Suvinay Subramanian

1.4k citations
23 papers · 939 indexed · 1 hit paper · h-index 15
Topics
Parallel Computing and Optimization Techniques (14 papers)Interconnection Networks and Systems (9 papers)Cloud Computing and Resource Management (6 papers)
Journals
ComputerIEEE MicroDSpace@MIT (Massachusetts Institute of Technology)

In The Last Decade

Suvinay Subramanian

22 papers receiving 909 citations

Hit Papers

TPU v4: An Optically Reconfigurable Supercomputer for Mac...2023202620242025202350100150200

Peers

Suvinay Subramanian
Comparison fields: 5 of 52
  • Computer Networks and Communications 694
  • Hardware and Architecture 431
  • Electrical and Electronic Engineering 342
  • Information Systems 180
  • Artificial Intelligence 122
Replace Jae W. Lee with:
Jae W. Lee South Korea
Ali Bakhoda Canada
Michael Papamichael United States
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Pejman Lotfi-Kamran Iran
Dezun Dong China
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Suvinay Subramanian relative to Jae W. Lee South Korea Jae W. Lee's profile →
Citations per field
00.5×1.5×1.8×
Jae W. Lee · 1×
Citations per year

Countries citing papers authored by Suvinay Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Suvinay Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvinay Subramanian

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddingsbreakdown →
215
3 8
4 15
5 8
6 5
7
Application of fuzzy soft matrices in medical diagnosis
1
8 22
9 16
10 199
11 63
12 24
13 46
14 1
15 89
16 51
17 48
18 19
19
AN ADAPTIVE ALGORITHM FOR DYNAMIC PRIORITY BASED VIRTUAL MACHINE SCHEDULING IN CLOUD
15
20
Placement of Storage Nodes in a Network
2

About Suvinay Subramanian

Suvinay Subramanian is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 23 papers that have together received 939 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Interconnection Networks and Systems (9 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Hardware and Architecture (431 citations), Computer Networks and Communications (694 citations) and Computational Mathematics (8 citations). Suvinay Subramanian has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Tushar Krishna, Chia-Hsin Owen Chen, Li-Shiuan Peh, Anantha P. Chandrakasan, Hari Balakrishnan, Anirudh Sivaraman, Sunghyun Park, Daniel Sánchez, Joel Emer and Tom Edsall. Their work appears in journals such as Computer, IEEE Micro 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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