Megan Wachs

15 papers receiving 792 citations

Hit Papers

Understanding sources of inefficiency in general-purpose ...20102026201520202010100200300

Peers

Megan Wachs
Comparison fields: 5 of 70
  • Hardware and Architecture 392
  • Computer Networks and Communications 318
  • Electrical and Electronic Engineering 295
  • Computer Vision and Pattern Recognition 156
  • Cognitive Neuroscience 144
Replace Alexander Marquardt with:
Alexander Marquardt Germany
Alex Nicolau United States
Frank K. Gürkaynak Switzerland
Anju P. Johnson United Kingdom
H. Ekin Sumbul United States
Ling Liang United States
Jim Garside United Kingdom
Éric Flamand Italy
Antonio Pullini Italy
Anirban Nag United States
Megan Wachs relative to Alexander Marquardt Germany Alexander Marquardt's profile →
Citations per field
00.5×1.5×1.9×
Alexander Marquardt · 1×
Citations per year

Countries citing papers authored by Megan Wachs

Since Specialization
Citations

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

Fields of papers citing papers by Megan Wachs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Wachs

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Wachs. A scholar is included among the top collaborators of Megan Wachs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Megan Wachs. Megan Wachs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2
Smart Memories Polymorphic Chip Multiprocessor
0
3 158
4 0
5 34
6 24
7 4
8 59
9
Understanding sources of inefficiency in general-purpose chipsbreakdown →
318
10 83
11 9
12 16
13 14
14 50
15 15
16 15
17 27

About Megan Wachs

Megan Wachs is a scholar working on Hardware and Architecture, Signal Processing and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 827 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (9 papers), Parallel Computing and Optimization Techniques (6 papers) and VLSI and FPGA Design Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (392 citations), Computer Networks and Communications (318 citations) and Computer Vision and Pattern Recognition (156 citations). Megan Wachs has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Mark Horowitz, Stephen Richardson, Omid Azizi, Alex Solomatnikov, Wajahat Qadeer, Rehan Hameed, Benjamin C. Lee, Christos Kozyrakis, Philip Levis and Ofer Shacham. Their work appears in journals such as Nature Neuroscience, Communications of the ACM 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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