| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 149 | 175 | 271 | 32 |
The concepts of Artificial intelligence, Expert system, Machine learning, Data mining and Pattern recognition are tackled in the journal. The journal focuses on Artificial intelligence but the discussions also offer insight into other areas such as Computer vision and Natural language processing. In the journal, Knowledge base, Software engineering and Knowledge management are investigated in conjunction with one another to address concerns in Expert system research.
It concentrated on Knowledge management research, specifically Knowledge engineering and Knowledge-based systems.
The most cited articles mainly tackle studies in Artificial intelligence, Expert system, Data mining, Machine learning and Knowledge management. The journal papers deal with Artificial intelligence in conjunction with Pattern recognition and similar fields in Speech recognition. The studies on Expert system discussed at the most cited publications can also contribute to research in the domains of Software engineering, Knowledge base and Knowledge acquisition.
The journal primarily focuses on research topics in Artificial intelligence, Deep learning, Pattern recognition, Machine learning and Artificial neural network. Computer vision and Natural language processing are some topics wherein Artificial intelligence research discussed in the journal have an impact. The Pattern recognition research dealing mostly with Feature extraction is the focus of it.
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 Expert Systems (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 Expert Systems (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, 5.38% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.32% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.23% of all publications and 71.95% 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.
The ever-changing landscape of expert systems and artificial intelligence research offers a wide range of career opportunities to interested individuals. Specializing in these disciplines can open gates to an array of professions such as AI Specialist, Machine Learning Engineer, Data Scientist, and even specialized domains like Special Education Teaching.
For instance, incorporating AI and machine learning advancements in the special education field can significantly enhance the teaching and learning quality for special needs students. If you are interested in making a contribution to this significant field, obtaining a special education credential utah online can be a great starting point. This comprehensive guide will provide you with the necessary information and steps to pursue a career in special education in a technologically advanced setting.
Investing time in furthering your education in AI, machine learning, and special education can add immense value to your professional career, specifically if combined with the use of expert systems in education. Navigating the world of technological advancements can be demanding but the rewards are undeniably worth the efforts. Equip yourself with the right credentials and become a part of this revolutionary technological transformation.
A. K. M. Bahalul Haque;Bharat Bhushan;Gaurav Dhiman
(2021)Guilherme Brandão Martins;João Paulo Papa;Hojjat Adeli
(2020)Zaid Abdi Alkareem Alyasseri;Zaid Abdi Alkareem Alyasseri;Mohammed Azmi Al-Betar;Mohammed Azmi Al-Betar;Iyad Abu Doush;Iyad Abu Doush;Mohammed A. Awadallah;Mohammed A. Awadallah
(2021)Olusola Oluwakemi Abayomi-Alli;Robertas Damaševičius;Sanjay Misra;Sanjay Misra;Rytis Maskeliūnas;Rytis Maskeliūnas
(2021)Habiba Arshad;Muhammad Attique Khan;Muhammad Irfan Sharif;Mussarat Yasmin
(2020)Mohamed Hammad;Mohamed Hammad;Paweł Pławiak;Kuanquan Wang;Udyavara Rajendra Acharya;Udyavara Rajendra Acharya;Udyavara Rajendra Acharya
(2021)Arnab Kumar Mishra;Pinki Roy;Sivaji Bandyopadhyay;Sujit Kumar Das
(2021)Sajad Javadinasab Hormozabad;Mariantonieta Gutierrez Soto;Hojjat Adeli
(2021)Hui Zeng;Gaurav Dhiman;Ashutosh Sharma;Amit Sharma
(2021)Alishba Adeel;Muhammad Attique Khan;Tallha Akram;Abida Sharif
(2020)Exploring diverse fields within technology and science can broaden career opportunities beyond traditional Computer Science roles. For example, pursuing an applied artificial intelligence bachelor offers specialized knowledge in AI algorithms and machine learning, opening doors to innovative industries like robotics and data analysis.
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Overall, integrating related online degrees can enhance the core competencies gained in Computer Science, providing graduates with a diverse, competitive edge in the evolving job market.
