D. G. Lampard
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- A.M. ThompsonJ. F. BarrettW. A. BrownStephen RedmanWendy A. BrownNoel CassDavid L. MorganRobert D. Cutkosky
- Topics
- Scientific Research and Discoveries (6 papers)Neuroscience and Neural Engineering (5 papers)Pain Mechanisms and Treatments (4 papers)
- Cited by
- Statistics, Probability and UncertaintyAnesthesiology and Pain MedicineStatistics and Probability
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
D. G. Lampard
49 papers receiving 763 citations
Peers
Comparison fields: 5 of 113
- Electrical and Electronic Engineering 220
- Artificial Intelligence 115
- Computer Networks and Communications 114
- Biomedical Engineering 110
- Statistics, Probability and Uncertainty 93
Countries citing papers authored by D. G. Lampard
This map shows the geographic impact of D. G. Lampard'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 D. G. Lampard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. G. Lampard more than expected).
Fields of papers citing papers by D. G. Lampard
This network shows the impact of papers produced by D. G. Lampard. 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 D. G. Lampard. The network helps show where D. G. Lampard may publish in the future.
Co-authorship network of co-authors of D. G. Lampard
This figure shows the co-authorship network connecting the top 25 collaborators of D. G. Lampard. A scholar is included among the top collaborators of D. G. Lampard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. G. Lampard. D. G. Lampard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | 64 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 39 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 29 | |
| 12 | 2 | |
| 13 | 59 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 18 | |
| 19 | 7 | |
| 20 | 2 |
About D. G. Lampard
D. G. Lampard is a scholar working on Developmental Neuroscience, Statistical and Nonlinear Physics and Critical Care and Intensive Care Medicine, having authored 49 papers that have together received 870 indexed citations. Recurring topics across this work include Scientific Research and Discoveries (6 papers), Neuroscience and Neural Engineering (5 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (93 citations), Anesthesiology and Pain Medicine (52 citations) and Statistics and Probability (68 citations). D. G. Lampard has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include A.M. Thompson, J. F. Barrett, W. A. Brown, Stephen Redman, Wendy A. Brown, Noel Cass, David L. Morgan, Robert D. Cutkosky, R.I. Griffiths and Kim Choon Ng. Their work appears in journals such as Nature, Journal of Applied Physics and Proceedings of the IEEE.
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.