T. Austin

6.9k citations
39 papers · 5.0k indexed · 4 hit papers · h-index 23

T. Austin

38 papers receiving 4.8k citations

Hit Papers

Razor: a low-power pipeline based on circuit-level timing...64520022026201020182505007501000

Peers

T. Austin
Comparison fields: 5 of 73
  • Hardware and Architecture 3.1k
  • Computer Networks and Communications 1.8k
  • Electrical and Electronic Engineering 3.6k
  • Software 149
  • Artificial Intelligence 322
Replace Daniel Ernst with:
Daniel Ernst United States
N. Vijaykrishnan United States
Dhiraj K. Pradhan United States
Matthew R. Guthaus United States
Luca P. Carloni United States
Pedro Reviriego Spain
Krisztián Flautner United States
Akash Kumar Germany
Sanjay J. Patel United States
Michael Wirthlin United States
T. Austin relative to Daniel Ernst United States Daniel Ernst's profile →
Citations per field
00.5×1.5×
Daniel Ernst · 1×
Citations per year

Countries citing papers authored by T. Austin

Since Specialization
Citations

This map shows the geographic impact of T. Austin'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 T. Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Austin more than expected).

Fields of papers citing papers by T. Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20132
2 201219
3 201215
4 20121
5 200814
6 20064
7 20060
8 2006138
9 200561
10 200517
11 20059
12 2004116
13 2004293
14 200433
15 200375
16
Leakage current: Moore's law meets static powerbreakdown →
2003843
17 200230
18 200221
19 200133
20 199838

About T. Austin

T. Austin is a scholar working on Hardware and Architecture, Software, Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 39 papers that have together received 5.0k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (18 papers), Parallel Computing and Optimization Techniques (18 papers), Radiation Effects in Electronics (18 papers), VLSI and Analog Circuit Testing (11 papers), Advanced Memory and Neural Computing (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Advanced Data Storage Technologies (4 papers) and Interconnection Networks and Systems (4 papers). The work is most often cited by research in Hardware and Architecture (3.1k citations), Computer Networks and Communications (1.8k citations), Electrical and Electronic Engineering (3.6k citations), Software (149 citations) and Artificial Intelligence (322 citations). T. Austin has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Daniel Ernst, Eric D. Larson, Trevor Mudge, Krisztián Flautner, David Blaauw, Christopher Weaver, Shidhartha Das, S. Mukherjee, Joel Emer and S.K. Reinhardt. Their work appears in journals such as Computer, IEEE Micro, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Vision and IEEE Transactions on Very Large Scale Integration (VLSI) 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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