| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 395 | 54 | 57 | 15 |
The journal facilitates discussions on Speech recognition, Artificial intelligence, Ophthalmology, Embedded system and Psychology. The study on Artificial intelligence presented in it intersects with the topics under Pattern recognition.
The main points discussed in Computational Intelligence deals with Pandemic, Public administration, Order (business), Food security and Context (language use). Aside from Pandemic, the journal also covered works in other subjects like Economic impact analysis, Political economy, Perspective (graphical), Government and Politics. The work on Public administration tackled in the journal brings together disciplines like Institutional structure and Face (sociological concept).
Order (business) research presented in the journal encompasses a variety of subjects, including Crisis management, Global Leadership and Economic system.
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 Computational Intelligence (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 Computational Intelligence (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 77.78% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.11% of all publications and 0.00% 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.
This article has thoroughly discussed the intriguing topics of computational intelligence, from the top research topics to the most cited articles in recent journals. But, you might wonder, what if you're interested in diving even deeper into this domain? If you're considering a career path as a researcher in Computational Intelligence, it's vital to know what it takes to become one. The path to becoming a Computational Intelligence researcher varies, but the general steps usually include earning a Bachelor's degree in a related field like Computer Science, Artificial Intelligence or Data Science. Some go on to earn a Master's degree or a Doctorate in the same or related fields for more in-depth research opportunities. Apart from the academic qualifications, having skills including proficiency in several programming languages, machine learning algorithms, and a keen interest in research are crucial. Additionally, should you have an interest in imparting your knowledge and shaping future researchers, you might want to consider a career as an English teacher in Delaware. The role of a teacher is incredibly rewarding, as you play a pivotal role in preparing students for a career in Computational Intelligence or in any other field. The requirements to become an English teacher in Delaware include obtaining a Bachelor's degree, passing requisite exams, and getting a teaching license. Choosing a career is a major decision and it's essential that you have all the information at hand before making your choice. Whether you choose to become a researcher or a teacher, having the right guidance and resources can make the journey not only easier, but truly rewarding.
Radwa ElShawi;Youssef Sherif;Mouaz Al‐Mallah;Sherif Sakr
(2021)Hekmat Mohammadzadeh;Farhad Soleimanian Gharehchopogh
(2021)Muhammad Umer;Imran Ashraf;Arif Mehmood;Saru Kumari
(2021)Erfan Babaee Tirkolaee;Shaghayegh Hadian;Gerhard Wilhelm Weber;Gerhard Wilhelm Weber;Iraj Mahdavi
(2020)Sagar Chhetri;Abeer Alsadoon;Thair Al Dala in;P. W. C. Prasad
(2021)Asifullah Khan;Aqsa Saeed Qureshi;Noorul Wahab;Mutawarra Hussain
(2021)Exploring online education options is a smart move for those interested in Computer Science. Many students benefit from online self paced college courses, which offer flexibility to balance studies with personal and professional commitments. This approach is ideal for learners who need to customize their schedules without compromising academic quality.
When considering further education, affordability plays a crucial role. Choosing from the affordable graduate schools can significantly reduce financial strain while still providing access to reputable Computer Science programs. This opens doors to advanced career opportunities without the burden of excessive debt.
For those starting out or seeking quicker entry into the workforce, an associate degree is a practical choice. Understanding what is the easiest associate's degree to get can help prospective students find programs that match their skills and goals, making degree completion more achievable.
Ensuring your degree comes from a recognized institution is key. Opting for nationally accredited online colleges guarantees that your education meets quality standards, enhancing your resume and improving job prospects in the competitive tech industry.
