Scott Carr

560 total citations
12 papers, 339 citations indexed

About

Scott Carr is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Scott Carr has authored 12 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Scott Carr's work include Security and Verification in Computing (7 papers), Advanced Malware Detection Techniques (5 papers) and Diamond and Carbon-based Materials Research (3 papers). Scott Carr is often cited by papers focused on Security and Verification in Computing (7 papers), Advanced Malware Detection Techniques (5 papers) and Diamond and Carbon-based Materials Research (3 papers). Scott Carr collaborates with scholars based in United States, Germany and United Kingdom. Scott Carr's co-authors include Mathias Payer, Nathan Burow, Michael Franz, Stefan Brunthaler, Per Larsen, David Hannay, Chao Zhang, Tongxin Li, Chengyu Song and Yu Ding and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and Structural Health Monitoring.

In The Last Decade

Scott Carr

10 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Carr United States 8 242 190 83 65 56 12 339
Venkatesh Raghavan United States 9 37 0.2× 76 0.4× 58 0.7× 107 1.6× 4 0.1× 43 268
Xiaochuan Ai China 5 196 0.8× 127 0.7× 39 0.5× 236 3.6× 20 0.4× 10 301
Ziyang Li China 10 84 0.3× 33 0.2× 72 0.9× 53 0.8× 9 0.2× 36 241
Xiaofei Guo China 9 177 0.7× 27 0.1× 14 0.2× 5 0.1× 100 1.8× 34 392
Desislava Dimitrova Switzerland 10 43 0.2× 44 0.2× 48 0.6× 166 2.6× 8 0.1× 38 275
Eugène C. Ezin Benin 8 168 0.7× 38 0.2× 27 0.3× 55 0.8× 3 0.1× 51 329
Lantu Guo China 8 215 0.9× 59 0.3× 5 0.1× 17 0.3× 7 0.1× 33 338
Marwan Fayed United Kingdom 10 35 0.1× 38 0.2× 20 0.2× 203 3.1× 6 0.1× 33 273

Countries citing papers authored by Scott Carr

Since Specialization
Citations

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

Fields of papers citing papers by Scott Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Carr

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

All Works

12 of 12 papers shown
1.
Burow, Nathan, et al.. (2018). CFIXX: Object Type Integrity for C++. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 18 indexed citations
2.
Federico, Alessandro Di, Scott Carr, Stijn Volckaert, et al.. (2017). Venerable Variadic Vulnerabilities Vanquished. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 186–198. 9 indexed citations
3.
Carr, Scott, et al.. (2017). HexType. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2373–2387. 23 indexed citations
4.
Carr, Scott & Mathias Payer. (2017). DataShield. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 193–204. 35 indexed citations
5.
Burow, Nathan, Scott Carr, Per Larsen, et al.. (2017). Control-Flow Integrity. ACM Computing Surveys. 50(1). 1–33. 140 indexed citations
6.
Carr, Scott, Francesco Logozzo, & Mathias Payer. (2016). Automatic Contract Insertion with CCBot. IEEE Transactions on Software Engineering. 43(8). 701–714. 6 indexed citations
7.
Zhang, Chao, Scott Carr, Tongxin Li, et al.. (2016). VTrust: Regaining Trust on Virtual Calls. 41 indexed citations
8.
Kim, Sungmin, Douglas E. Adams, Hoon Sohn, et al.. (2014). Crack detection technique for operating wind turbine blades using Vibro-Acoustic Modulation. Structural Health Monitoring. 13(6). 660–670. 38 indexed citations
9.
Hannay, David, et al.. (2010). A Model Based Assessment of Underwater Sound Levels during a Seismic Source Soft-start Operation. SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production. 2 indexed citations
10.
Carr, Scott & Christine Erbe. (2008). ASSESSING THE IMPACT OF UNDERWATER NOISE ON MARINE FAUNA: A SOFTWARE TOOL. Bioacoustics. 17(1-3). 241–243. 1 indexed citations
11.
Carr, Scott, et al.. (2000). <title>Digital watermarks as a security feature for identity documents</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3973. 80–87. 6 indexed citations
12.
Hannay, David, et al.. (1998). Genetic Algorithm Inversion of the 1997 Geoacoustic Inversion Workshop Test Case Data. Journal of Computational Acoustics. 6(01n02). 61–71. 20 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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