Jonathan Chew

542 citations
13 papers · 378 · h-index 7

Impact in

    • Parallel Computing and Optimization Techniques
    • Real-Time Systems Scheduling
    • Advanced Data Storage Technologies
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems
    • Interconnection Networks and Systems

Papers in

Jonathan Chew

10 papers receiving 319 citations

Peers

Jonathan Chew
Comparison fields: 5 of 33
  • Hardware and Architecture 274
  • Computer Networks and Communications 321
  • Artificial Intelligence 73
  • Information Systems 47
  • Signal Processing 18
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Jonathan Chew relative to François Armand United States François Armand's profile →
Citations per field
00.5×
François Armand · 1×
Citations per year

Countries citing papers authored by Jonathan Chew

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Chew, 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 Jonathan Chew Line = papers co-authored together Jonathan Chew links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1987173
2 198882
3 198755
4 198721
5
STARFISH – A small team of autonomous robotic fish
201118
6
Generalized Emulation Services for Mach 3.0 Overview, Experiences and Current Status
199113
7 20108
8 19875
9 20192
10 20251
11 20250
12 20250
13
MACH Kernel Interface Manual
20080

About Jonathan Chew

Jonathan Chew is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Political Science and International Relations and Management Information Systems, having authored 13 papers that have together received 378 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Distributed and Parallel Computing Systems (5 papers), Cloud Computing and Resource Management (4 papers), Advanced Data Storage Technologies (3 papers), Impact of AI and Big Data on Business and Society (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper), Distributed systems and fault tolerance (1 paper) and Global Education and Multiculturalism (1 paper). The work is most often cited by research in Hardware and Architecture (274 citations), Computer Networks and Communications (321 citations), Artificial Intelligence (73 citations), Information Systems (47 citations) and Signal Processing (18 citations). Jonathan Chew has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Avadis Tevanian, R. Baron, David Golub, Michael W. Young, William J. Bolosky, David L. Black, Richard F. Rashid, R. Rashid, Jason S. Koh and Mohamed Taher. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Higher Education Policy and Management, IEEE Transactions on Computers, ACM SIGOPS Operating Systems Review and National University of Singapore.

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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