| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 410 | 149 | 222 | 14 |
The journal explores disciplines such as Computer network, Session (computer science), Distributed computing, Multimedia and Scheduling (computing). The work on Computer network tackled in the journal brings together disciplines like Wireless, Wireless network and The Internet.
The most cited articles mainly deal with areas of study such as Computer network, Distributed computing, The Internet, Energy (signal processing) and Parallel computing. The journal publications facilitate discussions on Computer network that incorporate concepts from other fields like Replication (computing), Die (integrated circuit) and Thread (computing). The published articles hold forums on Distributed computing that merge themes from other disciplines such as Variation (game tree), Web server, Capacity planning and Current (fluid).
The primary areas of discussion in Sigmetrics Performance Evaluation Review are Computer network, Set (abstract data type), Blockchain, Server and Resource allocation. The journal addresses concerns in Computer network which are intertwined with other disciplines, such as Path (graph theory) and The Internet. The The Internet works featured in the journal incorporate elements from Network congestion and Bandwidth (computing).
Sigmetrics Performance Evaluation Review explores issues in Blockchain which can be linked to other research areas like Mechanism (sociology), Consensus and Stability (learning theory). The journal facilitates discussions on Server that incorporate concepts from other fields like State (computer science), Response time and Concurrency. It explores research in Mechanism design and overlapping concepts in Online algorithm to expand the discourse in Resource allocation.
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 Sigmetrics Performance Evaluation Review (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 Sigmetrics Performance Evaluation Review (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 2020 edition, 92.59% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 50.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 50.00% of all publications and 0.00% 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.
The valuable research presented in the Sigmetrics Performance Evaluation Review is of significant importance to the development of computing, especially in the field of education. The critical work on Computer Networks can, for instance, see application in enhancing teaching and learning processes, particularly in math education. Computational thinking has become a fundamental skill within our society, with efforts being made to integrate it into school curriculums, in domains such as mathematics. Math teachers, especially those teaching at the middle school level, can benefit from understanding how technologies from computer networks can be used to enhance learning experiences and outcomes. For instance, math teachers can take advantage of the potential presented by distributed computing, a topic extensively explored in the journal, to foster collaborative learning in their classrooms. With this technology, students can work together on math problems, enhancing their problem-solving and team work skills. Teachers can also leverage multimedia tools, another area explored in the journal, to make their lessons more interactive and engaging. For educators interested in leveraging the capabilities of computer networks in their learning environment, they can begin by pursuing a career as a middle school math teachers. Here is a resource on how to become a middle school math teacher in Tennessee, providing a deeper understanding of what the role entails and the potential impact technology can have on math education in middle schools. Whether you are an aspiring teacher, a computing enthusiast, or a researcher, the research presented in Sigmetrics Performance Evaluation Review promises considerable potential in various sectors, including the field of education.
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(2021)Gayane Vardoyan;Saikat Guha;Philippe Nain;Don Towsley
(2021)Gayane Vardoyan;Saikat Guha;Philippe Nain;Don Towsley
(2021)Ziv Scully;Mor Harchol-Balter;Alan Scheller-Wolf
(2020)Daniel Balouek-Thomert;Ivan Rodero;Manish Parashar
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 7
