Jennifer Williams

About

Jennifer Williams is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jennifer Williams has authored 28 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jennifer Williams’s work include Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (6 papers). Jennifer Williams is often cited by papers focused on Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (6 papers). Jennifer Williams collaborates with scholars based in United Kingdom, United States and Japan. Jennifer Williams's co-authors include Simon King, Ramona Comanescu, S.P.K. Payne, Philip C. Calder, Abbie L. Cawood, Robert F. Grimble, Ola Gudmundsen, Matthew J. Ward, Ding Ren and Shu Ye and has published in prestigious journals such as Atherosclerosis, Clinical Neurophysiology and Marine Drugs.

In The Last Decade

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

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Fields of papers citing papers by Jennifer Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jennifer Williams

Since Specialization

Citations

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