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
-
- Logic, programming, and type systems 21
- Advanced Software Engineering Methodologies 9
- Co-authors
- Barbara G. Ryder (8 shared papers)Michael Hind (15 shared papers)Stephen J. Fink (9 shared papers)David Grove (6 shared papers)Peter F. Sweeney (7 shared papers)Nick Mitchell (9 shared papers)Guoqing Xu (6 shared papers)Atanas Rountev (6 shared papers)
- Journals
- ACM SIGPLAN Notices (16 papers)ACM Transactions on Software Engineering and Methodology (2 papers)IBM Journal of Research and Development (1 paper)IBM Systems Journal (1 paper)Proceedings of the IEEE (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Matthew Arnold
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 37
- Hardware and Architecture 1.2k
- Software 463
- Computer Networks and Communications 1.1k
- Information Systems 808
- Artificial Intelligence 828
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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 276 | |
| 2 | 2000 | 220 | |
| 3 | 2005 | 141 | |
| 4 | 2010 | 93 | |
| 5 | 2009 | 90 | |
| 6 | 2002 | 87 | |
| 7 | 2008 | 79 | |
| 8 | 2010 | 72 | |
| 9 | 2008 | 67 | |
| 10 | 2010 | 66 | |
| 11 | 2000 | 64 | |
| 12 | 2011 | 56 | |
| 13 | 2005 | 49 | |
| 14 | 2000 | 40 | |
| 15 | 2005 | 40 | |
| 16 | 2005 | 38 | |
| 17 | 2006 | 37 | |
| 18 | 2001 | 31 | |
| 19 | 2009 | 27 | |
| 20 | 2006 | 27 |
About Matthew Arnold
Matthew Arnold is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Information Systems and Software, 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 (463 citations), Computer Networks and Communications (1.1k citations), Information Systems (808 citations) and Artificial Intelligence (828 citations). Matthew Arnold has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Barbara G. Ryder, Michael Hind, Stephen J. Fink, David Grove, Peter F. Sweeney, Nick Mitchell, Guoqing Xu, Atanas Rountev, Gary Sevitsky and Martin Vechev. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Software Engineering and Methodology, IBM Journal of Research and Development, IBM Systems Journal and Proceedings of the IEEE.
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.