| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 67 | 368 | 649 | 53 |
The journal primarily tackles Artificial intelligence, Soft computing, Artificial neural network, Data mining and Mathematical optimization. In addition to Artificial intelligence research, Soft Computing aims to explore topics under Natural language processing, Machine learning and Pattern recognition. Soft computing studies covered in it falls within the purview of Fuzzy logic.
The concepts on Artificial neural network presented in it can also apply to other research fields, including Control engineering and Time series. The journal explores research in Control engineering and the adjacent study of Process (computing). Soft Computing links adjacent topics like Data mining with Cluster analysis.
The Mathematical optimization research presented places emphasis on topics like Evolutionary algorithm, Genetic algorithm and Heuristic. Most of the works presented in Soft Computing deals with Genetic algorithm but it intersects with the subject of Heuristics.
The journal articles are organized to address concerns in the fields of Finite element method, Computation, Real-time computing, Data mining and Soft computing. The published papers explore themes in Data mining like Relation (database) and link them with other fields of study like Customer satisfaction. Soft computing studies tackled in the most cited publications cover an aspect of the field of Artificial neural network.
The journal mainly tackles studies in Artificial intelligence, Machine learning, Feature selection, Algorithm and Consumption (economics). It connects the study in Artificial intelligence with the closely related area of Pattern recognition. It tackles research in Unsupervised learning as part of the general discipline of Machine learning, however, it also discusses concepts in Ransomware and Event (relativity).
While Feature selection is the focus of the journal, it also provided insights into the studies of Solar irradiance, Temporal database, Ball bearing and Acoustics. The journal focuses on Algorithm but the discussions also offer insight into other areas such as Block (telecommunications), Assembly line, Mixed model and Tardiness. While Data mining is the key highlight in the journal, it also covered some subjects on Upsampling and Multivariate statistics.
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 Soft 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 Soft 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, 96.77% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 100.00% 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.
Before you can begin your research journey in soft computing and its related areas, you'll need to understand the practical steps on how to get started. To begin with, having a solid background in Mathematics, Statistics, or Computer Science can be beneficial. You would also need to acquire a deep understanding of various topics and techniques involved in soft computing such as Artificial Intelligence, Machine Learning, Data Mining and Exploration, Soft Computing Systems, etc. Then, you would need to pursue a doctorate degree focused in these areas and begin contributing to the academic world through publications in reputed research journals, presenting papers at conferences, and building innovative solutions in these fields. During this process, you are likely to collaborate with other researchers from various institutions around the globe. This collaboration contributes not only to the advancement of science but also to your own personal and career development. Once you establish yourself in the academic world, you might want to consider teaching as well. If you want to learn more about the details of becoming a high school teacher, for instance, you can check out an article about the high school history teacher salary in Oklahoma. Soft Computing is a thriving area of research and has broad applications in areas like optimization problems, system modeling and control. Each of these areas is in heavy demand in both academic and industrial sectors. Therefore, you are likely to have good career prospects as a researcher in this area. As you advance, you may create your own innovative techniques or improve upon existing ones in the field of Soft Computing. It's a challenging and exciting journey that requires tenacity, dedication, and passion. If this sounds like something you're interested in, Soft Computing offers a great career path for you! Finally, developing good research and publication skills is critical for your success. A good understanding of editorial processes in scholarly publication, awareness of citation practices, and the ability to work collaboratively in a team are important facets of being a researcher that you need to master. It might sound a lot, but remember, every expert was once a beginner. Your passion for the subject will fuel your journey, making the learning process enjoyable.
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(2020)Sawinder Kaur;Parteek Kumar;Ponnurangam Kumaraguru
(2020)Alaa S Al-Waisy;Shumoos Al-Fahdawi;Mazin Abed Mohammed;Karrar Hameed Abdulkareem
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