| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 552 | 50 | 55 | 10 |
The journal aims to foster the development of research in Distributed computing, Computer network, Artificial intelligence, Scalability and Multi-agent system. The research on Distributed computing tackled can also make contributions to studies in the areas of Quality of service, Software system, Wireless sensor network, Autonomic computing and Adaptation (computer science). The studies tackled, which mainly focus on Software system, apply to Software development as well.
Wireless sensor network research discussed connects with the study of Key distribution in wireless sensor networks. ACM Transactions on Autonomous and Adaptive Systems explores issues in Artificial intelligence which can be linked to other research areas like Machine learning and Set (psychology). ACM Transactions on Autonomous and Adaptive Systems focuses on Scalability as well as the interrelated topic of Node (networking).
The most cited papers mainly deal with areas of study such as Distributed computing, Autonomic computing, Robot, Key (cryptography) and Artificial intelligence. While the journal publications focused on Distributed computing, they were also able to explore topics like Adaptive system, Computer network, Provisioning, Workflow and Robustness (computer science). In addition to Autonomic computing research, the journal publications aim to explore topics under Class (computer programming), Programming paradigm and Computer security.
ACM Transactions on Autonomous and Adaptive Systems investigates studies in Software system, Resource (project management), Operations research, Robustness (computer science) and Set (abstract data type). Software system research featured in ACM Transactions on Autonomous and Adaptive Systems incorporates concerns from various other topics such as Errors-in-variables models and Adaptive system. Adaptive system research in ACM Transactions on Autonomous and Adaptive Systems involves the investigation of Planner studies, all of which are linked to disciplines such as Adaptation (computer science).
The Resource (project management) study tackled in it also covered diverse fields such as Provisioning, PID controller, Control theory, Artificial neural network and Scalability. The journal addresses concerns in the field of Robustness (computer science) by exploring it in line with topics in Synthetic data which intersect with Machine learning subjects. Set (abstract data type) research presented in it encompasses a variety of subjects, including Node (networking), Wireless sensor network and Scheme (programming language).
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 ACM Transactions on Autonomous and Adaptive 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 ACM Transactions on Autonomous and Adaptive 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 25.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 37.50% of all publications and 12.50% 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.
There is a plethora of career opportunities available for those who are well-versed in the main research topics that ACM Transactions on Autonomous and Adaptive Systems explore, such as Distributed Computing, Artificial Intelligence, and Computer Networks. This field is continually progressing, offering numerous job prospects in academia, research, and industry. Potential career positions may include roles as a Research Scientist, Computer Network Architect, Software Developer, amongst others. Students and professionals looking to advance their careers can benefit significantly from focusing their studies and research efforts on these areas. Moreover, employing the knowledge and experience gained from the aforementioned research topics can be instrumental in fulfilling practical roles in the tech industry. As part of their career pathway, individuals may opt to become teaching professionals, providing high-quality education and fostering the next generation of computer scientists. If you have a Bachelor's degree and are considering this career path, you may want to review how to become a teacher in Georgia with a bachelor's degree. Teaching can be a fulfilling career choice that allows seasoned professionals to pass on their in-depth knowledge, contributing to the continued growth and innovation within the field of computer science.
Omid Gheibi;Danny Weyns;Federico Quin
(2021)Federico Chiariotti;Chiara Pielli;Andrea Zanella;Michele Zorzi
(2020)Sona Ghahremani;Holger Giese;Thomas Vogel
(2020)Matteo Mordacchini;Marco Conti;Andrea Passarella;Raffaele Bruno
(2020)Sudip Misra;Tamoghna Ojha;Madhusoodhanan P
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