P.W. Haycock
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 10%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Charles DayJ.B. ButcherBenjamin SchrauwenD. VerstraetenP. D. TownsendAnthony C. JonesJ. Christopher AustinC.P. Myers
- Topics
- Magnetic properties of thin films (12 papers)Advanced Memory and Neural Computing (8 papers)Neural Networks and Reservoir Computing (8 papers)
- Cited by
- Condensed Matter PhysicsElectronic, Optical and Magnetic MaterialsElectrical and Electronic Engineering
- Partner nations
- United KingdomBelgiumRomania
In The Last Decade
P.W. Haycock
55 papers receiving 770 citations
Peers
Comparison fields: 5 of 86
- Electrical and Electronic Engineering 352
- Materials Chemistry 219
- Atomic and Molecular Physics, and Optics 178
- Artificial Intelligence 166
- Electronic, Optical and Magnetic Materials 151
Countries citing papers authored by P.W. Haycock
This map shows the geographic impact of P.W. Haycock'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 P.W. Haycock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.W. Haycock more than expected).
Fields of papers citing papers by P.W. Haycock
This network shows the impact of papers produced by P.W. Haycock. 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 P.W. Haycock. The network helps show where P.W. Haycock may publish in the future.
Co-authorship network of co-authors of P.W. Haycock
This figure shows the co-authorship network connecting the top 25 collaborators of P.W. Haycock. A scholar is included among the top collaborators of P.W. Haycock 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 P.W. Haycock. P.W. Haycock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 108 | |
| 5 | Extending reservoir computing with random static projections: a hybrid between extreme learning and RC | 17 |
| 6 | 2 | |
| 7 | Non-destructive detection of corrosion in steel reinforcement | 1 |
| 8 | 30 | |
| 9 | 23 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 40 |
About P.W. Haycock
P.W. Haycock is a scholar working on Radiation, Condensed Matter Physics and Bioengineering, having authored 58 papers that have together received 811 indexed citations. Recurring topics across this work include Magnetic properties of thin films (12 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Reservoir Computing (8 papers). The work is most often cited by research in Condensed Matter Physics (119 citations), Electronic, Optical and Magnetic Materials (151 citations) and Electrical and Electronic Engineering (352 citations). P.W. Haycock has collaborated with scholars based in United Kingdom, Belgium and Romania. Frequent co-authors include Charles Day, J.B. Butcher, Benjamin Schrauwen, D. Verstraeten, P. D. Townsend, Anthony C. Jones, J. Christopher Austin, C.P. Myers, E. W. Williams and Lesley M. Smith. Their work appears in journals such as Advanced Materials, Applied Physics Letters and Journal of Applied Physics.
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.