Adrian Sampson

3.4k citations
50 papers · 2.5k indexed · 4 hit papers · h-index 19

Impact in

Papers in

    • Parallel Computing and Optimization Techniques 37
    • Embedded Systems Design Techniques 8
    • Software Testing and Debugging Techniques 5

Adrian Sampson

49 papers receiving 2.4k citations

Hit Papers

Neural Acceleration for General-Purpose Approximate Programs 2012 · 481 citations
4812011202620162021100200300400

Peers

Adrian Sampson
Comparison fields: 5 of 55
  • Hardware and Architecture 1.5k
  • Computer Networks and Communications 695
  • Electrical and Electronic Engineering 1.7k
  • Software 93
  • Computer Vision and Pattern Recognition 279
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Adrian Sampson relative to Sherief Reda United States Sherief Reda's profile →
Citations per field
00.5×3.4×
Sherief Reda · 1×
Citations per year

Countries citing papers authored by Adrian Sampson

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Sampson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20237
4 202211
5 20211
6 202128
7 202032
8 20202
9
Static Stages for Heterogeneous Programming
20173
10 20176
11 201541
12 20156
13 201525
14 201475
15
Tuning Approximate Computations with Constraint-Based Type Inference
20142
16 2013175
17 201344
18 201214
19 201256
20 20122

About Adrian Sampson

Adrian Sampson is a scholar working on Hardware and Architecture, Software, Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems, having authored 50 papers that have together received 2.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (37 papers), Low-power high-performance VLSI design (14 papers), Radiation Effects in Electronics (10 papers), Advanced Memory and Neural Computing (8 papers), Embedded Systems Design Techniques (8 papers), Cloud Computing and Resource Management (6 papers), Security and Verification in Computing (5 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (1.5k citations), Computer Networks and Communications (695 citations), Electrical and Electronic Engineering (1.7k citations), Software (93 citations) and Computer Vision and Pattern Recognition (279 citations). Adrian Sampson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Luís Ceze, Hadi Esmaeilzadeh, Doug Burger, Dan Grossman, Werner Dietl, Jacob Nelson, Karin Strauß, Thierry Moreau, Suren Jayasuriya and Todd Mytkowicz. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, IEEE Micro, Communications of the ACM and ACM Transactions on Computer 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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