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IEEE Micro
H-index 27

IEEE Micro

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 203 62 69 18
Computer Science 221 176 208 24

Additional Metrics

Number of Best Scientists*: 220
Documents by Best Scientists*: 261
Top 100 Ranked Scientists*: 7
SCIMAGO H-index: 106
SCIMAGO SJR: 0.945
Impact Factor: 2.9

Overview

Top Research Topics at IEEE Micro?

The discussions in IEEE Micro mainly cover the fields of Embedded system, Computer architecture, Parallel computing, Operating system and Computer hardware. Embedded system studies presented in IEEE Micro focus on topics such as Microprocessor and System on a chip. IEEE Micro holds forums on Computer architecture that merges themes from other disciplines such as Multi-core processor, Instruction set and Microarchitecture.

The study on Parallel computing featured in IEEE Micro expounds on the topic of Cache in particular. The main emphasis of it is the subject of Operating system, focusing on Software.

  • Embedded system (19.70%)
  • Computer architecture (16.12%)
  • Parallel computing (11.93%)

What are the most cited papers published in the journal?

  • Myrinet: a gigabit-per-second local area network (1645 citations)
  • Designing reliable systems from unreliable components: the challenges of transistor variability and degradation (1246 citations)
  • Loihi: A Neuromorphic Manycore Processor with On-Chip Learning (1134 citations)

Research areas of the most cited articles at IEEE Micro:

The journal publications mostly deal with topics like Embedded system, Computer architecture, Parallel computing, Operating system and Microprocessor. The most cited papers explore research in Scalability and overlapping concepts in Interconnection to expand the discourse in Embedded system. The journal publications hold forums on Computer architecture that merge themes from other disciplines such as Cellular architecture, Microarchitecture, CMOS, Multi-core processor and SIMD.

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

  • Operating system
  • World War II
  • The Internet

The previous edition focused in particular on these issues:

The scientific interests tackled in the journal are Embedded system, Field-programmable gate array, Quantum computer, Server and Scalability. In addition to Embedded system research, the journal aims to explore topics under Cache, PCI Express, IBM, Computation and Efficient energy use. While work presented in it provided substantial information on Field-programmable gate array, it also covered topics in Computational complexity theory, Bottleneck, Symmetric multiprocessor system and Emulation.

IEEE Micro tackles research in Quantum computer and various other disciplines, including Field (computer science), Variety (cybernetics), Distributed computing and Software. It features Server research that overlaps with concepts in Component (UML). The Scalability works featured in the journal incorporate elements from Computer architecture, DIMM and Microarchitecture, Parallel computing.

The most cited articles from the last journal are:

  • NVIDIA A100 Tensor Core GPU: Performance and Innovation (12 citations)
  • The Design Process for Google's Training Chips: TPUv2 and TPUv3 (8 citations)
  • The Vision Behind MLPerf: Understanding AI Inference Performance (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.

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

  • Shane Greenstein (156 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • Richard Mateosian (49 papers) absent at the last edition,
  • Ken Sakamura (37 papers) absent at the last edition,
  • Lieven Eeckhout (35 papers) absent at the last edition,
  • Pradip Bose (32 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.

Only papers with recognized affiliations are considered

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

  • IBM (156 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Intel (130 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • Stanford University (73 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • University of Texas at Austin (67 papers) published 5 papers at the last edition, 2 less than at the previous edition,
  • University of Illinois at Urbana–Champaign (60 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, 8.86% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.89% 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 9.72% of all publications and 38.89% 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

  • Chipyard: Integrated Design, Simulation, and Implementation Framework for Custom SoCs

    Alon Amid;David Biancolin;Abraham Gonzalez;Daniel Grubb

    (2020)
    302 Citations
  • MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings

    Hyoukjun Kwon;Prasanth Chatarasi;Vivek Sarkar;Tushar Krishna

    (2020)
    178 Citations
  • MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

    Peter Mattson;Hanlin Tang;Gu-Yeon Wei;Carole-Jean Wu

    (2020)
    155 Citations
  • TeraPHY: A Chiplet Technology for Low-Power, High-Bandwidth In-Package Optical I/O

    Mark Wade;Roy Meade;Chandru Ramamurthy;Michael Rust

    (2020)
    125 Citations
  • The Design Process for Google's Training Chips: TPUv2 and TPUv3

    Thomas Norrie;Nishant Patil;Doe Hyun Yoon;George Kurian

    (2021)
    118 Citations
  • AsmDB: Understanding and Mitigating Front-End Stalls in Warehouse-Scale Computers

    Nayana Prasad Nagendra;Grant Ayers;David I. August;Hyoun Kyu Cho

    (2020)
    80 Citations
  • Accelerating Genome Analysis: A Primer on an Ongoing Journey

    Mohammed Alser;Zulal Bingol;Damla Senol Cali;Jeremie Kim

    (2020)
    75 Citations

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