Charith Mendis

631 citations
26 papers · 296 · h-index 10

Impact in

Papers in

Charith Mendis

22 papers receiving 287 citations

Peers

Charith Mendis
Comparison fields: 5 of 35
  • Hardware and Architecture 164
  • Computational Mathematics 13
  • Software 22
  • Computer Vision and Pattern Recognition 111
  • Computer Networks and Communications 91
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Citations per year

Countries citing papers authored by Charith Mendis

Since Specialization
Citations

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

Fields of papers citing papers by Charith Mendis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Charith Mendis, 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 Charith Mendis Line = papers co-authored together Charith Mendis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201783
2
goSLP: globally optimized superword level parallelism framework
201830
3 202129
4 202321
5 201919
6 201517
7
Compiler Auto-Vectorization with Imitation Learning
201916
8 202315
9 202313
10 202210
11 20229
12 20168
13 20245
14 20245
15 20253
16 20243
17 20252
18 20242
19 20232
20 20152

About Charith Mendis

Charith Mendis is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 26 papers that have together received 296 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (5 papers), Advanced Graph Neural Networks (5 papers), Embedded Systems Design Techniques (5 papers), Advanced Neural Network Applications (3 papers), Graph Theory and Algorithms (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Hardware and Architecture (164 citations), Computational Mathematics (13 citations), Software (22 citations), Computer Vision and Pattern Recognition (111 citations) and Computer Networks and Communications (91 citations). Charith Mendis has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Saman P. Amarasinghe, Matei Zaharia, Vladimir Kiriansky, Yunming Zhang, Yishen Chen, Michael Carbin, Yufeng Wang, Ondřej Sýkora, Joel Emer and Josep Torrellas. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, arXiv (Cornell University), DSpace@MIT (Massachusetts Institute of Technology) and Proceedings of the ACM on Management of Data.

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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