Guy Boudoukh

533 citations
3 papers · 359 · 1 hit paper · h-index 3

Impact in

Papers in

Guy Boudoukh

3 papers receiving 343 citations

Guy Boudoukh's Hit Papers

Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? 2017 · 342 citations
3420+3+6Years since publication100200300

Peers

Guy Boudoukh
Comparison fields: 5 of 52
  • Hardware and Architecture 95
  • Computer Vision and Pattern Recognition 180
  • Computational Mathematics 4
  • Electrical and Electronic Engineering 189
  • Artificial Intelligence 114
Replace Sehwan Lee with:
Sehwan Lee South Korea
Jeng-Hau Lin United States
Philipp Gysel United States
Andre Guntoro Germany
Mark Charlebois Canada
Bahar Asgari United States
Roel Uytterhoeven Belgium
Hamzah A. Abdel-Aziz United States
Hasan Genc United States
Shixuan Zheng China
Guy Boudoukh relative to Sehwan Lee South Korea Sehwan Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guy Boudoukh

Since Specialization
Citations

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

Fields of papers citing papers by Guy Boudoukh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Boudoukh. 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 Guy Boudoukh. The network helps show where Guy Boudoukh may publish in the future.

Co-authors

The 9 scholars most cited alongside Guy Boudoukh, 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 Guy Boudoukh Line = papers co-authored together Guy Boudoukh links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?
Hit paper breakdown →
2017342
2 201911
3 20096

About Guy Boudoukh

Guy Boudoukh is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Insect Science, having authored 3 papers that have together received 359 indexed citations. Recurring topics across this work include Image Enhancement Techniques (1 paper), Low-power high-performance VLSI design (1 paper), Embedded Systems Design Techniques (1 paper), Topic Modeling (1 paper), Video Surveillance and Tracking Methods (1 paper), Speech Recognition and Synthesis (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (95 citations), Computer Vision and Pattern Recognition (180 citations), Computational Mathematics (4 citations), Electrical and Electronic Engineering (189 citations) and Artificial Intelligence (114 citations). Guy Boudoukh has collaborated with scholars based in Israel and United States. Frequent co-authors include Debbie Marr, Eriko Nurvitadhi, Duncan J. M. Moss, Suchit Subhaschandra, Ganesh Venkatesh, Jaewoong Sim, Randy Huang, Ehud Rivlin and Ido Leichter. Their work appears in journals such as arXiv (Cornell University).

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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