Michael Riepen

1.3k citations
4 papers · 459 indexed · 1 hit paper · h-index 3

Impact in

Papers in

Michael Riepen

4 papers receiving 436 citations

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 · 303 citations
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Peers

Michael Riepen
Comparison fields: 5 of 25
  • Hardware and Architecture 337
  • Computer Networks and Communications 353
  • 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
Gwangsun Kim South Korea
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Michael Riepen relative to Jieming Yin United States Jieming Yin's profile →
Citations per field
00.5×3.9×
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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-authorship network

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
Connecting the Cloud: Transparent and Flexible Communication for a Cluster of Intel SCCs.
20121
2 201116
3
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 →
2010303
4 2010139

About Michael Riepen

Michael Riepen is a scholar working on Hardware and Architecture, Computer Networks and Communications, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 459 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 (337 citations), Computer Networks and Communications (353 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 Saurabh Dighe, Nitin Borkar, Greg Ruhl, Jason Howard, Sriram Vangal, Matthias Gries, Michael Konow, Shekhar Borkar, Shailendra Jain and Rob Van der Wijngaart. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Computing in Science & Engineering 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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