Ram Krishnamurthy

4.9k citations
170 papers · 3.6k indexed · h-index 33

Ram Krishnamurthy

164 papers receiving 3.5k citations

Peers

Ram Krishnamurthy
Comparison fields: 5 of 74
  • Hardware and Architecture 1.6k
  • Electrical and Electronic Engineering 2.8k
  • Computational Theory and Mathematics 391
  • Computer Vision and Pattern Recognition 474
  • Artificial Intelligence 655
Replace Sanu Mathew with:
Sanu Mathew United States
Massimo Alioto Singapore
Amit Agarwal United States
Sherief Reda United States
Himanshu Kaul United States
Akash Kumar Germany
Mohsen Imani United States
Alessandro Trifiletti Italy
Michael Orshansky United States
André DeHon United States
Ram Krishnamurthy relative to Sanu Mathew United States Sanu Mathew's profile →
Citations per field
00.5×
Sanu Mathew · 1×
Citations per year

Countries citing papers authored by Ram Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Ram Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20240
4 20218
5 20215
6 202017
7 201943
8 201913
9 20193
10 20184
11 2015106
12 2014192
13 20149
14 201046
15 200960
16 20072
17
High-Performance Energy-Efficient Microprocessor Design (Series on Integrated Circuits and Systems)
20068
18 200559
19
High–performance, low–power, and leakage–tolerance challenges for sub–70nm microprocessor circuits
200211
20 19967

About Ram Krishnamurthy

Ram Krishnamurthy is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, General Energy and Computer Graphics and Computer-Aided Design, having authored 170 papers that have together received 3.6k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (87 papers), Advancements in Semiconductor Devices and Circuit Design (40 papers), Parallel Computing and Optimization Techniques (33 papers), Semiconductor materials and devices (30 papers), Interconnection Networks and Systems (26 papers), Advanced Memory and Neural Computing (25 papers), VLSI and Analog Circuit Testing (25 papers) and Analog and Mixed-Signal Circuit Design (19 papers). The work is most often cited by research in Hardware and Architecture (1.6k citations), Electrical and Electronic Engineering (2.8k citations), Computational Theory and Mathematics (391 citations), Computer Vision and Pattern Recognition (474 citations) and Artificial Intelligence (655 citations). Ram Krishnamurthy has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mark Anders, Sanu Mathew, Shekhar Borkar, Himanshu Kaul, Amit Agarwal, Steven Hsu, Steven K. Hsu, Sudhir Satpathy, Atila Alvandpour and Gregory K. Chen. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Solid-State Circuits Letters, Energy Sustainable Development and IEEE Signal Processing Magazine.

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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