Neil T. Kemp
- Electrical and Electronic Engineering top 5%
- Polymers and Plastics top 5%
- Materials Chemistry
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Ayoub H. JaafarJ. W. CochraneA. B. KaiserB. ChapmanE. VerrelliR. NewburyAshton PartridgeH. J. Trodahl
- Topics
- Conducting polymers and applications (20 papers)Advanced Memory and Neural Computing (18 papers)Molecular Junctions and Nanostructures (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAdvanced Materials
- Partner nations
- United KingdomAustraliaNew Zealand
In The Last Decade
Neil T. Kemp
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Electrical and Electronic Engineering 684
- Polymers and Plastics 450
- Materials Chemistry 339
- Biomedical Engineering 271
- Cellular and Molecular Neuroscience 174
Countries citing papers authored by Neil T. Kemp
This map shows the geographic impact of Neil T. Kemp'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 Neil T. Kemp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil T. Kemp more than expected).
Fields of papers citing papers by Neil T. Kemp
This network shows the impact of papers produced by Neil T. Kemp. 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 Neil T. Kemp. The network helps show where Neil T. Kemp may publish in the future.
Co-authorship network of co-authors of Neil T. Kemp
This figure shows the co-authorship network connecting the top 25 collaborators of Neil T. Kemp. A scholar is included among the top collaborators of Neil T. Kemp 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 Neil T. Kemp. Neil T. Kemp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 20 | |
| 4 | 30 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 17 | |
| 15 | 30 | |
| 16 | 1 | |
| 17 | 39 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 21 |
About Neil T. Kemp
Neil T. Kemp is a scholar working on Polymers and Plastics, Bioengineering and Electrical and Electronic Engineering, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Conducting polymers and applications (20 papers), Advanced Memory and Neural Computing (18 papers) and Molecular Junctions and Nanostructures (11 papers). The work is most often cited by research in Polymers and Plastics (450 citations), Bioengineering (148 citations) and Electrical and Electronic Engineering (684 citations). Neil T. Kemp has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include Ayoub H. Jaafar, J. W. Cochrane, A. B. Kaiser, B. Chapman, E. Verrelli, R. Newbury, Ashton Partridge, H. J. Trodahl, R. G. Buckley and Stephen M. Kelly. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.
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.