Steve King

720 citations
35 papers · 586 · h-index 12

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Real-Time Systems Scheduling
    • Parallel Computing and Optimization Techniques

Papers in

Steve King

33 papers receiving 545 citations

Peers

Steve King
Comparison fields: 5 of 74
  • Software 114
  • Hardware and Architecture 112
  • Building and Construction 178
  • Computational Theory and Mathematics 175
  • Environmental Engineering 125
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Citations per field
00.5×10×20×30×35.6×
Ingolf Krueger · 1×
Citations per year

Countries citing papers authored by Steve King

Since Specialization
Citations

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

Fields of papers citing papers by Steve King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003111
2 201675
3 201657
4 199051
5 200248
6 200536
7 200826
8 201522
9 200219
10 201419
11 201314
12 199912
13 200312
14 199510
15 20168
16
Why are Rating Schemes always wrong? Regulatory frameworks for passive design and energy efficiency
20067
17 20057
18 19976
19 20006
20 20075

About Steve King

Steve King is a scholar working on Software, Computational Theory and Mathematics, Building and Construction, Artificial Intelligence and Hardware and Architecture, having authored 35 papers that have together received 586 indexed citations. Recurring topics across this work include Formal Methods in Verification (11 papers), Building Energy and Comfort Optimization (7 papers), Logic, programming, and type systems (6 papers), Software Testing and Debugging Techniques (5 papers), Real-Time Systems Scheduling (4 papers), Distributed systems and fault tolerance (4 papers), Software Reliability and Analysis Research (4 papers) and Logic, Reasoning, and Knowledge (3 papers). The work is most often cited by research in Software (114 citations), Hardware and Architecture (112 citations), Building and Construction (178 citations), Computational Theory and Mathematics (175 citations) and Environmental Engineering (125 citations). Steve King has collaborated with scholars based in United Kingdom, Australia and Saudi Arabia. Frequent co-authors include Shamila Haddad, Paul Osmond, Andy J. Wellings, Jonathan P. Bowen, Deo K. Prasad, Michael Huber, Masud Behnia, Mohd Farid Mohamed, Carroll C. Morgan and Jesse Rush O’Hanley. Their work appears in journals such as Formal Aspects of Computing, Architectural Science Review, Building Research & Information, Lecture notes in computer science and Journal of Green Building.

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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