| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 88 | 129 | 248 | 46 |
| Engineering and Technology | 113 | 116 | 263 | 42 |
The journal mainly tackles studies in Artificial intelligence, Data mining, Systems engineering, Software engineering and Machine learning. Computer vision and Pattern recognition are some topics wherein Artificial intelligence research discussed in it have an impact.
The journal articles primarily focus on research topics in Artificial intelligence, Systems engineering, Software engineering, Mathematical optimization and Building information modeling. The works on Artificial intelligence tackled in the published papers bring together disciplines like Machine learning and Computer vision. The works on Software engineering tackled in the journal articles bring together disciplines like Ontology (information science) and Context (language use).
Artificial intelligence, Data mining, Deep learning, Machine learning and Algorithm are the subjects of interest in the journal. Advanced Engineering Informatics explores issues in Artificial intelligence which can be linked to other research areas like Computer vision and Pattern recognition. The journal focused on Pattern recognition research but expanded to cover Feature (computer vision).
It holds forums on Data mining that merges themes from other disciplines such as New product development, Cluster analysis and Product (mathematics).
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 Advanced Engineering Informatics (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 Advanced Engineering Informatics (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, 6.28% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.70% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.15% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.46% of all publications and 44.69% 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.
Shohin Aheleroff;Xun Xu;Ray Y. Zhong;Yuqian Lu
(2021)Unknown
(2022)Shohin Aheleroff;Xun Xu;Yuqian Lu;Mauricio Aristizabal
(2020)C.K. Lo;C.H. Chen;Ray Y. Zhong
(2021)Unknown
(2022)Weili Fang;Peter E.D. Love;Hanbin Luo;Lieyun Ding
(2020)Unknown
(2023)For students pursuing Computer Science in the USA, exploring flexible education options can accelerate career growth. Many professionals are turning to online doctoral programs to deepen their expertise without interrupting their work lives. These programs offer a blend of rigorous research and convenience, ideal for advancing in academia or specialized industry roles.
Similarly, one year masters programs online provide a fast-track option for those looking to gain advanced skills quickly. Compact and intensive, these programs are designed to keep up with the tech industry’s rapid evolution.
When considering educational paths, it’s also wise to review online degrees that offer a balance between duration and earning potential. This approach helps students maximize their return on investment while entering the workforce sooner.
Finally, understanding the best college majors for the future can guide decisions in a technology-driven world. Computer Science remains a top choice, reflecting strong demand and diverse career opportunities ahead.