Jack Sampson

2.5k citations
83 papers · 2.0k indexed · h-index 19

Jack Sampson

78 papers receiving 1.9k citations

Peers

Jack Sampson
Comparison fields: 5 of 63
  • Hardware and Architecture 1.2k
  • Computer Networks and Communications 1.1k
  • Electrical and Electronic Engineering 1.0k
  • Information Systems 349
  • Computer Vision and Pattern Recognition 139
Replace G. De Micheli with:
G. De Micheli United States
Tom Burd United States
Keith I. Farkas United States
Cheng‐Kuan Lin Taiwan
Chia-Lin Yang Taiwan
Pedro López Spain
Alper Buyuktosunoglu United States
Ganesh Venkatesh United States
Vincenzo Catania Italy
Aviral Shrivastava United States
Jack Sampson relative to G. De Micheli United States G. De Micheli's profile →
Citations per field
00.5×10×15×21.8×
G. De Micheli · 1×
Citations per year

Countries citing papers authored by Jack Sampson

Since Specialization
Citations

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

Fields of papers citing papers by Jack Sampson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20228
4 20215
5 201922
6 201910
7 201812
8 201511
9 20156
10 20153
11 2015199
12 20142
13 20146
14 20146
15 2012104
16
Battery Provisioning and Associated Costs for Data Center Power Capping
20127
17
Quasi-ASICs: Trading Area for Energy by Exploiting Similarity in Synthesized Cores for Irregular Code
20110
18 201199
19 200681
20 200510

About Jack Sampson

Jack Sampson is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (43 papers), Interconnection Networks and Systems (19 papers), Advanced Memory and Neural Computing (18 papers), Low-power high-performance VLSI design (12 papers), Semiconductor materials and devices (10 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Energy Harvesting in Wireless Networks (8 papers) and CCD and CMOS Imaging Sensors (8 papers). The work is most often cited by research in Hardware and Architecture (1.2k citations), Computer Networks and Communications (1.1k citations) and Electrical and Electronic Engineering (1.0k citations). Jack Sampson has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Michael Taylor, Ganesh Venkatesh, Steven Swanson, Vijaykrishnan Narayanan, Saturnino Garcia, Jose Lugo-Martinez, Xueqing Li, Yuan Xie, Karthik Swaminathan and Vasileios Kontorinis. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Micro, ACM Transactions on Embedded Computing Systems, IEEE Consumer Electronics Magazine and IEEE Security & Privacy.

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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