Published by: MDPI
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 672 | 22 | 23 | 8 |
The main points discussed in the journal deals with Demography, Art history, Obituary, Nonlinear system and Effector. Computation (Basel) holds forums on Nonlinear system that merges themes from other disciplines such as Control theory, DC motor and Feed forward. Computation (Basel) held discussions to help close the divide between the fields of Effector and Lymph, Lymph node, CD8, Antigen-presenting cell and Bioinformatics.
The journal focused on works that combine foundational knowledge of Lymph with components of disciplines like Cellular Potts model and IL-2 receptor. The journal aims to facilitate interdisciplinary discussions involving Process (computing) as well as topics like System identification and Mathematical model.
The most cited articles investigate areas of study like IL-2 receptor, Nonlinear system, Mathematical model, System identification and DC motor. The published papers focus on research topics in IL-2 receptor within the context of other fields like Effector, Lymph, Lymph node and CD8. The most cited papers explore issues in Nonlinear system which can be linked to other research areas like Control theory and Feed forward.
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 Computation (Basel) (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 Computation (Basel) (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 2017 edition, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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:
An in-depth review of the authors contributing papers to Computation (Basel) reveals their diverse educational backgrounds and area of expertise. The authors come from a wide range of disciplines, from Demography to Art history, as well as diverse fields of Computation. Their varied educational backgrounds play an essential role in enriching the discourse within Computation (Basel), fostering inter-disciplinary dialogue. The extensive knowledge and training these authors have in their respective fields are reflected in their impactful research work. A deep analysis of these backgrounds provides an understanding of the variety of perspectives they bring into the journal. This variety is exemplary of the inclusive and diverse nature of the journal and suggests the capacity of the journal to invite, accommodate and value diverse viewpoints in its discussions. This inventory of author backgrounds also sheds light on the journal's recruitment practices. To explore more about careers intersecting teaching and history, you may want to read about {how long does it take to become a teacher in South Carolina}. This insight into career paths can provide a better understanding of the steps taken by our authors to contribute to our esteemed journal. From students to teachers, our authors exhibit lifelong learning and dedication to their field, preserving the intellectual traditions of their disciplines while pushing the boundaries of knowledge.
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