J.G. Taylor
- Nuclear and High Energy Physics top 2%
- Astronomy and Astrophysics top 5%
- Statistical and Nonlinear Physics top 2%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Co-authors
- A. RestucciaSubhash RajpootVictor O. RivellesMarcelo GleiserRüdiger J. SeitzHans‐Joachim FreundN. Jon ShahKarl Zilles
- Topics
- Black Holes and Theoretical Physics (83 papers)Particle physics theoretical and experimental studies (42 papers)Cosmology and Gravitation Theories (37 papers)
- Partner nations
- United KingdomVenezuelaItaly
In The Last Decade
J.G. Taylor
118 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Nuclear and High Energy Physics 807
- Astronomy and Astrophysics 388
- Statistical and Nonlinear Physics 315
- Cognitive Neuroscience 211
- Artificial Intelligence 105
Countries citing papers authored by J.G. Taylor
This map shows the geographic impact of J.G. Taylor'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 J.G. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.G. Taylor more than expected).
Fields of papers citing papers by J.G. Taylor
This network shows the impact of papers produced by J.G. Taylor. 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 J.G. Taylor. The network helps show where J.G. Taylor may publish in the future.
Co-authorship network of co-authors of J.G. Taylor
This figure shows the co-authorship network connecting the top 25 collaborators of J.G. Taylor. A scholar is included among the top collaborators of J.G. Taylor 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 J.G. Taylor. J.G. Taylor 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 | The 'I' 's Eye View of Its Consciousness | 2 |
| 3 | 16 | |
| 4 | Concepts for Neural Networks: A Survey | 10 |
| 5 | 5 | |
| 6 | ENCODING TEMPORAL STRUCTURE IN PROBABILISTIC RAM NETS | 3 |
| 7 | On temporal sequence storage | 1 |
| 8 | Hardware realisable models of neural processing | 19 |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 21 | |
| 13 | 0 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 6 | |
| 18 | 43 | |
| 19 | 2 | |
| 20 | 2 |
About J.G. Taylor
J.G. Taylor is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Astronomy and Astrophysics, having authored 125 papers that have together received 1.3k indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (83 papers), Particle physics theoretical and experimental studies (42 papers) and Cosmology and Gravitation Theories (37 papers). The work is most often cited by research in Nuclear and High Energy Physics (807 citations), Statistical and Nonlinear Physics (315 citations) and Astronomy and Astrophysics (388 citations). J.G. Taylor has collaborated with scholars based in United Kingdom, Venezuela and Italy. Frequent co-authors include A. Restuccia, Subhash Rajpoot, Victor O. Rivelles, Marcelo Gleiser, Rüdiger J. Seitz, Hans‐Joachim Freund, N. Jon Shah, Karl Zilles, Stefan Geyer and Ferdinand Binkofski. Their work appears in journals such as Nature, Physical Review Letters and Journal of Neurophysiology.
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.