Jonathan Aldrich
Impact in
- Software top 1%
- Artificial Intelligence top 0.5%
- Advanced Software Engineering Methodologies
- Logic, programming, and type systems
- Security and Verification in Computing
Papers in
-
- Logic, programming, and type systems 72
- Advanced Software Engineering Methodologies 48
- Security and Verification in Computing 45
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- Software Engineering Research 62
- Co-authors
- Craig Chambers (8 shared papers)David Notkin (4 shared papers)Kevin Bierhoff (11 shared papers)Joshua Sunshine (32 shared papers)Marwan Abi-Antoun (16 shared papers)Bradley Schmerl (11 shared papers)Éric Tanter (11 shared papers)Hong Yan (3 shared papers)
- Journals
- ACM SIGPLAN Notices (9 papers)Proceedings of the ACM on Programming Languages (6 papers)ACM Transactions on Programming Languages and Systems (5 papers)Science of Computer Programming (2 papers)Diabetes (1 paper)
- Partner nations
- United StatesPortugalNew Zealand
In The Last Decade
Jonathan Aldrich
144 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 70
- Software 437
- Artificial Intelligence 1.7k
- Information Systems 1.1k
- Hardware and Architecture 280
- Computer Networks and Communications 811
Countries citing papers authored by Jonathan Aldrich
This map shows the geographic impact of Jonathan Aldrich'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 Jonathan Aldrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Aldrich more than expected).
Fields of papers citing papers by Jonathan Aldrich
This network shows the impact of papers produced by Jonathan Aldrich. 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 Jonathan Aldrich. The network helps show where Jonathan Aldrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Aldrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 278 | |
| 2 | 2002 | 156 | |
| 3 | 2007 | 111 | |
| 4 | 2003 | 97 | |
| 5 | 2006 | 78 | |
| 6 | 2009 | 69 | |
| 7 | 2004 | 61 | |
| 8 | 2014 | 47 | |
| 9 | 2011 | 40 | |
| 10 | 2012 | 38 | |
| 11 | 2008 | 37 | |
| 12 | 2011 | 35 | |
| 13 | 2007 | 35 | |
| 14 | 2009 | 34 | |
| 15 | 2012 | 32 | |
| 16 | 2011 | 32 | |
| 17 | 2005 | 30 | |
| 18 | 1980 | 30 | |
| 19 | 2020 | 29 | |
| 20 | 2012 | 28 |
About Jonathan Aldrich
Jonathan Aldrich is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Software and Computational Theory and Mathematics, having authored 152 papers that have together received 2.2k indexed citations. Recurring topics across this work include Logic, programming, and type systems (72 papers), Software Engineering Research (62 papers), Advanced Software Engineering Methodologies (48 papers), Security and Verification in Computing (45 papers), Formal Methods in Verification (25 papers), Software System Performance and Reliability (24 papers), Model-Driven Software Engineering Techniques (18 papers) and Distributed systems and fault tolerance (18 papers). The work is most often cited by research in Software (437 citations), Artificial Intelligence (1.7k citations), Information Systems (1.1k citations), Hardware and Architecture (280 citations) and Computer Networks and Communications (811 citations). Jonathan Aldrich has collaborated with scholars based in United States, Portugal and New Zealand. Frequent co-authors include Craig Chambers, David Notkin, Kevin Bierhoff, Joshua Sunshine, Marwan Abi-Antoun, Bradley Schmerl, Éric Tanter, Hong Yan, David Garlan and Rick Kazman. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, ACM Transactions on Programming Languages and Systems, Science of Computer Programming and Diabetes.
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.