David McLean

8.8k citations
175 papers · 6.2k indexed · 3 hit papers · h-index 33

David McLean

160 papers receiving 5.5k citations

Hit Papers

Sentence similarity base...540195820261980200350010001.5k

Peers

David McLean
Comparison fields: 5 of 208
  • Metals and Alloys 288
  • Mechanical Engineering 2.1k
  • Materials Chemistry 2.1k
  • Artificial Intelligence 1.4k
  • Computer Science Applications 200
Replace Anthony Kelly with:
Anthony Kelly United Kingdom
Lijia Chen China
Michael Jackson Australia
Martin Weller Germany
Yi Huang China
I. N. Sneddon United Kingdom
Anubhav Jain United States
Ankit Agrawal United States
Rui Wang China
Chi Fai Cheung Hong Kong
David McLean relative to Anthony Kelly United Kingdom Anthony Kelly's profile →
Citations per field
00.5×8.7×
Anthony Kelly · 1×
Citations per year

Countries citing papers authored by David McLean

Since Specialization
Citations

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

Fields of papers citing papers by David McLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20225
2
Death and survival in urban Britain: disease, pollution and environment, 1800-1950
20162
3 20081
4 20072
5 200731
6 200623
7
Vector-Field-Based Deformable Models for Radiation Dosimetry
20051
8
A method for measuring sentence similarity and its application to conversational agents
200427
9
Decision tree extraction from trained neural networks
20044
10 200456
11 19982
12 199738
13
Which Entropy Coder
19961
14 19703
15 196672
16 196346
17 19626
18 196092
19
GRAIN-BOUNDARY SLIP DURING CREEP OF ALUMINIUM
19531
20
CRYSTAL SLIP IN ALUMINIUM DURING CREEP
19521

About David McLean

David McLean is a scholar working on Chemical Health and Safety, Artificial Intelligence, Mechanical Engineering, Structural Biology and Architecture, having authored 175 papers that have together received 6.2k indexed citations. Recurring topics across this work include Microstructure and mechanical properties (21 papers), High Temperature Alloys and Creep (17 papers), Microstructure and Mechanical Properties of Steels (13 papers), Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers), Neural Networks and Applications (10 papers), Metallurgy and Material Forming (8 papers) and Fuzzy Logic and Control Systems (7 papers). The work is most often cited by research in Metals and Alloys (288 citations), Mechanical Engineering (2.1k citations), Materials Chemistry (2.1k citations), Artificial Intelligence (1.4k citations) and Computer Science Applications (200 citations). David McLean has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include A. A. Maradudin, Zuhair Bandar, Yuhua Li, Keeley Crockett, James O’Shea, D. J. Dingley, Annabel Latham, B. F. Dyson, S. Mitra and H. R. Tipler. Their work appears in journals such as Occupational and Environmental Medicine, The Economic History Review, The English Historical Review, Journal of Ultrasound in Medicine and Nature.

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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