Paul S. Haynes

About

Paul S. Haynes is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Materials Chemistry. According to data from OpenAlex, Paul S. Haynes has authored 6 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 3 papers in Statistical and Nonlinear Physics and 2 papers in Materials Chemistry. Recurrent topics in Paul S. Haynes’s work include Magnetic confinement fusion research (6 papers), Neural Networks and Applications (2 papers) and Superconducting Materials and Applications (2 papers). Paul S. Haynes is often cited by papers focused on Magnetic confinement fusion research (6 papers), Neural Networks and Applications (2 papers) and Superconducting Materials and Applications (2 papers). Paul S. Haynes collaborates with scholars based in United Kingdom. Paul S. Haynes's co-authors include G. Fishpool, T. C. Hender, D.C. Robinson, J. Hugill, I. Jenkins, S.J. Fielding, P. G. Carolan, T. Edlington, T. N. Todd and G. Vayakis and has published in prestigious journals such as Physical Review Letters, Neural Computation and Nuclear Fusion.

In The Last Decade

Co-authorship network of co-authors of Paul S. Haynes i

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Fields of papers citing papers by Paul S. Haynes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul S. Haynes. 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 Paul S. Haynes. The network helps show where Paul S. Haynes may publish in the future.

Countries citing papers authored by Paul S. Haynes

Since Specialization

Citations

This map shows the geographic impact of Paul S. Haynes'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 Paul S. Haynes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul S. Haynes more than expected).

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.

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