Markus Happe

539 citations
25 papers · 412 · h-index 12

Impact in

Papers in

Markus Happe

22 papers receiving 400 citations

Peers

Markus Happe
Comparison fields: 5 of 35
  • Hardware and Architecture 203
  • Computer Networks and Communications 178
  • Computer Vision and Pattern Recognition 74
  • Signal Processing 36
  • Electrical and Electronic Engineering 147
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Citations per field
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Citations per year

Countries citing papers authored by Markus Happe

Since Specialization
Citations

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

Fields of papers citing papers by Markus Happe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Markus Happe, 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 Markus Happe Line = papers co-authored together Markus Happe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201139
3 201539
4 201137
5 201533
6 201827
7 201225
8 201218
9 201718
10 201417
11 201414
12 201312
13 201311
14 20149
15 20098
16 20094
17 20154
18 20153
19 20162
20
Hardware/Software Platform for Self-aware Compute Nodes
20122

About Markus Happe

Markus Happe is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 412 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Embedded Systems Design Techniques (7 papers), Software-Defined Networks and 5G (5 papers), Radiation Effects in Electronics (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Interconnection Networks and Systems (3 papers) and Low-power high-performance VLSI design (3 papers). The work is most often cited by research in Hardware and Architecture (203 citations), Computer Networks and Communications (178 citations), Computer Vision and Pattern Recognition (74 citations), Signal Processing (36 citations) and Electrical and Electronic Engineering (147 citations). Markus Happe has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Christian Plessl, Marco Platzner, Ariane Keller, Enno Lübbers, Vincent Lenders, Bernhard Plattner, Laurent Vanbever, Bernhard Ager, Stephan Neuhaus and Peter Kling. Their work appears in journals such as IEEE Micro, ACM Transactions on Reconfigurable Technology and Systems, ACM SIGCOMM Computer Communication Review, Lecture notes in computer science and Natural computing series.

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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