ACM Journal on Emerging Technologies in Computing Systems

10.5k citations
606 papers · · active since 2016

Impact in

    • Parallel Computing and Optimization Techniques
    • Physical Unclonable Functions (PUFs) and Hardware Security
    • Advanced Memory and Neural Computing
    • Ferroelectric and Negative Capacitance Devices
    • Semiconductor materials and devices
    • Low-power high-performance VLSI design

Papers in

    • Physical Unclonable Functions (PUFs) and Hardware Security 77
    • Parallel Computing and Optimization Techniques 65
    • Advanced Memory and Neural Computing 195
    • Semiconductor materials and devices 93
    • Advancements in Semiconductor Devices and Circuit Design 79
    • Ferroelectric and Negative Capacitance Devices 78
    • Low-power high-performance VLSI design 74

ACM Journal on Emerging Technologies in Computing Systems

571 papers receiving 10.1k citations

Peers

ACM Journal on Emerging Technologies in Computing Systems
Comparison fields: 5 of 140
  • Hardware and Architecture 2.3k
  • Electrical and Electronic Engineering 7.1k
  • Computer Networks and Communications 1.9k
  • Computational Theory and Mathematics 1.3k
  • Artificial Intelligence 2.6k
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ACM Journal on Emerging Technologies in Computing Systems relative to IEEE Design and Test United States IEEE Design and Test's profile →
Citations per field
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IEEE Design and Test · 1×
Citations per year

Countries where authors publish in ACM Journal on Emerging Technologies in Computing Systems

Since Specialization
Citations

This map shows the geographic impact of research published in ACM Journal on Emerging Technologies in Computing Systems. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in ACM Journal on Emerging Technologies in Computing Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ACM Journal on Emerging Technologies in Computing Systems more than expected).

Fields of papers published in ACM Journal on Emerging Technologies in Computing Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Journal on Emerging Technologies in Computing Systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in ACM Journal on Emerging Technologies in Computing Systems.

About ACM Journal on Emerging Technologies in Computing Systems

The 606 papers published in ACM Journal on Emerging Technologies in Computing Systems in the last decades have received a total of 10.5k indexed citations . Papers published in ACM Journal on Emerging Technologies in Computing Systems usually cover Hardware and Architecture (166 papers), Electrical and Electronic Engineering (444 papers), Computer Networks and Communications (108 papers), Artificial Intelligence (147 papers) and Computational Theory and Mathematics (67 papers) specifically the topics of Advanced Memory and Neural Computing (195 papers), Semiconductor materials and devices (93 papers), Advancements in Semiconductor Devices and Circuit Design (79 papers), Ferroelectric and Negative Capacitance Devices (78 papers), Physical Unclonable Functions (PUFs) and Hardware Security (77 papers), Low-power high-performance VLSI design (74 papers), Parallel Computing and Optimization Techniques (65 papers) and Quantum-Dot Cellular Automata (61 papers). The most active scholars publishing in ACM Journal on Emerging Technologies in Computing Systems are André M. DeHon, Krishnendu Chakrabarty, Wonyong Sung, Sajid Anwar, Kyuyeon Hwang, Yu Kevin Cao, Niraj Kumar Jha, Wei Ping Zhao, Fei Su and Himanshu Thapliyal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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