Michael Riepen

1.3k citations
4 papers · 460 · 1 hit paper · h-index 3

Impact in

Papers in

Michael Riepen

4 papers receiving 437 citations

Michael Riepen'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 · 304 citations
3040+5+10Years since publication100200300

Peers

Michael Riepen
Comparison fields: 5 of 25
  • Hardware and Architecture 338
  • Computer Networks and Communications 354
  • Electrical and Electronic Engineering 206
  • Information Systems 43
  • Electronic, Optical and Magnetic Materials 32
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Jieming Yin United States
Frédéric Pétrot France
Ki Hwan Yum United States
Zvika Guz United States
Thomas L. Rodeheffer United States
Gwangsun Kim South Korea
Akhilesh Kumar United States
Debendra Das Sharma United States
Tom Van Court United States
L. Hsu United States
Michael Riepen relative to Jieming Yin United States Jieming Yin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Riepen

Since Specialization
Citations

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

Fields of papers citing papers by Michael Riepen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Michael Riepen, 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 Michael Riepen Line = papers co-authored together Michael Riepen links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
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 →
2010304
2 2010139
3 201116
4
Connecting the Cloud: Transparent and Flexible Communication for a Cluster of Intel SCCs.
20121

About Michael Riepen

Michael Riepen is a scholar working on Computer Networks and Communications, Hardware and Architecture, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 460 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Interconnection Networks and Systems (4 papers), Distributed and Parallel Computing Systems (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (338 citations), Computer Networks and Communications (354 citations), Electrical and Electronic Engineering (206 citations), Information Systems (43 citations) and Electronic, Optical and Magnetic Materials (32 citations). Michael Riepen has collaborated with scholars based in Germany and United States. Frequent co-authors include Sriram Vangal, Nitin Borkar, Saurabh Dighe, Jason Howard, Greg Ruhl, Michael Konow, Matthias Gries, Vivek De, Vasantha Erraguntla and Rob Van der Wijngaart. Their work appears in journals such as Computing in Science & Engineering, IEEE Journal of Solid-State Circuits and RWTH Publications (RWTH Aachen).

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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