| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 297 | 32 | 65 | 12 |
| Computer Science | 448 | 65 | 93 | 13 |
ACM Transactions on Reconfigurable Technology and Systems aims to foster the development of research in Field-programmable gate array, Embedded system, Parallel computing, Reconfigurable computing and Speedup. The studies in Field-programmable gate array featured incorporate elements of Software, Computer engineering and Computer architecture. The Computer engineering works featured in the journal incorporate elements from Artificial neural network and Hardware acceleration.
The concepts on Embedded system presented in it can also apply to other research fields, including Scalability, Overhead (computing), Side channel attack, Cryptography and Reconfigurability. In addition to Parallel computing research, ACM Transactions on Reconfigurable Technology and Systems aims to explore topics under Lookup table, Routing (electronic design automation), Computation and Reduction (complexity). ACM Transactions on Reconfigurable Technology and Systems links adjacent topics like Reconfigurable computing with Supercomputer.
Interdisciplinary research on topics like Control reconfiguration and Distributed computing are the foci of the journal.
The published papers investigate areas of study like Field-programmable gate array, Embedded system, Parallel computing, Reconfigurable computing and Software. Computation, CAD and Speedup are some topics wherein Field-programmable gate array research discussed in the most cited publications has an impact. The most cited publications with studies in Embedded system featured incorporate elements of Computer architecture, Computer hardware, Side channel attack, Cryptography and Reconfigurability.
ACM Transactions on Reconfigurable Technology and Systems primarily tackles Field-programmable gate array, Embedded system, Deep learning, Artificial intelligence and Parallel computing. The Field-programmable gate array research presented falls under the domain of Computer hardware. Embedded system research presented in it encompasses a variety of subjects, including Software and STREAMS.
Topics in Software were tackled in line with various other fields like Formal verification and Overhead (engineering). While work presented in it provided substantial information on Deep learning, it also covered topics in Overlay, Computer architecture, Compiler and Domain (software engineering). The journal explores topics in Parallel computing which can be helpful for research in disciplines like Schedule, Scheduling (computing), Dependency graph and Data-flow analysis.
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 Reconfigurable Technology and 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 Reconfigurable Technology and 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 12.50% 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 25.00% 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.
Kevin E. Murray;Oleg Petelin;Sheng Zhong;Jia Min Wang
(2020)Zhen Zhou;Debiao He;Zhe Liu;Min Luo
(2021)Lana Josipović;Shabnam Sheikhha;Andrea Guerrieri;Paolo Ienne
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