Thomas H. Austin

1.9k total citations · 1 hit paper
41 papers, 1.0k citations indexed

About

Thomas H. Austin is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Thomas H. Austin has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 27 papers in Signal Processing and 22 papers in Computer Networks and Communications. Recurrent topics in Thomas H. Austin's work include Advanced Malware Detection Techniques (27 papers), Security and Verification in Computing (17 papers) and Network Security and Intrusion Detection (16 papers). Thomas H. Austin is often cited by papers focused on Advanced Malware Detection Techniques (27 papers), Security and Verification in Computing (17 papers) and Network Security and Intrusion Detection (16 papers). Thomas H. Austin collaborates with scholars based in United States, Italy and Japan. Thomas H. Austin's co-authors include Mark Stamp, Cormac Flanagan, Fabio Di Troia, Corrado Aaron Visaggio, Cormac Flanagan, Éric Filiol, Armando Solar-Lezama, Jean Yang, J. Jack Lee and Stephen Chong and has published in prestigious journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and Peer-to-Peer Networking and Applications.

In The Last Decade

Thomas H. Austin

38 papers receiving 981 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comparison of static, dynamic, and hybrid analysis for malware detection

2015 295 citations Fabio Di Troia, Corrado Aaron Visaggio et al. Journal of Computer Virology and Hacking Techniques profile →

Peers

Thomas H. Austin

SP

CNC

AI

IS

SOFTW

Jonathon Giffin United States

Matthias Neugschwandtner Austria

Prahlad Fogla United States

Davide Ariu Italy

Fredrik Valeur United States

Purui Su China

Monirul Sharif United States

Pongsin Poosankam United States

Somesh Jha United States

Juraj Somorovsky Germany

Jonathon Giffin United States

Thomas H. Austin

818 ×1.0

SP

510 ×0.7

CNC

683 ×1.2

AI

468 ×0.9

IS

136 ×0.9

SOFTW

Citations per year, relative to Thomas H. Austin Thomas H. Austin (= 1×) peers Jonathon Giffin

Countries citing papers authored by Thomas H. Austin

Since Specialization

Citations

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

Fields of papers citing papers by Thomas H. Austin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas H. Austin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Austin, Thomas H., et al.. (2019). Lock and Load: A Model for Free Blockchain Transactions through Token Locking. 19–28. 4 indexed citations

2.

Troia, Fabio Di, et al.. (2018). Autocorrelation Analysis of Financial Botnet Traffic. 599–606.

3.

Austin, Thomas H., et al.. (2018). Access Control Mechanism to Mitigate Cordova Plugin Attacks in Hybrid Applications. Journal of Information Processing. 26(0). 396–405. 3 indexed citations

4.

Austin, Thomas H., et al.. (2017). Access Control for Plugins in Cordova-Based Hybrid Applications. 1063–1069. 5 indexed citations

5.

Austin, Thomas H., et al.. (2017). Multiple Facets for Dynamic Information Flow with Exceptions. ACM Transactions on Programming Languages and Systems. 39(3). 1–56. 10 indexed citations

6.

Troia, Fabio Di, Corrado Aaron Visaggio, Thomas H. Austin, & Mark Stamp. (2016). Advanced transcriptase for JavaScript malware. 1–8. 2 indexed citations

7.

Troia, Fabio Di, et al.. (2016). Static Analysis of Malicious Java Applets. 58–63. 6 indexed citations

8.

Troia, Fabio Di, et al.. (2016). Clustering for malware classification. Journal of Computer Virology and Hacking Techniques. 13(2). 95–107. 36 indexed citations

9.

Troia, Fabio Di, et al.. (2015). Clustering versus SVM for malware detection. Journal of Computer Virology and Hacking Techniques. 12(4). 213–224. 16 indexed citations

10.

Troia, Fabio Di, et al.. (2015). A comparison of static, dynamic, and hybrid analysis for malware detection. Journal of Computer Virology and Hacking Techniques. 13(1). 1–12. 295 indexed citations breakdown →

11.

Yang, Jean, et al.. (2015). End-To-End Policy-Agnostic Security for Database-Backed Applications.. 5 indexed citations

12.

Austin, Thomas H., et al.. (2014). Hunting for metamorphic JavaScript malware. Journal of Computer Virology and Hacking Techniques. 11(2). 89–102. 17 indexed citations

13.

Austin, Thomas H., et al.. (2014). Dueling hidden Markov models for virus analysis. Journal of Computer Virology and Hacking Techniques. 11(2). 103–118. 21 indexed citations

14.

Austin, Thomas H., et al.. (2014). Singular value decomposition and metamorphic detection. Journal of Computer Virology and Hacking Techniques. 11(4). 203–216. 18 indexed citations

15.

Austin, Thomas H., et al.. (2013). Exploring Hidden Markov Models for Virus Analysis: A Semantic Approach. 5039–5048. 50 indexed citations

16.

Austin, Thomas H. & Cormac Flanagan. (2012). Multiple facets for dynamic information flow. ACM SIGPLAN Notices. 47(1). 165–178. 72 indexed citations

17.

Austin, Thomas H., et al.. (2011). Virtual values for language extension. ACM SIGPLAN Notices. 46(10). 921–938. 2 indexed citations

18.

Austin, Thomas H. & Cormac Flanagan. (2009). Efficient purely-dynamic information flow analysis. 113–124. 108 indexed citations

19.

Austin, Thomas H. & Cormac Flanagan. (2009). Efficient purely-dynamic information flow analysis (abstract only). ACM SIGPLAN Notices. 44(8). 6–6. 1 indexed citations

20.

Austin, Thomas H., et al.. (2007). Use of CSCL tool in Java applications programming. 30. 122–125. 1 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.

Explore authors with similar magnitude of impact