Robbie King

994 citations
39 papers · 286 · h-index 10

Impact in

Papers in

Robbie King

36 papers receiving 257 citations

Peers

Robbie King
Comparison fields: 5 of 61
  • Radiological and Ultrasound Technology 27
  • Computer Networks and Communications 117
  • Hardware and Architecture 30
  • Signal Processing 43
  • Artificial Intelligence 110
Replace Weiyun Huang with:
Weiyun Huang Taiwan
Sheri Mickelson United States
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Sebastian Fischer Germany
Xiangyong Zeng China
Shengyuan Zhang China
В. А. Захаров Russia
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Sébastien Jourdain United States
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Countries citing papers authored by Robbie King

Since Specialization
Citations

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

Fields of papers citing papers by Robbie King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198851
2 198827
3
A Database Management System Based on an Object-Oriented Model.
198423
4 197620
5 197520
6 202413
7 198512
8 201711
9
FaceKit: a database interface design toolkit
198911
10 197610
11 19899
12 19559
13
Extensive 1-year survey of trace elements and compounds in the airborne suspended particulate matter in Cleveland, Ohio
19768
14
Copper emissions from a high volume air sampler
19757
15 20017
16
Use of Whatman-41 filters in air quality sampling networks (with applications to elemental analysis)
19745
17 20234
18 20024
19 20253
20 20253

About Robbie King

Robbie King is a scholar working on Artificial Intelligence, Computer Networks and Communications, Health, Toxicology and Mutagenesis, Information Systems and Hardware and Architecture, having authored 39 papers that have together received 286 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (8 papers), Quantum Computing Algorithms and Architecture (6 papers), Air Quality and Health Impacts (6 papers), Parallel Computing and Optimization Techniques (5 papers), Data Management and Algorithms (4 papers), Distributed systems and fault tolerance (4 papers), Semantic Web and Ontologies (4 papers) and Atmospheric chemistry and aerosols (4 papers). The work is most often cited by research in Radiological and Ultrasound Technology (27 citations), Computer Networks and Communications (117 citations), Hardware and Architecture (30 citations), Signal Processing (43 citations) and Artificial Intelligence (110 citations). Robbie King has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Scott E. Hudson, Michael Novak, Richard P. Paul, I. Lee, Ryan Babbush, Kenneth H. Olsen, Athman Bouguettaya, Vedran Dunjko, Joao Basso and Robin Kothari. Their work appears in journals such as IEEE Transactions on Software Engineering, PRX Quantum, Nature Communications, Quantum and IBM Journal of Research and Development.

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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