Marco Platzner

3.5k citations
176 papers · 1.9k · h-index 21

Impact in

Papers in

Marco Platzner

159 papers receiving 1.8k citations

Peers

Marco Platzner
Comparison fields: 5 of 88
  • Hardware and Architecture 1.2k
  • Computer Networks and Communications 857
  • Artificial Intelligence 336
  • Cellular and Molecular Neuroscience 150
  • Human-Computer Interaction 45
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Antonio Pullini Italy
Fadi Kurdahi United States
Gi-Joon Nam United States
Jiang Hu United States
Anup Das United States
Houman Homayoun United States
Gunar Schirner United States
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Alice C. Parker United States
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Marco Platzner

Since Specialization
Citations

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

Fields of papers citing papers by Marco Platzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004181
2 2009106
3 2004102
4 201683
5 201081
6 201372
7 200756
8 200450
9 200338
10
Reconfigurable Hardware Operating Systems: From Design Concepts to Realizations
200335
11 200435
12 200934
13 201430
14 201129
15 202027
16 200326
17 201226
18 202125
19 200625
20 200424

About Marco Platzner

Marco Platzner is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 176 papers that have together received 1.9k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (87 papers), Parallel Computing and Optimization Techniques (66 papers), Interconnection Networks and Systems (47 papers), Real-Time Systems Scheduling (20 papers), Low-power high-performance VLSI design (19 papers), VLSI and FPGA Design Techniques (16 papers), VLSI and Analog Circuit Testing (14 papers) and Neuroscience and Neural Engineering (13 papers). The work is most often cited by research in Hardware and Architecture (1.2k citations), Computer Networks and Communications (857 citations), Artificial Intelligence (336 citations), Cellular and Molecular Neuroscience (150 citations) and Human-Computer Interaction (45 citations). Marco Platzner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Herbert Walder, Enno Lübbers, Christoph Steiger, Christian Plessl, Paul Kaufmann, Bernhard Rinner, Markus Happe, Paul Kaufmann, Kevin Englehart and Lothar Thiele. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Computers, ACM Transactions on Reconfigurable Technology and Systems, IEEE Access and IEEE Micro.

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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