Nathan Chong

725 citations
20 papers · 411 indexed · h-index 11

Nathan Chong

19 papers receiving 395 citations

Peers

Nathan Chong
Comparison fields: 5 of 26
  • Software 219
  • Hardware and Architecture 226
  • Computer Networks and Communications 134
  • Information Systems 120
  • Signal Processing 52
Replace Carsten Weise with:
Carsten Weise Germany
Vijay D’Silva United Kingdom
Jacob Burnim United States
Shachar Itzhaky United States
Robert H. Kuhn United States
Nuno P. Lopes United Kingdom
Yoav Zibin Israel
Bilha Mendelson Israel
Leonid Ryzhyk Australia
Jianhua Zhao China
Nathan Chong relative to Carsten Weise Germany Carsten Weise's profile →
Citations per field
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Carsten Weise · 1×
Citations per year

Countries citing papers authored by Nathan Chong

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202211
3 20221
4 20218
5
Formally verifying FreeRTOS’ interprocess communication mechanism
20211
6 202013
7 20181
8 20171
9 201545
10 201538
11 2015109
12 201416
13 20141
14 201315
15 201222
16 201280
17 200922
18 200819
19
Functional Programming for Hardware Definition, Verification and Modelling
20071
20
Impact of six sigma on construction performance
20042

About Nathan Chong

Nathan Chong is a scholar working on Software, Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 20 papers that have together received 411 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Security and Verification in Computing (8 papers), Software Testing and Debugging Techniques (8 papers), Radiation Effects in Electronics (5 papers), Formal Methods in Verification (5 papers), Distributed systems and fault tolerance (4 papers), Embedded Systems Design Techniques (4 papers) and Logic, programming, and type systems (3 papers). The work is most often cited by research in Software (219 citations), Hardware and Architecture (226 citations), Computer Networks and Communications (134 citations), Information Systems (120 citations) and Signal Processing (52 citations). Nathan Chong has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Alastair F. Donaldson, Andrei Lascu, Shaz Qadeer, Adam Betts, Paul Thomson, Jeroen Ketema, Samin Ishtiaq, John Wickerson, Yoonseo Choi and Yuan Lin. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Software Engineering, Software Practice and Experience, Proceedings of the ACM on Programming Languages and ACM Transactions on Programming Languages and Systems.

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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