John Glossner

1.7k total citations · 1 hit paper
69 papers, 986 citations indexed

About

John Glossner is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, John Glossner has authored 69 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 32 papers in Hardware and Architecture and 24 papers in Computer Networks and Communications. Recurrent topics in John Glossner's work include Embedded Systems Design Techniques (26 papers), Parallel Computing and Optimization Techniques (23 papers) and Wireless Communication Networks Research (17 papers). John Glossner is often cited by papers focused on Embedded Systems Design Techniques (26 papers), Parallel Computing and Optimization Techniques (23 papers) and Wireless Communication Networks Research (17 papers). John Glossner collaborates with scholars based in United States, Netherlands and Canada. John Glossner's co-authors include Shi Shao-bo, Lei Wang, Tailin Liang, Mayan Moudgill, Michael Schulte, D. Iancu, Sanjay Jinturkar, Jin Lu, S. Vassiliadis and Stamatis Vassiliadis and has published in prestigious journals such as IEEE Communications Magazine, Neurocomputing and ACM Transactions on Embedded Computing Systems.

In The Last Decade

John Glossner

62 papers receiving 902 citations

Hit Papers

Pruning and quantization for deep neural network accelera... 2021 2026 2022 2024 2021 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pruning and quantization for deep neural network acceleration: A survey
    2021 508 citations Tailin Liang, John Glossner et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Glossner United States 13 358 285 276 264 260 69 986
Walter Stechele Germany 18 434 1.2× 378 1.3× 155 0.6× 233 0.9× 437 1.7× 146 1.1k
Chong‐Min Kyung South Korea 17 418 1.2× 538 1.9× 195 0.7× 328 1.2× 449 1.7× 165 1.3k
Xue Liu China 16 194 0.5× 216 0.8× 193 0.7× 216 0.8× 112 0.4× 73 809
Horácio C. Neto Portugal 18 426 1.2× 183 0.6× 144 0.5× 194 0.7× 359 1.4× 89 876
Yangdong Deng China 20 366 1.0× 240 0.8× 143 0.5× 450 1.7× 467 1.8× 93 1.2k
Li Shang China 14 373 1.0× 337 1.2× 149 0.5× 203 0.8× 376 1.4× 54 1.0k
Kasem Khalil United States 16 368 1.0× 204 0.7× 297 1.1× 164 0.6× 166 0.6× 109 897
Jose Nunez‐Yanez United Kingdom 17 408 1.1× 219 0.8× 118 0.4× 310 1.2× 438 1.7× 123 979
Maurizio Martina Italy 16 545 1.5× 460 1.6× 282 1.0× 337 1.3× 123 0.5× 146 1.3k
Susmita Sur‐Kolay India 15 371 1.0× 162 0.6× 386 1.4× 243 0.9× 277 1.1× 99 1.1k

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-authorship network of co-authors of John Glossner

This figure shows the co-authorship network connecting the top 25 collaborators of John Glossner. A scholar is included among the top collaborators of John Glossner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Glossner. John Glossner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liang, Tailin, et al.. (2022). TCX: A RISC Style Tensor Computing Extension and a Programmable Tensor Processor. ACM Transactions on Embedded Computing Systems. 22(3). 1–27. 1 indexed citations
2.
Moudgill, Mayan, John Glossner, Wei Huang, et al.. (2020). Heterogeneous Edge CNN Hardware Accelerator. 636–641. 4 indexed citations
3.
Glossner, John, et al.. (2015). Game Design and Development Capstone Project Assessment Using Scrum. Papers on Engineering Education Repository (American Society for Engineering Education). 26.809.1–26.809.11. 2 indexed citations
4.
Choi, Seungwon, et al.. (2013). Implementation of LTE system on an SDR platform using CUDA and UHD. Analog Integrated Circuits and Signal Processing. 78(3). 599–610. 8 indexed citations
5.
Lee, Seunghak, et al.. (2012). Implementation of an SDR system using an MPI-based GPU cluster for WiMAX and LTE. Analog Integrated Circuits and Signal Processing. 73(2). 569–582. 7 indexed citations
6.
Schulte, Michael, et al.. (2011). Instructions and hardware designs for accelerating SNOW 3G on a software-defined radio platform. Analog Integrated Circuits and Signal Processing. 69(2-3). 207–218. 1 indexed citations
7.
8.
Moudgill, Mayan, et al.. (2009). The Sandblaster Software-Defined Radio Platform for Mobile 4G Wireless Communications. International Journal of Digital Multimedia Broadcasting. 2009. 1–9. 2 indexed citations
9.
Iancu, D., et al.. (2009). Multiband Antennas for SDR Applications. International Journal of Digital Multimedia Broadcasting. 2009. 1–9. 3 indexed citations
10.
Blem, Emily, et al.. (2009). Instruction set extensions for software defined radio. Microprocessors and Microsystems. 33(4). 260–272. 8 indexed citations
11.
Ye, Hua, et al.. (2008). Software-only implementation of DBV-H. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6821. 68210F–68210F. 3 indexed citations
12.
Glossner, John, Mayan Moudgill, Sanjay Jinturkar, et al.. (2008). Implementing communications systems on an SDR SoC. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. a. 5380–5383. 2 indexed citations
13.
Glossner, John, et al.. (2007). The Sandbridge SB3011 Platform. EURASIP Journal on Embedded Systems. 2007(1). 56467–56467. 12 indexed citations
14.
Iancu, D., et al.. (2007). Miniature multiband antennas for hand held WIMAX and WiFi application. i. 13–16. 6 indexed citations
15.
Schulte, Michael, et al.. (2006). Arithmetic Units for Software Defined Radio. 3133. 341–346. 1 indexed citations
16.
Ramadurai, Vaidyanathan, Sanjay Jinturkar, Mayan Moudgill, & John Glossner. (2005). Implementation of H. 264 Decoder on Sandblaster DSP. 694–698. 11 indexed citations
17.
Schulte, Michael, et al.. (2004). A static low-power, high-performance 32-bit carry skip adder. 615–619. 19 indexed citations
18.
Glossner, John, et al.. (2004). Sandblaster Low-Power Multithreaded SDR Baseband Processor. 45(3). 156–62. 10 indexed citations
19.
Schulte, Michael, et al.. (2004). A low-power carry skip adder with fast saturation. 269–279. 3 indexed citations
20.
Glossner, John, et al.. (2002). A Multithreaded Processor Architecture for SDR. 19(11). 70–84. 12 indexed citations

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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