Stephen McCamant

4.3k total citations · 3 hit papers
60 papers, 2.6k citations indexed

About

Stephen McCamant is a scholar working on Artificial Intelligence, Signal Processing and Software. According to data from OpenAlex, Stephen McCamant has authored 60 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 29 papers in Signal Processing and 29 papers in Software. Recurrent topics in Stephen McCamant's work include Advanced Malware Detection Techniques (29 papers), Software Testing and Debugging Techniques (28 papers) and Security and Verification in Computing (27 papers). Stephen McCamant is often cited by papers focused on Advanced Malware Detection Techniques (29 papers), Software Testing and Debugging Techniques (28 papers) and Security and Verification in Computing (27 papers). Stephen McCamant collaborates with scholars based in United States, South Africa and Egypt. Stephen McCamant's co-authors include Dawn Song, Michael D. Ernst, Philip J. Guo, Jeff Perkins, Pongsin Poosankam, Carlos Pacheco, Xiao Chen, Prateek Saxena, Greg Morrisett and Steve Hanna and has published in prestigious journals such as IEEE Transactions on Software Engineering, ACM SIGPLAN Notices and Science of Computer Programming.

In The Last Decade

Stephen McCamant

58 papers receiving 2.4k 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.

The Daikon system for dynamic detection of likely invariants

2007 631 citations Michael D. Ernst, Jeff Perkins et al. Science of Computer Programming profile →
Practical Control Flow Integrity and Randomization for Binary Executables

2013 321 citations Chao Zhang, Tao Wei et al. profile →
A Symbolic Execution Framework for JavaScript

2010 288 citations Stephen McCamant, Dawn Song et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen McCamant United States	21	1.5k	1.3k	1.2k	1.1k	792	60	2.6k
Manuel Costa United Kingdom	21	1.9k 1.3×	1.2k 0.9×	946 0.8×	247 0.2×	1.2k 1.6×	46	2.6k
Crispin Cowan United States	21	2.1k 1.4×	1.7k 1.3×	930 0.8×	318 0.3×	1.5k 1.9×	43	2.9k
Michael Pradel Germany	33	818 0.6×	823 0.7×	2.1k 1.7×	1.9k 1.6×	887 1.1×	115	3.0k
Scott McPeak United States	8	851 0.6×	485 0.4×	496 0.4×	486 0.4×	446 0.6×	9	1.3k
George C. Necula United States	28	3.2k 2.2×	1.4k 1.1×	1.1k 0.9×	1.1k 1.0×	1.8k 2.3×	82	4.7k
Santosh Nagarakatte United States	20	1.2k 0.8×	570 0.5×	382 0.3×	464 0.4×	694 0.9×	58	2.0k
Andy Chou United States	16	1.1k 0.7×	657 0.5×	1.3k 1.1×	1.4k 1.2×	1.0k 1.3×	23	2.7k
Manu Sridharan United States	26	1.3k 0.9×	938 0.7×	1.4k 1.1×	1.5k 1.3×	855 1.1×	77	2.8k
Jack W. Davidson United States	32	1.3k 0.9×	626 0.5×	724 0.6×	432 0.4×	1.3k 1.6×	156	3.0k
Andrei Sabelfeld Sweden	23	2.6k 1.7×	1.9k 1.5×	1.1k 0.9×	130 0.1×	1.0k 1.3×	86	2.9k

Countries citing papers authored by Stephen McCamant

Since Specialization

Citations

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

Fields of papers citing papers by Stephen McCamant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen McCamant

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

All Works

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20 of 20 papers shown

1.

McCamant, Stephen, et al.. (2023). Structural Test Input Generation for 3-Address Code Coverage Using Path-Merged Symbolic Execution. 79–89.

2.

Unterluggauer, Thomas, et al.. (2022). Table of Contents. 5–7. 1 indexed citations

3.

Wang, Wenwen, Pen-Chung Yew, Antonia Zhai, & Stephen McCamant. (2020). Efficient and scalable cross-ISA virtualization of hardware transactional memory. 107–120. 8 indexed citations

4.

McCamant, Stephen, et al.. (2020). It Doesn’t Have to Be So Hard: Efficient Symbolic Reasoning for CRCs. 1 indexed citations

5.

Whalen, Michael W., et al.. (2020). Java Ranger: statically summarizing regions for efficient symbolic execution of Java. 123–134. 6 indexed citations

6.

McCamant, Stephen, et al.. (2017). Finding Semantically-Equivalent Binary Code By Synthesizing Adaptors. arXiv (Cornell University). 1 indexed citations

7.

Rayadurgam, Sanjai, et al.. (2017). Toward Rigorous Object-Code Coverage Criteria. 199. 328–338. 5 indexed citations

8.

Zhang, Chao, Tao Wei, Zhaofeng Chen, et al.. (2013). Practical Control Flow Integrity and Randomization for Binary Executables. 559–573. 321 indexed citations breakdown →

9.

Martignoni, Lorenzo, Pongsin Poosankam, Matei Zaharia, et al.. (2012). Cloud terminal: secure access to sensitive applications from untrusted systems. USENIX Annual Technical Conference. 14–14. 23 indexed citations

10.

Martignoni, Lorenzo, Stephen McCamant, Pongsin Poosankam, Dawn Song, & Petros Maniatis. (2012). Path-exploration lifting. ACM SIGARCH Computer Architecture News. 40(1). 337–348. 7 indexed citations

11.

Kang, Min Gyung, Stephen McCamant, Pongsin Poosankam, & Dawn Song. (2011). DTA++: Dynamic Taint Analysis with Targeted Control-Flow Propagation.. Network and Distributed System Security Symposium. 152 indexed citations

12.

Johnson, Noah M., Juan Caballero, Stephen McCamant, et al.. (2011). Differential Slicing: Identifying Causal Execution Differences for Security Applications. 347–362. 49 indexed citations

13.

Babić, Domagoj, Lorenzo Martignoni, Stephen McCamant, & Dawn Song. (2011). Statically-directed dynamic automated test generation. 12–22. 83 indexed citations

14.

Miller, Charlie, Noah M. Johnson, Stephen McCamant, & Pongsin Poosankam. (2010). Crash analysis with BitBlaze. 19 indexed citations

15.

Newsome, James, Stephen McCamant, & Dawn Song. (2009). Measuring channel capacity to distinguish undue influence. 73–85. 47 indexed citations

16.

McCamant, Stephen & Michael D. Ernst. (2008). Quantitative information flow as network flow capacity. 193–205. 99 indexed citations

17.

Ernst, Michael D., Jeff Perkins, Philip J. Guo, et al.. (2007). The Daikon system for dynamic detection of likely invariants. Science of Computer Programming. 69(1-3). 35–45. 631 indexed citations breakdown →

18.

McCamant, Stephen & Greg Morrisett. (2006). Evaluating SFI for a CISC architecture. USENIX Security Symposium. 15. 121 indexed citations

19.

McCamant, Stephen. (2006). A Machine-Checked Safety Proof for a CISC-Compatible SFI Technique. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations

20.

McCamant, Stephen & Michael D. Ernst. (2004). Formalizing Lightweight Verification of Software Component Composition. 5 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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