Sam Blackshear
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
- Software 10
- Software Testing and Debugging Techniques 10
-
- Advanced Malware Detection Techniques 8
- Co-authors
- Bor-Yuh Evan Chang (8 shared papers)Shuvendu K. Lahiri (4 shared papers)Manu Sridharan (6 shared papers)Nikos Gorogiannis (1 shared paper)Ilya Sergey (1 shared paper)Peter W. O’Hearn (1 shared paper)Francesco Logozzo (2 shared papers)Manuel A. Fähndrich (2 shared papers)
- Journals
- ACM SIGPLAN Notices (4 papers)Proceedings of the ACM on Programming Languages (1 paper)Lecture notes in computer science (3 papers)CU Scholar (University of Colorado Boulder) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Sam Blackshear
19 papers receiving 283 citations
Peers
Comparison fields: 5 of 28
- Software 171
- Signal Processing 96
- Hardware and Architecture 50
- Information Systems 144
- Artificial Intelligence 114
Countries citing papers authored by Sam Blackshear
This map shows the geographic impact of Sam Blackshear'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 Sam Blackshear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Blackshear more than expected).
Fields of papers citing papers by Sam Blackshear
This network shows the impact of papers produced by Sam Blackshear. 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 Sam Blackshear. The network helps show where Sam Blackshear may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Blackshear, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 60 | |
| 2 | 2014 | 35 | |
| 3 | 2013 | 35 | |
| 4 | 2013 | 26 | |
| 5 | 2015 | 22 | |
| 6 | 2015 | 22 | |
| 7 | 2014 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2024 | 9 | |
| 10 | 2011 | 9 | |
| 11 | 2014 | 8 | |
| 12 | 2010 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2015 | 4 | |
| 15 | 2013 | 4 | |
| 16 | 2013 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 2 | |
| 19 | The Flow-Insensitive Precision of Andersen's Analysis in Practice ; CU-CS-1083-11 | 2011 | 1 |
About Sam Blackshear
Sam Blackshear is a scholar working on Software, Signal Processing, Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 19 papers that have together received 287 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (10 papers), Advanced Malware Detection Techniques (8 papers), Software Engineering Research (6 papers), Blockchain Technology Applications and Security (4 papers), Formal Methods in Verification (4 papers), Security and Verification in Computing (3 papers), Logic, programming, and type systems (3 papers) and Security in Wireless Sensor Networks (1 paper). The work is most often cited by research in Software (171 citations), Signal Processing (96 citations), Hardware and Architecture (50 citations), Information Systems (144 citations) and Artificial Intelligence (114 citations). Sam Blackshear has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Bor-Yuh Evan Chang, Shuvendu K. Lahiri, Manu Sridharan, Nikos Gorogiannis, Ilya Sergey, Peter W. O’Hearn, Francesco Logozzo, Manuel A. Fähndrich, Rakesh M Verma and David L. Dill. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Lecture notes in computer science, CU Scholar (University of Colorado Boulder) and arXiv (Cornell University).
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.