IEEE Embedded Systems Letters

Top Research Topics at IEEE Embedded Systems Letters?

IEEE Embedded Systems Letters tackles a plethora of topics, such as Embedded system, Field-programmable gate array, Software, Parallel computing and Real-time computing. IEEE Embedded Systems Letters holds forums on Embedded system that merges themes from other disciplines such as Multiprocessing, Computer architecture and Computer hardware. Gate array is a major topic of Field-programmable gate array research.

The research on Real-time computing featured in it combines topics in other fields like Wireless, Wireless sensor network and Energy consumption.

• Embedded system (39.80%)
• Field-programmable gate array (18.14%)
• Software (12.85%)

What are the most cited papers published in the journal?

• Hibernus: Sustaining Computation During Intermittent Supply for Energy-Harvesting Systems (172 citations)
• An Analyzable Memory Controller for Hard Real-Time CMPs (128 citations)
• S2CBench: Synthesizable SystemC Benchmark Suite for High-Level Synthesis (93 citations)

Research areas of the most cited articles at IEEE Embedded Systems Letters:

The journal papers are organized to address concerns in the fields of Embedded system, Field-programmable gate array, Software, Computer architecture and Reconfigurable computing. The published articles explore Embedded system concepts, specifically Microcontroller but expand to research in Throughput (business). Issues in Field-programmable gate array were discussed in the journal papers, taking into consideration concepts from other disciplines like Intrusion detection system, Interface (computing) and Encryption, Advanced Encryption Standard.

What topics the last edition of the journal is best known for?

• Operating system
• Artificial intelligence
• Computer network

The previous edition focused in particular on these issues:

Field-programmable gate array, Parallel computing, Embedded system, Artificial intelligence and Distributed computing are the subjects of interest in IEEE Embedded Systems Letters. Gate array studies in the realm of Field-programmable gate array interact with fields like Throughput (business). The studies in Parallel computing featured incorporate elements of Modular multiplier, Decoding methods and Deadlock.

Interdisciplinary research on topics like Embedded system and Personalization are the foci of it. The featured Artificial intelligence works encompass concepts such as Deep learning, Artificial neural network and Convolutional neural network and examines them in conjunction with Quantitative analysis (finance). Cloud computing, Edge device, Exploit, Scheduling (computing) and Efficient energy use are some topics wherein Distributed computing research discussed in it have an impact.

The most cited articles from the last journal are:

• Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition (18 citations)
• Dynamic Partial Reconfiguration Profitability for Real-Time Systems (7 citations)
• Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic (4 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in IEEE Embedded Systems Letters (based on the number of publications) are:

• Nikil Dutt (9 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Dimitrios Soudris (7 papers) absent at the last edition,
• Pallab Dasgupta (6 papers) published 2 papers at the last edition,
• Bill Lin (6 papers) published 1 paper at the last edition,
• Albert M. K. Cheng (5 papers) absent at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in IEEE Embedded Systems Letters (based on the number of publications) are:

• University of California, Irvine (15 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Indian Institute of Technology Kharagpur (11 papers) published 2 papers at the last edition,
• University of California, San Diego (11 papers) published 1 paper at the last edition,
• University of California, Los Angeles (8 papers) absent at the last edition,
• University of Arizona (6 papers) published 2 papers at the last edition.

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.

Publication chance based on affiliation

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, 26.47% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 52.00% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.