Mike Dodds
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Real-Time Systems Scheduling
-
- Distributed systems and fault tolerance
Papers in
-
- Parallel Computing and Optimization Techniques 19
-
- Distributed systems and fault tolerance 20
- Co-authors
- Matthew Parkinson (13 shared papers)Viktor Vafeiadis (3 shared papers)Thomas Dinsdale-Young (4 shared papers)Philippa Anne Gardner (4 shared papers)Alexey Gotsman (4 shared papers)Mark Batty (3 shared papers)Suresh Jagannathan (6 shared papers)Xinyu Feng (1 shared paper)
- Journals
- ACM SIGPLAN Notices (5 papers)ACM Transactions on Programming Languages and Systems (2 papers)Proceedings of the ACM on Programming Languages (2 papers)Lecture notes in computer science (10 papers)Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Mike Dodds
37 papers receiving 731 citations
Peers
Comparison fields: 5 of 38
- Hardware and Architecture 342
- Computer Networks and Communications 501
- Computational Theory and Mathematics 278
- Artificial Intelligence 542
- Software 61
Countries citing papers authored by Mike Dodds
This map shows the geographic impact of Mike Dodds'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 Mike Dodds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Dodds more than expected).
Fields of papers citing papers by Mike Dodds
This network shows the impact of papers produced by Mike Dodds. 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 Mike Dodds. The network helps show where Mike Dodds may publish in the future.
Co-authors
The 25 scholars most cited alongside Mike Dodds, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 166 | |
| 2 | 2010 | 115 | |
| 3 | 2009 | 90 | |
| 4 | 2013 | 75 | |
| 5 | 2014 | 35 | |
| 6 | 2011 | 20 | |
| 7 | 2011 | 19 | |
| 8 | 2011 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2010 | 18 | |
| 11 | 2013 | 17 | |
| 12 | 2015 | 15 | |
| 13 | 2020 | 12 | |
| 14 | 2016 | 12 | |
| 15 | 2013 | 10 | |
| 16 | 2017 | 10 | |
| 17 | 2006 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2015 | 7 | |
| 20 | 2013 | 7 |
About Mike Dodds
Mike Dodds is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Software, having authored 39 papers that have together received 754 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (20 papers), Parallel Computing and Optimization Techniques (19 papers), Logic, programming, and type systems (18 papers), Formal Methods in Verification (12 papers), Security and Verification in Computing (6 papers), Software Testing and Debugging Techniques (4 papers), Advanced Malware Detection Techniques (4 papers) and Model-Driven Software Engineering Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (342 citations), Computer Networks and Communications (501 citations), Computational Theory and Mathematics (278 citations), Artificial Intelligence (542 citations) and Software (61 citations). Mike Dodds has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Matthew Parkinson, Viktor Vafeiadis, Thomas Dinsdale-Young, Philippa Anne Gardner, Alexey Gotsman, Mark Batty, Suresh Jagannathan, Xinyu Feng, Christoph Meyer Kirsch and Detlef Plump. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, Proceedings of the ACM on Programming Languages, Lecture notes in computer science and Journal of Pharmaceutical Sciences.
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.