Charith Mendis

527 citations
24 papers · 218 · h-index 10

Impact in

Papers in

Charith Mendis

21 papers receiving 205 citations

Peers

Charith Mendis
Comparison fields: 5 of 30
  • Computational Mathematics 13
  • Hardware and Architecture 125
  • Computer Vision and Pattern Recognition 96
  • Software 16
  • Computer Networks and Communications 73
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Citations per field
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 202125
3 201515
4 202314
5
Compiler Auto-Vectorization with Imitation Learning
201913
6
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks
201913
7 202313
8 201910
9 202310
10 20229
11 20244
12 20244
13 20224
14
A Learned Performance Model for Tensor Processing Units
20213
15 20232
16 20162
17 20251
18 20251
19 20241
20 20241

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 Electrical and Electronic Engineering, having authored 24 papers that have together received 218 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Advanced Graph Neural Networks (5 papers), Embedded Systems Design Techniques (5 papers), Advanced Data Storage Technologies (4 papers), Advanced Neural Network Applications (3 papers), Graph Theory and Algorithms (3 papers), Software System Performance and Reliability (3 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Computational Mathematics (13 citations), Hardware and Architecture (125 citations), Computer Vision and Pattern Recognition (96 citations), Software (16 citations) and Computer Networks and Communications (73 citations). Charith Mendis has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Saman Amarasinghe, Vladimir Kiriansky, Yunming Zhang, Matei Zaharia, Michael Carbin, Yishen Chen, Yufeng Wang, Joel Emer, Josep Torrellas and Yewen Pu. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, Proceedings of the ACM on Management of Data, arXiv (Cornell University) and DSpace@MIT (Massachusetts Institute of Technology).

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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