David McLean
Impact in
- Metals and Alloys top 1%
- Mechanical Engineering top 0.5%
- High Temperature Alloys and Creep
- Microstructure and Mechanical Properties of Steels
Papers in
-
- Topic Modeling 16
- Natural Language Processing Techniques 14
- Neural Networks and Applications 11
- Intelligent Tutoring Systems and Adaptive Learning 9
-
- High Temperature Alloys and Creep 19
- Microstructure and Mechanical Properties of Steels 14
- Co-authors
- A. A. Maradudin (1 shared paper)Zuhair Bandar (28 shared papers)Yuhua Li (4 shared papers)Keeley Crockett (29 shared papers)James O’Shea (13 shared papers)Annabel Latham (13 shared papers)B. F. Dyson (3 shared papers)D. J. Dingley (1 shared paper)
- Journals
- Occupational and Environmental Medicine (6 papers)The Economic History Review (5 papers)The English Historical Review (5 papers)Nature (4 papers)Journal of Ultrasound in Medicine (4 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
David McLean
174 papers receiving 6.2k citations
David McLean's Hit Papers
Peers
Comparison fields: 5 of 207
- Metals and Alloys 303
- Mechanical Engineering 2.3k
- Artificial Intelligence 1.8k
- Materials Chemistry 2.3k
- Computer Science Applications 256
Countries citing papers authored by David McLean
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
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-authors
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.
All Works
Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Grain Boundaries in Metals Hit paper breakdown → | 1958 | 1747 |
| 2 | An approach for measuring semantic similarity between words using multiple information sources Hit paper breakdown → | 2003 | 855 |
| 3 | Sentence similarity based on semantic nets and corpus statistics Hit paper breakdown → | 2006 | 652 |
| 4 | 1967 | 189 | |
| 5 | 1966 | 156 | |
| 6 | 1974 | 149 | |
| 7 | 2011 | 141 | |
| 8 | 1977 | 112 | |
| 9 | 1974 | 104 | |
| 10 | 1960 | 103 | |
| 11 | 1967 | 100 | |
| 12 | 2013 | 90 | |
| 13 | 1954 | 87 | |
| 14 | 2004 | 86 | |
| 15 | 1966 | 82 | |
| 16 | 1972 | 81 | |
| 17 | 1997 | 71 | |
| 18 | 1965 | 62 | |
| 19 | 1968 | 61 | |
| 20 | 2004 | 60 |
About David McLean
David McLean is a scholar working on Artificial Intelligence, Mechanical Engineering, Materials Chemistry, Mechanics of Materials and Sociology and Political Science, having authored 190 papers that have together received 7.1k indexed citations. Recurring topics across this work include Microstructure and mechanical properties (21 papers), High Temperature Alloys and Creep (19 papers), Topic Modeling (16 papers), Microstructure and Mechanical Properties of Steels (14 papers), Natural Language Processing Techniques (14 papers), Neural Networks and Applications (11 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers) and Metallurgy and Material Forming (8 papers). The work is most often cited by research in Metals and Alloys (303 citations), Mechanical Engineering (2.3k citations), Artificial Intelligence (1.8k citations), Materials Chemistry (2.3k citations) and Computer Science Applications (256 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, Annabel Latham, B. F. Dyson, D. J. Dingley, Bruce Edmonds and S. Mitra. Their work appears in journals such as Occupational and Environmental Medicine, The Economic History Review, The English Historical Review, Nature and Journal of Ultrasound in Medicine.
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.