Jonathan Beaumont

445 total citations
10 papers, 321 citations indexed

About

Jonathan Beaumont is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan Beaumont has authored 10 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Hardware and Architecture and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan Beaumont's work include Parallel Computing and Optimization Techniques (7 papers), Interconnection Networks and Systems (4 papers) and Advanced Data Storage Technologies (4 papers). Jonathan Beaumont is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Interconnection Networks and Systems (4 papers) and Advanced Data Storage Technologies (4 papers). Jonathan Beaumont collaborates with scholars based in United States and United Kingdom. Jonathan Beaumont's co-authors include Trevor Mudge, Dong-Hyeon Park, Aporva Amarnath, Ronald Dreslinski, David Blaauw, Subhankar Pal, Chaitali Chakrabarti, Siying Feng, Hun-Seok Kim and Scott Mahlke 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.

In The Last Decade

Jonathan Beaumont

10 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Beaumont United States	7	202	152	109	87	85	10	321
Dong-Hyeon Park United States	7	196 1.0×	131 0.9×	115 1.1×	86 1.0×	106 1.2×	8	312
Oleksandr Zinenko United States	6	256 1.3×	120 0.8×	58 0.5×	132 1.5×	63 0.7×	11	373
Tyler Smith United States	6	189 0.9×	133 0.9×	48 0.4×	74 0.9×	42 0.5×	13	260
Mehdi Amini United States	5	198 1.0×	105 0.7×	50 0.5×	124 1.4×	56 0.7×	6	316
Jacques A. Pienaar United States	8	243 1.2×	145 1.0×	58 0.5×	113 1.3×	61 0.7×	8	369
Jiannan Tian United States	11	126 0.6×	150 1.0×	87 0.8×	143 1.6×	40 0.5×	29	344
Naser Sedaghati United States	9	311 1.5×	258 1.7×	59 0.5×	79 0.9×	87 1.0×	11	394
Kartik Hegde United States	3	147 0.7×	89 0.6×	80 0.7×	77 0.9×	64 0.8×	5	234
Size Zheng China	8	185 0.9×	80 0.5×	115 1.1×	82 0.9×	85 1.0×	18	287
Po-An Tsai United States	12	280 1.4×	238 1.6×	65 0.6×	90 1.0×	87 1.0×	23	382

Countries citing papers authored by Jonathan Beaumont

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Beaumont

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Beaumont

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Beaumont. A scholar is included among the top collaborators of Jonathan Beaumont 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 Jonathan Beaumont. Jonathan Beaumont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Park, Dong-Hyeon, Subhankar Pal, Siying Feng, et al.. (2020). A 7.3 M Output Non-Zeros/J, 11.7 M Output Non-Zeros/GB Reconfigurable Sparse Matrix–Matrix Multiplication Accelerator. IEEE Journal of Solid-State Circuits. 55(4). 933–944. 14 indexed citations

2.

Pal, Subhankar, Siying Feng, Dong-Hyeon Park, et al.. (2020). Transmuter. Edinburgh Research Explorer. 175–190. 14 indexed citations

3.

Pal, Subhankar, Dong-Hyeon Park, Siying Feng, et al.. (2019). A 7.3 M Output Non-Zeros/J Sparse Matrix-Matrix Multiplication Accelerator using Memory Reconfiguration in 40 nm. C150–C151. 6 indexed citations

4.

Pal, Subhankar, Dong-Hyeon Park, Siying Feng, et al.. (2019). A 7.3 M Output Non-Zeros/J Sparse Matrix-Matrix Multiplication Accelerator using Memory Reconfiguration in 40 nm. C150–C151. 10 indexed citations

5.

Pal, Subhankar, Jonathan Beaumont, Dong-Hyeon Park, et al.. (2018). OuterSPACE: An Outer Product Based Sparse Matrix Multiplication Accelerator. 724–736. 190 indexed citations

6.

Beaumont, Jonathan, et al.. (2017). Regless. 151–164. 25 indexed citations

7.

Park, Dong-Hyeon, Jonathan Beaumont, & Trevor Mudge. (2017). Accelerating Smith-Waterman Alignment Workload with Scalable Vector Computing. 12. 661–668. 3 indexed citations

8.

Beaumont, Jonathan, et al.. (2015). WarpPool. 433–444. 27 indexed citations

9.

Beaumont, Jonathan, et al.. (1994). <title>Software codec for personal computers based on the discrete cosine transform</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2187. 158–165. 3 indexed citations

10.

Beaumont, Jonathan. (1990). Advances in block based fractal coding of still pictures. 29 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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