Chris Maeda

3.5k citations
15 papers · 2.8k · 1 hit paper · h-index 9

Impact in

  • Software top 1%
    • Model-Driven Software Engineering Techniques
    • Service-Oriented Architecture and Web Services
    • Software Engineering Research

Papers in

Chris Maeda

15 papers receiving 2.6k citations

Chris Maeda's Hit Papers

Aspect-oriented programming 1997 · 2.1k citations
2.1k0+9+19Years since publication50010001.5k2.0k

Peers

Chris Maeda
Comparison fields: 5 of 78
  • Software 461
  • Information Systems 1.6k
  • Hardware and Architecture 450
  • Artificial Intelligence 2.0k
  • Computer Networks and Communications 1.2k
Replace Angelo Gargantini with:
Angelo Gargantini Italy
Christian W. Probst Denmark
Yulei Sui Australia
Elvinia Riccobene Italy
Neil Walkinshaw United Kingdom
Yingnong Dang United States
Einar Broch Johnsen Norway
Manuel Clavel Spain
Shangping Ren United States
Jim Melton United States
Chris Maeda relative to Angelo Gargantini Italy Angelo Gargantini's profile →
Citations per field
00.5×3.7×
Angelo Gargantini · 1×
Citations per year

Countries citing papers authored by Chris Maeda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 22 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.

Border = papers with Chris Maeda Line = papers co-authored together Chris Maeda links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Aspect-oriented programming
Hit paper breakdown →
19972051
2 2012233
3 1993125
4
Efficient packet demultiplexing for multiple endpoints and large messages
199497
5 199788
6 199477
7 199541
8 199720
9 200213
10 19968
11 20034
12 19974
13 19914
14 19932
15 19911

About Chris Maeda

Chris Maeda is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Emergency Medicine, having authored 15 papers that have together received 2.8k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (6 papers), Software System Performance and Reliability (4 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Software Engineering Methodologies (4 papers), Advanced Data Storage Technologies (3 papers), Software Engineering Research (3 papers), Real-Time Systems Scheduling (2 papers) and Software Engineering Techniques and Practices (2 papers). The work is most often cited by research in Software (461 citations), Information Systems (1.6k citations), Hardware and Architecture (450 citations), Artificial Intelligence (2.0k citations) and Computer Networks and Communications (1.2k citations). Chris Maeda has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Gregor Kiczales, John Lamping, Cristina Videira Lopes, John Irwin, Brian N. Bershad, Mickey S. Eisenberg, Lauren K. Meyer, Benjamin A. Stubbs, Carol Fahrenbruch and Kimberly G. Harmon. Their work appears in journals such as Circulation, ACM SIGCOMM Computer Communication Review, ACM SIGOPS Operating Systems Review, Lecture notes in computer science and ACM SIGGRAPH Computer Graphics.

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.

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