Philip Williams

32 papers and 366 indexed citations i.

About

Philip Williams is a scholar working on Artificial Intelligence, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Philip Williams has authored 32 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Sociology and Political Science and 2 papers in Molecular Biology. Recurrent topics in Philip Williams’s work include Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Text Readability and Simplification (5 papers). Philip Williams is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Text Readability and Simplification (5 papers). Philip Williams collaborates with scholars based in United Kingdom, United States and Germany. Philip Williams's co-authors include Philipp Koehn, Rico Sennrich, Barry Haddow, Kenneth Heafield, Anna Currey, Alexandra Birch, Manuel A. Vásquez, Ulrich Germann, Antonio Valerio Miceli Barone and Maria Nădejde and has published in prestigious journals such as The Science of The Total Environment, Journal for the Scientific Study of Religion and IEEE Sensors Journal.

In The Last Decade

Co-authorship network of co-authors of Philip Williams i

Fields of papers citing papers by Philip Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Williams. 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 Philip Williams. The network helps show where Philip Williams may publish in the future.

Countries citing papers authored by Philip Williams

Since Specialization
Citations

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