Richard Veras

1.0k total citations · 1 hit paper
11 papers, 698 citations indexed

About

Richard Veras is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Richard Veras has authored 11 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hardware and Architecture, 8 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Richard Veras's work include Parallel Computing and Optimization Techniques (9 papers), Advanced Data Storage Technologies (6 papers) and Distributed and Parallel Computing Systems (4 papers). Richard Veras is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Advanced Data Storage Technologies (6 papers) and Distributed and Parallel Computing Systems (4 papers). Richard Veras collaborates with scholars based in United States and Switzerland. Richard Veras's co-authors include Jamie Liu, Onur Mutlu, Franz Franchetti, Louis-Noël Pouchet, P. Sadayappan, J. Ramanujam, Tom Henretty, Martin Kong, Kevin Stock and Tze Meng Low and has published in prestigious journals such as Proceedings of the IEEE, ACM SIGPLAN Notices and Figshare.

In The Last Decade

Richard Veras

10 papers receiving 670 citations

Hit Papers

align trajectories

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.

RAIDR

2012 335 citations Jamie Liu, Richard Veras et al. ACM SIGARCH Computer Architecture News profile →

Peers

Richard Veras

HA

CNC

EEE

AI

IS

Larkhoon Leem United States

Perhaad Mistry United States

Amin Farmahini-Farahani United States

Jesús Corbal Spain

William J. Starke United States

David Novo Switzerland

Marc Casas Spain

Simon David Hammond United States

Peng Du China

Jacqueline Chame United States

Larkhoon Leem United States

Richard Veras

636 ×1.2

HA

459 ×1.1

CNC

396 ×1.2

EEE

63 ×0.8

AI

109 ×1.8

IS

Citations per year, relative to Richard Veras Richard Veras (= 1×) peers Larkhoon Leem

Countries citing papers authored by Richard Veras

Since Specialization

Citations

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

Fields of papers citing papers by Richard Veras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Veras

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

All Works

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11 of 11 papers shown

1.

Radhakrishnan, Sridhar, et al.. (2021). On Large-Scale Matrix-Matrix Multiplication On Compressed Structures. 2021 IEEE International Conference on Big Data (Big Data). 5. 2976–2985. 1 indexed citations

2.

Franchetti, Franz, Tze Meng Low, Richard Veras, et al.. (2018). SPIRAL: Extreme Performance Portability. Proceedings of the IEEE. 106(11). 1935–1968. 48 indexed citations

3.

Veras, Richard & Franz Franchetti. (2017). A scale-free structure for real world networks. 11. 1–7.

4.

Veras, Richard, Tze Meng Low, & Franz Franchetti. (2016). A scale-free structure for power-law graphs. 11. 1–7. 2 indexed citations

5.

Veras, Richard, et al.. (2016). Compilers, hands-off my hands-on optimizations. 1–8. 1 indexed citations

6.

Kong, Martin, Richard Veras, Kevin Stock, et al.. (2013). When polyhedral transformations meet SIMD code generation. ACM SIGPLAN Notices. 48(6). 127–138. 15 indexed citations

7.

Kong, Martin, Richard Veras, Kevin Stock, et al.. (2013). When polyhedral transformations meet SIMD code generation. 127–138. 75 indexed citations

8.

Henretty, Tom, Justin Holewinski, Richard Veras, et al.. (2013). A Domain-Specific Language and Compiler for Stencil Computations on Short-Vector SIMD and GPU Architectures. 1 indexed citations

9.

Henretty, Tom, Richard Veras, Franz Franchetti, et al.. (2013). A stencil compiler for short-vector SIMD architectures. Civil War Book Review. 13–24. 89 indexed citations

10.

Liu, Jamie, et al.. (2012). RAIDR. ACM SIGARCH Computer Architecture News. 40(3). 1–12. 335 indexed citations breakdown →

11.

Liu, Jamie, et al.. (2012). RAIDR: Retention-aware intelligent DRAM refresh. Figshare. 1–12. 131 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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