Chris Maeda

3.5k citations
13 papers · 661 · h-index 8

Impact in

Papers in

    • Distributed systems and fault tolerance 5
    • Software System Performance and Reliability 4
    • Advanced Data Storage Technologies 2
    • Network Time Synchronization Technologies 2
    • Parallel Computing and Optimization Techniques 3
    • Real-Time Systems Scheduling 2

Chris Maeda

13 papers receiving 562 citations

Peers

Chris Maeda
Comparison fields: 5 of 55
  • Hardware and Architecture 236
  • Computer Networks and Communications 355
  • Emergency Medicine 95
  • Cardiology and Cardiovascular Medicine 123
  • Artificial Intelligence 174
Replace Michael Kircher with:
Michael Kircher Germany
Aleksandra Tešanović Netherlands
Patel Patel United States
Michael Voss United States
Björn Knutsson Sweden
Timothy H. Harrison United States
William T. Marshall United States
H. Komatsu Japan
Fatemeh Rahimian Sweden
Ramesh C. Joshi India
Chris Maeda relative to Michael Kircher Germany Michael Kircher's profile →
Citations per field
00.5×6.8×
Michael Kircher · 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 20 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

13 of 13 papers shown
#Work
1 2012228
2 1993117
3
Efficient packet demultiplexing for multiple endpoints and large messages
199494
4 199772
5 199470
6 199539
7 199714
8 200213
9 20034
10 19914
11 19973
12 19932
13 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 13 papers that have together received 661 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (5 papers), Software System Performance and Reliability (4 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Software Engineering Methodologies (3 papers), Advanced Data Storage Technologies (2 papers), Real-Time Systems Scheduling (2 papers), Software Engineering Research (2 papers) and Network Time Synchronization Technologies (2 papers). The work is most often cited by research in Hardware and Architecture (236 citations), Computer Networks and Communications (355 citations), Emergency Medicine (95 citations), Cardiology and Cardiovascular Medicine (123 citations) and Artificial Intelligence (174 citations). Chris Maeda has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Brian N. Bershad, Jonathan A. Drezner, Mickey S. Eisenberg, Carol Fahrenbruch, Kimberly G. Harmon, Benjamin A. Stubbs, Lauren K. Meyer, J. Eliot B. Moss, Gregor Kiczales and Gail C. Murphy. Their work appears in journals such as Circulation, ACM SIGCOMM Computer Communication Review, ACM SIGOPS Operating Systems Review, 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.

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