John Glossner

1.7k citations
69 papers · 986 · 1 hit paper · h-index 13

Impact in

Papers in

John Glossner

62 papers receiving 902 citations

John Glossner's Hit Papers

Pruning and quantization for deep neural network acceleration: A survey 2021 · 508 citations
5080+1+3Years since publication100200300400500

Peers

John Glossner
Comparison fields: 5 of 95
  • Hardware and Architecture 260
  • Computational Mathematics 10
  • Computer Vision and Pattern Recognition 285
  • Computer Networks and Communications 264
  • Signal Processing 117
Replace Chong‐Min Kyung with:
Chong‐Min Kyung South Korea
Suyog Gupta United States
Liu Liu China
Debbie Marr United States
Xue Liu China
Jose Nunez‐Yanez United Kingdom
Paul N. Whatmough United States
Kyle Rupnow United States
Azalia Mirhoseini United States
Walter Stechele Germany
John Glossner relative to Chong‐Min Kyung South Korea Chong‐Min Kyung's profile →
Citations per field
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Chong‐Min Kyung · 1×
Citations per year

Countries citing papers authored by John Glossner

Since Specialization
Citations

This map shows the geographic impact of John Glossner's research. 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 John Glossner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Glossner more than expected).

Fields of papers citing papers by John Glossner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Glossner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Glossner. The network helps show where John Glossner may publish in the future.

Co-authors

The 25 scholars most cited alongside John Glossner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Glossner Line = papers co-authored together John Glossner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pruning and quantization for deep neural network acceleration: A survey
Hit paper breakdown →
2021508
2 200371
3 200230
4 200426
5 200623
6 200723
7 200419
8 200619
9 200514
10
A Multithreaded Processor Architecture for SDR
200212
11 200712
12 200612
13
Multithreaded Processor for Software Defined Radio
200212
14 200511
15 200711
16
Sandblaster Low-Power Multithreaded SDR Baseband Processor
200410
17 200210
18 200510
19 20138
20 20098

About John Glossner

John Glossner is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics, having authored 69 papers that have together received 986 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (26 papers), Parallel Computing and Optimization Techniques (23 papers), Wireless Communication Networks Research (17 papers), Advanced Wireless Communication Techniques (15 papers), Numerical Methods and Algorithms (9 papers), Low-power high-performance VLSI design (8 papers), Digital Filter Design and Implementation (6 papers) and Advanced MIMO Systems Optimization (6 papers). The work is most often cited by research in Hardware and Architecture (260 citations), Computational Mathematics (10 citations), Computer Vision and Pattern Recognition (285 citations), Computer Networks and Communications (264 citations) and Signal Processing (117 citations). John Glossner has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Tailin Liang, Shi Shao-bo, Lei Wang, Mayan Moudgill, Michael Schulte, D. Iancu, Sanjay Jinturkar, Jin Lu, S. Vassiliadis and Stamatis Vassiliadis. Their work appears in journals such as Analog Integrated Circuits and Signal Processing, International Journal of Digital Multimedia Broadcasting, ACM Transactions on Embedded Computing Systems, IEEE Communications Magazine and Neurocomputing.

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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