| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 150 | 154 | 186 | 32 |
IEEE Intelligent Systems is mainly concerned with subjects like Artificial intelligence, Intelligent decision support system, World Wide Web, Knowledge management and Data science. The journal facilitates discussions on Artificial intelligence that incorporate concepts from other fields like Machine learning, Human–computer interaction and Natural language processing. The study on World Wide Web presented in the journal intersects with subjects under the field of Information retrieval.
It features Knowledge management research that overlaps with concepts in Expert system. The Robot study tackling the subject of Mobile robot is the focus of it. Social Semantic Web study tackled is connected to the field of Semantic Web Stack.
The published articles focus on Artificial intelligence, World Wide Web, Intelligent decision support system, Semantic Web and Data science. While the published papers focused on Artificial intelligence, they were also able to explore topics like Machine learning, Human–computer interaction and Natural language processing. The published papers address concerns in the field of World Wide Web by exploring it in line with topics in Information retrieval which intersect with Web page subjects.
The journal is organized to address concerns in the fields of Intelligent decision support system, Artificial intelligence, Argumentation theory, Data science and Anomaly detection. Issues in Intelligent decision support system were discussed, taking into consideration concepts from other disciplines like Data mining, Computational complexity theory, Representation (mathematics), Task analysis and Design methods. The concepts on Artificial intelligence presented in it can also apply to other research fields, including Machine learning, Task (project management) and Natural language processing.
Topics in Argumentation theory were tackled in line with various other fields like Argument, Knowledge representation and reasoning, Semantics (computer science), Decision support system and Knowledge-based systems. It focuses on Knowledge-based systems but the discussions also offer insight into other areas such as Representation (systemics) and Word embedding. It addresses concerns in Data science which are intertwined with other disciplines, such as Quality (business), Affect (psychology), Outcome (game theory), Information system and Big data.
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 IEEE Intelligent 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 IEEE Intelligent 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, 26.87% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.24% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.20% of all publications and 63.27% 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.
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Yiqiang Chen;Xin Qin;Jindong Wang;Chaohui Yu
(2020)Yang Liu;Yan Kang;Chaoping Xing;Tianjian Chen
(2020)Kewei Cheng;Tao Fan;Yilun Jin;Yang Liu
(2021)Di Chai;Leye Wang;Kai Chen;Qiang Yang
(2021)Unknown
(2022)Mengnan Du;Fan Yang;Na Zou;Xia Hu
(2021)Yosephine Susanto;Andrew G. Livingstone;Bee Chin Ng;Erik Cambria
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