Ryan‐Rhys Griffiths

About

Ryan‐Rhys Griffiths is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Ryan‐Rhys Griffiths has authored 15 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Ryan‐Rhys Griffiths’s work include Machine Learning and Algorithms (4 papers), Machine Learning in Materials Science (3 papers) and Computational Drug Discovery Methods (3 papers). Ryan‐Rhys Griffiths is often cited by papers focused on Machine Learning and Algorithms (4 papers), Machine Learning in Materials Science (3 papers) and Computational Drug Discovery Methods (3 papers). Ryan‐Rhys Griffiths collaborates with scholars based in United Kingdom, United States and Germany. Ryan‐Rhys Griffiths's co-authors include José Miguel Hernández-Lobato, Johannes T. Margraf, Simon Wengert, Noam Bernstein, Karsten Reuter, Gábor Cśanyi, Bingqing Cheng, Bonan Zhu, Christian Künkel and Volker L. Deringer and has published in prestigious journals such as The Astrophysical Journal, Accounts of Chemical Research and Chemical Science.

In The Last Decade

Co-authorship network of co-authors of Ryan‐Rhys Griffiths i

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Fields of papers citing papers by Ryan‐Rhys Griffiths

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan‐Rhys Griffiths. 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 Ryan‐Rhys Griffiths. The network helps show where Ryan‐Rhys Griffiths may publish in the future.

Countries citing papers authored by Ryan‐Rhys Griffiths

Since Specialization

Citations

This map shows the geographic impact of Ryan‐Rhys Griffiths'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 Ryan‐Rhys Griffiths with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan‐Rhys Griffiths 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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