Michael Pellauer

2.3k citations
56 papers · 1.6k · h-index 22

Impact in

Papers in

Michael Pellauer

54 papers receiving 1.6k citations

Peers

Michael Pellauer
Comparison fields: 5 of 53
  • Hardware and Architecture 1.1k
  • Computational Mathematics 57
  • Computer Networks and Communications 737
  • Computer Vision and Pattern Recognition 360
  • Electrical and Electronic Engineering 569
Replace Yakun Sophia Shao with:
Yakun Sophia Shao United States
Cody Hao Yu United States
Shengen Yan China
Jongse Park United States
Tayler Hetherington Canada
Angshuman Parashar United States
Anton Lokhmotov United Kingdom
Kalin Ovtcharov Canada
Minsoo Rhu South Korea
Ganesh Venkatesh United States
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Citations per field
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Yakun Sophia Shao · 1×
Citations per year

Countries citing papers authored by Michael Pellauer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pellauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019232
2 2019187
3 2020146
4 201396
5 201178
6 201975
7 201175
8 201451
9 202339
10 200736
11 201335
12 201335
13 201534
14 201833
15 200832
16 201231
17 201530
18 200829
19 202125
20 200524

About Michael Pellauer

Michael Pellauer is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Mathematics and Electrical and Electronic Engineering, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (39 papers), Embedded Systems Design Techniques (27 papers), Interconnection Networks and Systems (16 papers), Advanced Data Storage Technologies (12 papers), Advanced Neural Network Applications (8 papers), Distributed systems and fault tolerance (6 papers), Real-Time Systems Scheduling (4 papers) and Tensor decomposition and applications (4 papers). The work is most often cited by research in Hardware and Architecture (1.1k citations), Computational Mathematics (57 citations), Computer Networks and Communications (737 citations), Computer Vision and Pattern Recognition (360 citations) and Electrical and Electronic Engineering (569 citations). Michael Pellauer has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Angshuman Parashar, Joel Emer, Tushar Krishna, Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Michael W Adler, Daniel Lustig, Neal Clayton Crago and Margaret Martonosi. Their work appears in journals such as IEEE Micro, ACM Transactions on Computer Systems, ACM SIGPLAN Notices, ACM SIGMETRICS Performance Evaluation Review and ACM Transactions on Reconfigurable Technology and Systems.

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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