IEEE Solid-State Circuits Letters

Top Research Topics at arXiv: Hardware Architecture?

The journal primarily focuses on research topics in Embedded system, Field-programmable gate array, Parallel computing, Computer hardware and Computer architecture. In addition to Embedded system research, the journal aims to explore topics under Dram, Latency (engineering), Efficient energy use, Software and Multi-core processor. Efficient energy use and Energy consumption are closely related fields of research discussed in arXiv: Hardware Architecture.

The presented Parallel computing study covers related areas such as Cache and Speedup and also touches on topics like Throughput (business).

• Embedded system (23.48%)
• Field-programmable gate array (18.92%)
• Parallel computing (15.92%)

What are the most cited papers published in the journal?

• In-Datacenter Performance Analysis of a Tensor Processing Unit (716 citations)
• The Anatomy of the Grid - Enabling Scalable Virtual Organizations (343 citations)
• A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs) (95 citations)

Research areas of the most cited articles at arXiv: Hardware Architecture:

Dram, Embedded system, Computer hardware, Field-programmable gate array and Parallel computing are the main subjects of interest in the published papers. The most cited publications feature works in Parallel computing, more specifically Execution model, and explore their relation to disciplines like Throughput (business). While work presented in the most cited publications provide substantial information on Multithreading, it also covers topics in Artificial neural network and Central processing unit.

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

• Operating system
• Artificial intelligence
• Central processing unit

The previous edition focused in particular on these issues:

ArXiv: Hardware Architecture investigates studies in Field-programmable gate array, Parallel computing, Throughput (business), Computer engineering and Artificial neural network. Part of the Embedded system and Computer hardware studies discussed focus on Field-programmable gate array. It explores research in Embedded system alongside concepts in Overhead (computing) and other areas of study in Bottleneck.

The Parallel computing study featured in the journal draws connections with the study of Scalability. In the journal, Inference, Convolutional neural network and Data transmission are investigated in conjunction with one another to address concerns in Computer engineering research. It addresses concerns in Artificial neural network which are intertwined with other disciplines, such as Enhanced Data Rates for GSM Evolution, Computer architecture, Computation and Efficient energy use.

The most cited articles from the last journal are:

• The gem5 Simulator: Version 20.0+ (14 citations)
• Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. (12 citations)
• DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks (9 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 arXiv: Hardware Architecture (based on the number of publications) are:

• Onur Mutlu (97 papers) published 19 papers at the last edition, 6 less than at the previous edition,
• Saugata Ghose (38 papers) published 6 papers at the last edition the same number as at the previous edition,
• Luca Benini (29 papers) published 4 papers at the last edition, 10 less than at the previous edition,
• Padmanabhan Balasubramanian (25 papers) absent at the last edition,
• Donghyuk Lee (21 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 arXiv: Hardware Architecture (based on the number of publications) are:

• ETH Zurich (61 papers) published 13 papers at the last edition, 13 less than at the previous edition,
• Carnegie Mellon University (34 papers) published 5 papers at the last edition, 3 less than at the previous edition,
• Georgia Institute of Technology (31 papers) published 9 papers at the last edition, 2 less than at the previous edition,
• University of Illinois at Urbana–Champaign (25 papers) published 10 papers at the last edition, 1 more than at the previous edition,
• Intel (23 papers) published 2 papers at the last edition, 7 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, 39.25% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.47% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.84% of all publications and 41.01% 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.