Mason Chang

666 citations
10 papers · 383 · h-index 8

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
  • Software top 5%
    • Software Testing and Debugging Techniques

Papers in

Mason Chang

10 papers receiving 363 citations

Peers

Mason Chang
Comparison fields: 5 of 37
  • Hardware and Architecture 256
  • Software 111
  • Artificial Intelligence 226
  • Computer Networks and Communications 121
  • Information Systems 110
Replace Edwin Smith with:
Edwin Smith United States
Matthias Grimmer Austria
Michael Bebenita United States
Armin Rigo Germany
Robert A. Ballance United States
Mircea Namolaru Israel
Christopher A. Vick United States
Allan M. Schiffman United States
Carl Friedrich Bolz Germany
Alexandru Sălcianu United States
Mason Chang relative to Edwin Smith United States Edwin Smith's profile →
Citations per field
00.5×1.5×
Edwin Smith · 1×
Citations per year

Countries citing papers authored by Mason Chang

Since Specialization
Citations

This map shows the geographic impact of Mason Chang'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 Mason Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mason Chang more than expected).

Fields of papers citing papers by Mason Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mason Chang. 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 Mason Chang. The network helps show where Mason Chang may publish in the future.

Co-authors

The 14 scholars most cited alongside Mason Chang, 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 Mason Chang Line = papers co-authored together Mason Chang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2009236
2 200936
3 200926
4 201025
5 201616
6 201113
7 200710
8
Flashback: A Peer-to-Peer Web Server for Flash Crowds
20079
9 20116
10 20096

About Mason Chang

Mason Chang is a scholar working on Artificial Intelligence, Hardware and Architecture, Information Systems, Computer Networks and Communications and Social Psychology, having authored 10 papers that have together received 383 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Parallel Computing and Optimization Techniques (6 papers), Software Engineering Research (4 papers), Peer-to-Peer Network Technologies (2 papers), Caching and Content Delivery (2 papers), Image and Video Quality Assessment (1 paper), Advanced Malware Detection Techniques (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (256 citations), Software (111 citations), Artificial Intelligence (226 citations), Computer Networks and Communications (121 citations) and Information Systems (110 citations). Mason Chang has collaborated with scholars based in United States. Frequent co-authors include Michael Bebenita, Andreas Gal, Michael Franz, Edwin Smith, Brendan Eich, Mohammad R. Haghighat, David F. Anderson, David Mandelin, Christian Wimmer and Nalini Venkatasubramanian. Their work appears in journals such as ACM SIGPLAN Notices and Current Psychiatry Reports.

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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