T. Austin

6.9k total citations · 4 hit papers
39 papers, 5.0k citations indexed

About

T. Austin is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, T. Austin has authored 39 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hardware and Architecture, 27 papers in Electrical and Electronic Engineering and 12 papers in Computer Networks and Communications. Recurrent topics in T. Austin's work include Low-power high-performance VLSI design (18 papers), Parallel Computing and Optimization Techniques (18 papers) and Radiation Effects in Electronics (18 papers). T. Austin is often cited by papers focused on Low-power high-performance VLSI design (18 papers), Parallel Computing and Optimization Techniques (18 papers) and Radiation Effects in Electronics (18 papers). T. Austin collaborates with scholars based in United States and United Kingdom. T. Austin's 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 and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Computer and IEEE Transactions on Computers.

In The Last Decade

T. Austin

38 papers receiving 4.8k citations

Hit Papers

SimpleScalar: an infrastructure for computer system modeling 2002 2026 2010 2018 2002 2003 2004 2004 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T. Austin United States 23 3.6k 3.1k 1.8k 322 305 39 5.0k
Luca P. Carloni United States 35 3.2k 0.9× 2.3k 0.7× 2.0k 1.2× 474 1.5× 236 0.8× 206 5.2k
Krisztián Flautner United States 34 5.0k 1.4× 4.3k 1.4× 2.5k 1.4× 242 0.8× 404 1.3× 67 6.9k
André DeHon United States 34 2.6k 0.7× 2.2k 0.7× 1.5k 0.9× 440 1.4× 470 1.5× 149 4.1k
Daniel Ernst United States 9 2.7k 0.7× 4.4k 1.4× 2.7k 1.5× 648 2.0× 134 0.4× 30 5.6k
Matthew R. Guthaus United States 16 2.0k 0.5× 3.1k 1.0× 1.9k 1.1× 542 1.7× 103 0.3× 70 4.0k
N. Vijaykrishnan United States 48 4.3k 1.2× 4.5k 1.4× 4.0k 2.3× 471 1.5× 193 0.6× 199 7.2k
Ken Mai United States 30 2.4k 0.7× 2.5k 0.8× 2.5k 1.4× 408 1.3× 153 0.5× 100 4.3k
Akash Kumar Germany 32 2.2k 0.6× 2.3k 0.7× 1.7k 0.9× 432 1.3× 248 0.8× 333 4.1k
Alex Yakovlev United Kingdom 27 2.5k 0.7× 2.2k 0.7× 1.2k 0.7× 501 1.6× 401 1.3× 498 4.3k
Jason Cong United States 40 4.5k 1.2× 3.5k 1.1× 1.4k 0.8× 300 0.9× 155 0.5× 164 5.6k

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 of co-authors of T. Austin

This figure shows the co-authorship network connecting the top 25 collaborators of T. Austin. A scholar is included among the top collaborators of T. Austin 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 T. Austin. T. Austin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Arthur, W. Brian, et al.. (2013). Schnauzer: scalable profiling for likely security bug sites. 1–11. 2 indexed citations
2.
Chen, Liping, Xin Fu, Siva Kumar Sastry Hari, et al.. (2012). CrashTest'ing SWAT: Accurate, gate-level evaluation of symptom-based resiliency solutions. 1106–1109. 19 indexed citations
3.
Chen, Liping, Xin Fu, Siva Kumar Sastry Hari, et al.. (2012). CrashTest'ing SWAT: accurate, gate-level evaluation of symptom-based resiliency solutions. Design, Automation, and Test in Europe. 1106–1109. 15 indexed citations
4.
Bao, Yu, et al.. (2012). Scene Understanding for the Visually Impaired Using Visual Sonification by Visual Feature Analysis and Auditory Signatures. Journal of Vision. 12(9). 804–804. 1 indexed citations
5.
Wagner, Ilya, Valeria Bertacco, & T. Austin. (2008). Using Field-Repairable Control Logic to Correct Design Errors in Microprocessors. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 27(2). 380–393. 14 indexed citations
6.
Wagner, Ilya, Valeria Bertacco, & T. Austin. (2006). Shielding against design flaws with field repairable control logic. Proceedings - ACM IEEE Design Automation Conference. 4 indexed citations
7.
Das, Shidhartha, David Roberts, Sanjay Pant, et al.. (2006). A Self-Tuning Dynamic Voltage Scaled Processor Using Delay-Error Detection and Correction. 1–4.
8.
Zhai, Bin, Leyla Nazhandali, Javin Olson, et al.. (2006). A 2.60pJ/Inst Subthreshold Sensor Processor for Optimal Energy Efficiency. 154–155. 138 indexed citations
9.
Das, Shidhartha, Sanjay Pant, David Roberts, et al.. (2005). A self-tuning dvs processor using delay-error detection and correction. 97. 258–261. 61 indexed citations
10.
Austin, T., Valeria Bertacco, David Blaauw, & Trevor Mudge. (2005). Opportunities and challenges for better than worst-case design. 1. I/2–I/7. 17 indexed citations
11.
Kaul, Himanshu, Dennis Sylvester, David Blaauw, Trevor Mudge, & T. Austin. (2005). DVS for On-Chip Bus Designs Based on Timing Error Correction. Design, Automation, and Test in Europe. 80–85. 9 indexed citations
12.
Austin, T., David Blaauw, Trevor Mudge, & Krisztián Flautner. (2004). Making typical silicon matter with Razor. Computer. 37(3). 57–65. 116 indexed citations
13.
Ernst, Daniel, Shidhartha Das, Sang Hyun Lee, et al.. (2004). Razor: circuit-level correction of timing errors for low-power operation. IEEE Micro. 24(6). 10–20. 293 indexed citations
14.
Austin, T., David Blaauw, Scott Mahlke, et al.. (2004). Mobile supercomputers. Computer. 37(5). 81–83. 33 indexed citations
15.
Mukherjee, S., Christopher Weaver, Joel Emer, S.K. Reinhardt, & T. Austin. (2003). Measuring architectural vulnerability factors. IEEE Micro. 23(6). 70–75. 75 indexed citations
16.
Austin, T., Trevor Mudge, Krisztián Flautner, et al.. (2003). Leakage current: Moore's law meets static power. Computer. 36(12). 68–75. 843 indexed citations breakdown →
17.
Wu, Lisa, Christopher Weaver, & T. Austin. (2002). CryptoManiac: a fast flexible architecture for secure communication. 110–119. 30 indexed citations
18.
Mukherjee, S., Sarita V. Adve, T. Austin, Joel Emer, & Peter Magnusson. (2002). Performance simulation tools. Computer. 35(2). 38–39. 21 indexed citations
19.
Reinman, Glenn, Brad Calder, & T. Austin. (2001). Optimizations enabled by a decoupled front-end architecture. IEEE Transactions on Computers. 50(4). 338–355. 33 indexed citations
20.
Klauser, Artur, T. Austin, Dirk Grunwald, & Brad Calder. (1998). Dynamic hammock predication for non-predicated instruction set architectures. International Conference on Parallel Architectures and Compilation Techniques. 278–285. 38 indexed citations

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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