Greg Ruhl

1.9k citations
11 papers · 1.3k · 2 hit papers · h-index 11

Impact in

Papers in

Greg Ruhl

11 papers receiving 1.2k citations

Greg Ruhl's Hit Papers

A 48-Core IA-32 Processor in 45 nm CMOS Using On-Die Message-Passing and DVFS for Performance and Power Scaling 2010 · 326 citations
3260+6+12Years since publication100200300400500

Peers

Greg Ruhl
Comparison fields: 5 of 35
  • Hardware and Architecture 852
  • Computer Networks and Communications 958
  • Electrical and Electronic Engineering 724
  • Electronic, Optical and Magnetic Materials 96
  • Information Systems 60
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Citations per year

Countries citing papers authored by Greg Ruhl

Since Specialization
Citations

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

Fields of papers citing papers by Greg Ruhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
An 80-Tile Sub-100-W TeraFLOPS Processor in 65-nm CMOS
Hit paper breakdown →
2008503
2
A 48-Core IA-32 Processor in 45 nm CMOS Using On-Die Message-Passing and DVFS for Performance and Power Scaling
Hit paper breakdown →
2010326
3 2010165
4 201187
5 200973
6 200749
7 200330
8 200629
9 200821
10 200315
11 200310

About Greg Ruhl

Greg Ruhl is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics and Biomedical Engineering, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (6 papers), Low-power high-performance VLSI design (5 papers), Embedded Systems Design Techniques (4 papers), Parallel Computing and Optimization Techniques (4 papers), Semiconductor materials and devices (4 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Advancements in PLL and VCO Technologies (2 papers) and Radio Frequency Integrated Circuit Design (2 papers). The work is most often cited by research in Hardware and Architecture (852 citations), Computer Networks and Communications (958 citations), Electrical and Electronic Engineering (724 citations), Electronic, Optical and Magnetic Materials (96 citations) and Information Systems (60 citations). Greg Ruhl has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Nitin Borkar, Jason Howard, Sriram Vangal, Saurabh Dighe, Vasantha Erraguntla, Shailendra Jain, Shekhar Borkar, Yatin Hoskote, Tiju Jacob and James Tschanz. Their work appears in journals such as IEEE Journal of Solid-State Circuits.

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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