Ramesh Radhakrishnan

403 citations
23 papers · 284 · h-index 8

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Real-Time Systems Scheduling
    • Interconnection Networks and Systems
    • Advanced Data Storage Technologies
    • Distributed and Parallel Computing Systems
    • Distributed systems and fault tolerance

Papers in

Ramesh Radhakrishnan

17 papers receiving 265 citations

Peers

Ramesh Radhakrishnan
Comparison fields: 5 of 33
  • Hardware and Architecture 218
  • Computer Networks and Communications 147
  • Software 12
  • Signal Processing 27
  • Information Systems 42
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Citations per field
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Citations per year

Countries citing papers authored by Ramesh Radhakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Radhakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199866
2 200157
3 200044
4 200025
5 200120
6 200317
7 202314
8
Microarchitectural techniques to enable efficient java execution
200010
9 20207
10 20026
11 20005
12 19994
13 20023
14 20252
15 20042
16 20251
17 20051
18 20190
19 20260
20 20250

About Ramesh Radhakrishnan

Ramesh Radhakrishnan is a scholar working on Hardware and Architecture, Computer Networks and Communications, Orthopedics and Sports Medicine, Surgery and Artificial Intelligence, having authored 23 papers that have together received 284 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (5 papers), Embedded Systems Design Techniques (5 papers), Distributed and Parallel Computing Systems (5 papers), Distributed systems and fault tolerance (4 papers), Total Knee Arthroplasty Outcomes (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Hardware and Architecture (218 citations), Computer Networks and Communications (147 citations), Software (12 citations), Signal Processing (27 citations) and Information Systems (42 citations). Ramesh Radhakrishnan has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include Lizy K. John, Ravi Bhargava, Anand Sivasubramaniam, N. Vijaykrishnan, Brian L. Evans, J. Rubio, Joshua Oon Soo Goh, Andrew Hwee Chye Tan, Freeman L. Rawson and Eugene B John. Their work appears in journals such as IEEE Transactions on Computers, Journal of Orthopaedics, Lecture notes in computer science, Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine and Foot & Ankle Orthopaedics.

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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