Michael J. Willatt

About

Michael J. Willatt is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michael J. Willatt has authored 13 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Computational Theory and Mathematics and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michael J. Willatt’s work include Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (7 papers) and X-ray Diffraction in Crystallography (5 papers). Michael J. Willatt is often cited by papers focused on Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (7 papers) and X-ray Diffraction in Crystallography (5 papers). Michael J. Willatt collaborates with scholars based in Switzerland, United Kingdom and Germany. Michael J. Willatt's co-authors include Michele Ceriotti, Félix Musil, Stuart C. Althorpe, Andrea Muolo, Timothy J. H. Hele, Christoph Ortner, Albert P. Bartók, Gábor Cśanyi, Jigyasa Nigam and Till Junge and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical Chemistry Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Michael J. Willatt i

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Fields of papers citing papers by Michael J. Willatt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Willatt. 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 Michael J. Willatt. The network helps show where Michael J. Willatt may publish in the future.

Countries citing papers authored by Michael J. Willatt

Since Specialization

Citations

This map shows the geographic impact of Michael J. Willatt'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 Michael J. Willatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Willatt 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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