John C. Miles

1k citations
95 papers · 841 · h-index 17

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 13
    • AI-based Problem Solving and Planning 10
    • Advanced Computational Techniques and Applications 9
    • Evolutionary Algorithms and Applications 8
    • Architecture and Computational Design 9

John C. Miles

85 papers receiving 762 citations

Peers

John C. Miles
Comparison fields: 5 of 79
  • Architecture 78
  • Building and Construction 203
  • Artificial Intelligence 194
  • Environmental Engineering 68
  • Geochemistry and Petrology 33
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Citations per field
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Citations per year

Countries citing papers authored by John C. Miles

Since Specialization
Citations

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

Fields of papers citing papers by John C. Miles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Miles. 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 John C. Miles. The network helps show where John C. Miles may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201289
2 200955
3 198037
4 200330
5 201230
6 200329
7 200528
8 199127
9
Harvesting and Managing Knowledge in Construction: From Theoretical Foundations to Business Applications
201126
10 198323
11 199823
12 201022
13 200821
14 199120
15 201119
16
Practical Knowledge-Based Systems in Conceptual Design
199318
17 199517
18 198515
19 198614
20 200514

About John C. Miles

John C. Miles is a scholar working on Artificial Intelligence, Architecture, Building and Construction, Computer Networks and Communications and Civil and Structural Engineering, having authored 95 papers that have together received 841 indexed citations. Recurring topics across this work include BIM and Construction Integration (14 papers), Metaheuristic Optimization Algorithms Research (13 papers), AI-based Problem Solving and Planning (10 papers), Design Education and Practice (10 papers), Architecture and Computational Design (9 papers), Advanced Computational Techniques and Applications (9 papers), Evolutionary Algorithms and Applications (8 papers) and Civil and Structural Engineering Research (7 papers). The work is most often cited by research in Architecture (78 citations), Building and Construction (203 citations), Artificial Intelligence (194 citations), Environmental Engineering (68 citations) and Geochemistry and Petrology (33 citations). John C. Miles has collaborated with scholars based in United Kingdom, Singapore and Switzerland. Frequent co-authors include Yacine Rezgui, Haijiang Li, David J. Griffiths, Alan S. K. Kwan, Ken R. Rushton, David J. Shaw, Wadhah Amer Hatem, Ian C. Parmee, Joanne Lloyd and William A. Gray. Their work appears in journals such as Advanced Engineering Informatics, Journal of Hydrology, Architectural Engineering and Design Management, Advances in Engineering Software and Journal of Computing in Civil Engineering.

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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