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IEEE Transactions on Very Large Scale Integration (VLSI) Systems
H-index 31

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 113 195 380 28
Computer Science 214 111 209 25
Engineering and Technology 840 15 32 10

Additional Metrics

Number of Best Scientists*: 284
Documents by Best Scientists*: 454
Top 100 Ranked Scientists*: 7
SCIMAGO H-index: 122
SCIMAGO SJR: 0.744
Impact Factor: 3.1

Overview

Top Research Topics at IEEE Transactions on Very Large Scale Integration Systems?

The scientific interests tackled in the journal are Electronic engineering, CMOS, Very-large-scale integration, Embedded system and Electrical engineering. Issues in Electronic engineering were discussed, taking into consideration concepts from other disciplines like Voltage, Electronic circuit, Low-power electronics and Integrated circuit. The Integrated circuit works featured in the journal incorporate elements from Integrated circuit design and Circuit design.

The research on CMOS discussed in IEEE Transactions on Very Large Scale Integration Systems draws on the closely related field of Transistor. The journal addresses concerns in Very-large-scale integration which are intertwined with other disciplines, such as Algorithm and Parallel computing. In it, Energy consumption, Computer hardware and Cache are investigated in conjunction with one another to address concerns in Embedded system research.

Gate array is a major topic of Field-programmable gate array research. Topics like Logic synthesis and Logic family are tackled as part of the discussions on Logic gate.

  • Electronic engineering (36.67%)
  • CMOS (18.22%)
  • Very-large-scale integration (15.87%)

What are the most cited papers published in the journal?

  • A survey of design techniques for system-level dynamic power management (1109 citations)
  • Bus-invert coding for low-power I/O (999 citations)
  • Power analysis of embedded software: a first step towards software power minimization (901 citations)

Research areas of the most cited articles at IEEE Transactions on Very Large Scale Integration Systems:

The journal papers investigate areas of study like Electronic engineering, CMOS, Embedded system, Very-large-scale integration and Integrated circuit. The journal papers explore topics in Electronic engineering which can be helpful for research in disciplines like Electronic circuit, Electrical engineering and Low-power electronics. While Very-large-scale integration is the focus of the published articles, it also provides insights into the studies of Clock rate, Algorithm and Parallel computing.

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

  • Operating system
  • Artificial intelligence
  • Electrical engineering

The previous edition focused in particular on these issues:

IEEE Transactions on Very Large Scale Integration Systems is organized to address concerns in the fields of Electronic engineering, CMOS, Computer hardware, Logic gate and Very-large-scale integration. The journal facilitates discussions on Electronic engineering that incorporate concepts from other fields like Noise (electronics), Bandwidth (computing) and Successive approximation ADC, Capacitor. Topics in CMOS were tackled in line with various other fields like Low voltage and Transistor.

The featured Computer hardware research zeroes in on concepts in Field-programmable gate array and Gate array but also tackles themes under Throughput (business). Some problems in Logic gate that were presented in IEEE Transactions on Very Large Scale Integration Systems overlapped with concepts under Electronic circuit and Integrated circuit. The study of Algorithm and how it intertwines with concepts under Benchmark (computing) were explored in the presented Very-large-scale integration research.

The most cited articles from the last journal are:

  • TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems (8 citations)
  • Mixed-Signal Computing for Deep Neural Network Inference (6 citations)
  • Heterogeneous Mixed-Signal Monolithic 3-D In-Memory Computing Using Resistive RAM (5 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.

The top authors publishing in IEEE Transactions on Very Large Scale Integration Systems (based on the number of publications) are:

  • Kaushik Roy (68 papers) absent at the last edition,
  • Irith Pomeranz (61 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Eby G. Friedman (52 papers) absent at the last edition,
  • Niraj K. Jha (49 papers) absent at the last edition,
  • Massoud Pedram (40 papers) published 1 paper at the last edition, 4 less than at the previous 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in IEEE Transactions on Very Large Scale Integration Systems (based on the number of publications) are:

  • Purdue University (155 papers) published 5 papers at the last edition, 2 less than at the previous edition,
  • Intel (139 papers) published 5 papers at the last edition, 4 more than at the previous edition,
  • Nanyang Technological University (119 papers) published 3 papers at the last edition, 6 less than at the previous edition,
  • Georgia Institute of Technology (112 papers) published 5 papers at the last edition, 5 less than at the previous edition,
  • National Chiao Tung University (108 papers) published 2 papers at the last edition, 2 less than at the previous 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, 11.52% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.98% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.10% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.53% of all publications and 57.40% 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.

Top Publications

  • Mapping Spiking Neural Networks to Neuromorphic Hardware

    Adarsha Balaji;Francky Catthoor;Anup Das;Yuefeng Wu

    (2020)
    148 Citations
  • OPU: An FPGA-Based Overlay Processor for Convolutional Neural Networks

    Yunxuan Yu;Chen Wu;Tiandong Zhao;Kun Wang

    (2020)
    134 Citations
  • Improving the Accuracy and Hardware Efficiency of Neural Networks Using Approximate Multipliers

    Mohammad Saeed Ansari;Vojtech Mrazek;Bruce F. Cockburn;Lukas Sekanina

    (2020)
    129 Citations
  • An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs

    Chaoyang Zhu;Kejie Huang;Shuyuan Yang;Ziqi Zhu

    (2020)
    122 Citations
  • Design and Implementation of Encryption/Decryption Architectures for BFV Homomorphic Encryption Scheme

    Ahmet Can Mert;Erdinc Ozturk;Erkay Savas

    (2020)
    107 Citations
  • A Compact 0.3-V Class AB Bulk-Driven OTA

    Tomasz Kulej;Fabian Khateb

    (2020)
    91 Citations
  • Ara: A 1-GHz+ Scalable and Energy-Efficient RISC-V Vector Processor With Multiprecision Floating-Point Support in 22-nm FD-SOI

    Matheus Cavalcante;Fabian Schuiki;Florian Zaruba;Michael Schaffner

    (2020)
    77 Citations

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Best Scientists Contributing to This Journal