Jonathan Beaumont

17 total papers · 441 total citations
3 papers, 20 citations indexed

Jonathan Beaumont is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Jonathan Beaumont has authored 3 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Hardware and Architecture. Recurrent topics in Jonathan Beaumont’s work include Parallel Computing and Optimization Techniques (2 papers), Graph Theory and Algorithms (1 paper) and Low-power high-performance VLSI design (1 paper). Jonathan Beaumont is often cited by papers focused on Parallel Computing and Optimization Techniques (2 papers), Graph Theory and Algorithms (1 paper) and Low-power high-performance VLSI design (1 paper). Jonathan Beaumont collaborates with scholars based in United States and United Kingdom. Jonathan Beaumont's co-authors include Ronald Dreslinski, Chaitali Chakrabarti, Dong-Hyeon Park, Siying Feng, Aporva Amarnath, Trevor Mudge, Michael Taylor, Hun-Seok Kim, David Jaz Myers and Austin Rovinski and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Edinburgh Research Explorer and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.