James Ang

908 citations
31 papers · 435 indexed · h-index 8

James Ang

23 papers receiving 417 citations

Peers

James Ang
Comparison fields: 5 of 52
  • Hardware and Architecture 137
  • Computer Networks and Communications 154
  • Artificial Intelligence 149
  • Information Systems 78
  • Computer Vision and Pattern Recognition 68
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Countries citing papers authored by James Ang

Since Specialization
Citations

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

Fields of papers citing papers by James Ang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20230
5 20236
6 20234
7 202229
8 202272
9 20152
10 201435
11
Emerging High Performance Computing Systems and Next Generation Engineering Analysis Applications
20130
12
The Alliance for Computing at the Extreme Scale.
20106
13
Introducing the Graph 500
2010143
14
Red Storm Capability Computing Queuing Policy.
20053
15
Confidence in ASCI scientific simulations
19986
16 19932
17
Projectile development for railguns using hypervelocity preacceleration
19920
18 199119
19 19884
20 19863

About James Ang

James Ang is a scholar working on Hardware and Architecture, Computer Networks and Communications, Fluid Flow and Transfer Processes, Information Systems and Management and Aerospace Engineering, having authored 31 papers that have together received 435 indexed citations. Recurring topics across this work include Electromagnetic Launch and Propulsion Technology (6 papers), Quantum Computing Algorithms and Architecture (6 papers), Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (5 papers), Parallel Computing and Optimization Techniques (5 papers), Quantum Information and Cryptography (5 papers), Cloud Computing and Resource Management (4 papers) and High-Velocity Impact and Material Behavior (4 papers). The work is most often cited by research in Hardware and Architecture (137 citations), Computer Networks and Communications (154 citations), Artificial Intelligence (149 citations), Information Systems (78 citations) and Computer Vision and Pattern Recognition (68 citations). James Ang has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Richard C. Murphy, Brian Barrett, Kyle Wheeler, Ang Li, Samuel Stein, C.A. Hall, William D. Reinhart, Nathan Wiebe, Karol Kowalski and Bo Peng. Their work appears in journals such as International Journal of Impact Engineering, IEEE Transactions on Magnetics, IEEE Internet Computing, Computer and AIAA Journal.

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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