Chris Maeda
Impact in
- Software top 2%
- Model-Driven Software Engineering Techniques
- Software Testing and Debugging Techniques
- Artificial Intelligence top 1%
- Advanced Software Engineering Methodologies
- Logic, programming, and type systems
- Security and Verification in Computing
Papers in
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- Advanced Software Engineering Methodologies 8
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- Network Traffic and Congestion Control 2
- Advanced Data Storage Technologies 1
- Co-authors
- Gregor Kiczales (5 shared papers)John Lamping (3 shared papers)Anurag Mendhekar (2 shared papers)Cristina Videira Lopes (1 shared paper)Brian N. Bershad (7 shared papers)J. Eliot B. Moss (1 shared paper)Gail C. Murphy (3 shared papers)Przemysław Pardyak (2 shared papers)
- Journals
- ACM SIGCOMM Computer Communication Review (1 paper)ACM SIGOPS Operating Systems Review (2 papers)Lecture notes in computer science (2 papers)ACM SIGGRAPH Computer Graphics (1 paper)ACM SIGSOFT Software Engineering Notes (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Chris Maeda
15 papers receiving 2.4k citations
Chris Maeda's Hit Papers
Peers
Comparison fields: 5 of 24
- Software 191
- Artificial Intelligence 1.3k
- Hardware and Architecture 160
- Information Systems 190
- Computer Networks and Communications 155
Countries citing papers authored by Chris Maeda
This map shows the geographic impact of Chris Maeda'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 Chris Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Maeda more than expected).
Fields of papers citing papers by Chris Maeda
This network shows the impact of papers produced by Chris Maeda. 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 Chris Maeda. The network helps show where Chris Maeda may publish in the future.
Co-authors
The 16 scholars most cited alongside Chris Maeda, 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 | Aspect-oriented programming Hit paper breakdown → | 1997 | 2075 |
| 2 | 1993 | 127 | |
| 3 | Efficient packet demultiplexing for multiple endpoints and large messages | 1994 | 100 |
| 4 | 1997 | 90 | |
| 5 | 1994 | 74 | |
| 6 | 1995 | 40 | |
| 7 | 1997 | 19 | |
| 8 | 2002 | 12 | |
| 9 | 1996 | 8 | |
| 10 | 1997 | 4 | |
| 11 | 1991 | 3 | |
| 12 | Service decomposition: a structuring principle for flexible, high-performance operating systems | 1997 | 3 |
| 13 | 2003 | 3 | |
| 14 | 1993 | 2 | |
| 15 | 1991 | 1 |
About Chris Maeda
Chris Maeda is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Hardware and Architecture and Nuclear Energy and Engineering, having authored 15 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (8 papers), Network Traffic and Congestion Control (2 papers), Network Packet Processing and Optimization (1 paper), Advanced Data Storage Technologies (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Software (191 citations), Artificial Intelligence (1.3k citations), Hardware and Architecture (160 citations), Information Systems (190 citations) and Computer Networks and Communications (155 citations). Chris Maeda has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Gregor Kiczales, John Lamping, Anurag Mendhekar, Cristina Videira Lopes, Brian N. Bershad, J. Eliot B. Moss, Gail C. Murphy, Przemysław Pardyak, Craig Chambers and Dylan McNamee. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, ACM SIGOPS Operating Systems Review, Lecture notes in computer science, ACM SIGGRAPH Computer Graphics and ACM SIGSOFT Software Engineering Notes.
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.