Aaron Tomb
- Software top 5%
- Software Testing and Debugging Techniques 5
- Software Reliability and Analysis Research 3
- Hardware and Architecture top 10%
- Information Systems top 5%
- Software Engineering Research 8
- Artificial Intelligence top 10%
- Logic, programming, and type systems 7
- Security and Verification in Computing 6
- Cryptographic Implementations and Security 4
- Signal Processing top 10%
- Advanced Malware Detection Techniques 5
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- Formal Methods in Verification 4
- Co-authors
- Cormac FlanaganDavid HermanGuillaume BratWillem VisserStephen N. FreundS. FreundBrian HuffmanAndrei Ștefănescu
- Journals
- IEEE Security & Privacy (2 papers)Proceedings of the ACM on Programming Languages (1 paper)LISP and Symbolic Computation (1 paper)
- Partner nations
- United States
In The Last Decade
Aaron Tomb
13 papers receiving 255 citations
Peers
Comparison fields: 5 of 19
- Software 112
- Hardware and Architecture 44
- Information Systems 146
- Artificial Intelligence 189
- Signal Processing 52
Countries citing papers authored by Aaron Tomb
This map shows the geographic impact of Aaron Tomb'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 Aaron Tomb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Tomb more than expected).
Fields of papers citing papers by Aaron Tomb
This network shows the impact of papers produced by Aaron Tomb. 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 Aaron Tomb. The network helps show where Aaron Tomb may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Aaron Tomb, 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 | 2021 | 3 | |
| 2 | 2020 | 1 | |
| 3 | 2018 | 0 | |
| 4 | 2017 | 0 | |
| 5 | 2016 | 8 | |
| 6 | 2014 | 39 | |
| 7 | 2013 | 10 | |
| 8 | 2012 | 12 | |
| 9 | Program inconsistency detection: universal reachability analysis and conditional slicing | 2011 | 1 |
| 10 | 2010 | 53 | |
| 11 | Space-Efficient Gradual Typing. | 2007 | 35 |
| 12 | Sage: Unified Hybrid Checking for First-Class Types, General Refinement Types, and Dynamic (Extended Report) | 2007 | 13 |
| 13 | 2007 | 38 | |
| 14 | Sage: Hybrid Checking for Flexible Specifications | 2006 | 47 |
| 15 | 2005 | 4 |
About Aaron Tomb
Aaron Tomb is a scholar working on Software, Signal Processing, Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 15 papers that have together received 264 indexed citations. Recurring topics across this work include Software Engineering Research (8 papers), Logic, programming, and type systems (7 papers), Security and Verification in Computing (6 papers), Software Testing and Debugging Techniques (5 papers), Advanced Malware Detection Techniques (5 papers), Cryptographic Implementations and Security (4 papers), Formal Methods in Verification (4 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Software (112 citations), Hardware and Architecture (44 citations), Information Systems (146 citations), Artificial Intelligence (189 citations) and Signal Processing (52 citations). Aaron Tomb has collaborated with scholars based in United States. Frequent co-authors include Cormac Flanagan, David Herman, Guillaume Brat, Willem Visser, Stephen N. Freund, Cormac Flanagan, S. Freund, Brian Huffman, Andrei Ștefănescu and Steve Zdancewic. Their work appears in journals such as IEEE Security & Privacy, Proceedings of the ACM on Programming Languages and LISP and Symbolic Computation.
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.