Matthew Arnold
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Software top 1%
- Software Testing and Debugging Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 31
- Software 8
- Software Testing and Debugging Techniques 6
- Co-authors
- Barbara G. RyderMichael HindStephen J. FinkDavid GrovePeter F. SweeneyNick MitchellGary SevitskyGuoqing Xu
- Journals
- ACM SIGPLAN Notices (16 papers)ACM Transactions on Software Engineering and Methodology (2 papers)Proceedings of the IEEE (1 paper)IBM Journal of Research and Development (1 paper)IBM Systems Journal (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Matthew Arnold
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 37
- Hardware and Architecture 1.2k
- Software 462
- Computer Networks and Communications 1.1k
- Information Systems 803
- Artificial Intelligence 824
Countries citing papers authored by Matthew Arnold
This map shows the geographic impact of Matthew Arnold'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 Matthew Arnold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Arnold more than expected).
Fields of papers citing papers by Matthew Arnold
This network shows the impact of papers produced by Matthew Arnold. 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 Matthew Arnold. The network helps show where Matthew Arnold may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Arnold, 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 | 2014 | 17 | |
| 2 | 2010 | 70 | |
| 3 | 2009 | 12 | |
| 4 | 2008 | 79 | |
| 5 | 2007 | 2 | |
| 6 | 2007 | 19 | |
| 7 | 2006 | 21 | |
| 8 | 2006 | 22 | |
| 9 | 2006 | 36 | |
| 10 | 2006 | 4 | |
| 11 | 2006 | 3 | |
| 12 | 2005 | 40 | |
| 13 | 2005 | 38 | |
| 14 | 2005 | 141 | |
| 15 | 2002 | 3 | |
| 16 | 2001 | 31 | |
| 17 | 2001 | 275 | |
| 18 | 2001 | 2 | |
| 19 | 2000 | 3 | |
| 20 | 2000 | 40 |
About Matthew Arnold
Matthew Arnold is a scholar working on Hardware and Architecture, Software, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (31 papers), Logic, programming, and type systems (21 papers), Software System Performance and Reliability (20 papers), Software Engineering Research (13 papers), Advanced Software Engineering Methodologies (9 papers), Cloud Computing and Resource Management (8 papers), Distributed systems and fault tolerance (7 papers) and Software Testing and Debugging Techniques (6 papers). The work is most often cited by research in Hardware and Architecture (1.2k citations), Software (462 citations), Computer Networks and Communications (1.1k citations), Information Systems (803 citations) and Artificial Intelligence (824 citations). Matthew Arnold has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Barbara G. Ryder, Michael Hind, Stephen J. Fink, David Grove, Peter F. Sweeney, Nick Mitchell, Gary Sevitsky, Guoqing Xu, Atanas Rountev and Martin Vechev. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Software Engineering and Methodology, Proceedings of the IEEE, IBM Journal of Research and Development and IBM Systems Journal.
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.