Silva
(2020)Chirag Modi;Francois Lanusse;Uros Seljak;Uros Seljak
(2021)M. Taghizadeh-Popp;J.W. Kim;G. Lemson;D. Medvedev
(2020)Arrykrishna Mootoovaloo;Andrew H. Jaffe;Alan F. Heavens;Florent Leclercq
(2022)S. Farrens;S. Farrens;A. Grigis;L. El Gueddari;Z. Ramzi;Z. Ramzi
(2020)Yu-Ling Chang;Carlos H. Brandt;Paolo Giommi
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