| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 483 | 54 | 61 | 12 |
Scientific Programming generally zeroes in on subjects such as Artificial intelligence, Speech recognition, Algorithm, Politics and Political economy. The journal dives deep in exploring the relationship between the study of Artificial intelligence and Pattern recognition.
The journal papers primarily focus on research topics in Parallel computing, Programming language, Distributed computing, Software and Grid. Issues in Parallel computing were discussed in the published papers, taking into consideration concepts from other disciplines like Computation, Compiler, Computational science and Code (cryptography). The featured Distributed computing studies in the published papers mainly concentrate on Workflow but also cover areas of interest in Set (abstract data type).
Scientific Programming primarily focuses on research topics in Artificial intelligence, Algorithm, Pattern recognition, Deep learning and Machine learning. Artificial intelligence research discussed connects with the study of Computer vision.
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 Scientific Programming (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 Scientific Programming (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, 46.80% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.27% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.77% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.79% of all publications and 70.18% 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.
If you're deeply interested in Scientific Programming and considering submitting your research to this influential journal, it's important to understand the basics of the authors' guidelines. Keep in mind that contributors to this journal typically have significant experience, shown by the substantial numbers of citations they've received in their careers. Start building your academic portfolio, ensuring you meet the standards for publication generally expected at this venue.
If you're new to this field, you might consider beginning your journey in the academic world by teaching English, for instance. Gaining teaching experience in a related field can be a valuable stepping stone towards future academic publication. To illustrate, you might find it interesting to explore the requirements to become an english teacher in hawaii.
While becoming an author in Scientific Programming might seem challenging, remember that all prominent researchers in this journal began their journeys somewhere. A commitment to learning and diligence in conducting and publishing research is the pathway moving forward. No matter where you are currently in your journey, continue gaining new knowledge, initiating more research, and striving for excellence
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Jordan Ott;Mike Pritchard;Natalie Best;Erik Linstead
(2020)Rizwan Majeed;Nurul Azma Abdullah;Imran Ashraf;Yousaf Bin Zikria
(2020)Xianwei Jiang;Bo Hu;Suresh Chandra Satapathy;Shui-Hua Wang;Shui-Hua Wang
(2020)Aniqa Bano;Ikram Ud Din;Asma A. Al-Huqail
(2020)Sapna Juneja;Mamta Gahlan;Gaurav Dhiman;Sandeep Kautish
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