George T. Williams

41 total papers · 1.1k total citations
26 papers, 884 citations indexed

About

George T. Williams is a scholar working on Materials Chemistry, Biomaterials and Spectroscopy. According to data from OpenAlex, George T. Williams has authored 26 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 10 papers in Biomaterials and 10 papers in Spectroscopy. Recurrent topics in George T. Williams's work include Luminescence and Fluorescent Materials (11 papers), Supramolecular Self-Assembly in Materials (10 papers) and Molecular Sensors and Ion Detection (10 papers). George T. Williams is often cited by papers focused on Luminescence and Fluorescent Materials (11 papers), Supramolecular Self-Assembly in Materials (10 papers) and Molecular Sensors and Ion Detection (10 papers). George T. Williams collaborates with scholars based in United Kingdom, United States and China. George T. Williams's co-authors include John Fossey, A. Toby A. Jenkins, Jennifer R. Hiscock, Tony D. James, Adam C. Sedgwick, Steven D. Bull, Jonathan L. Sessler, Cally J. E. Haynes, Mohamed Farès and Philip A. Gale and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Nature Nanotechnology.

In The Last Decade

George T. Williams

25 papers receiving 869 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
George T. Williams	283	274	250	213	195	26	884
Wei‐Tao Dou	489 1.7×	331 1.2×	304 1.2×	211 1.0×	300 1.5×	53	1.1k
Isabelle Gosse	347 1.2×	250 0.9×	182 0.7×	233 1.1×	172 0.9×	27	787
Arundhati Roy	252 0.9×	567 2.1×	519 2.1×	351 1.6×	214 1.1×	24	1.1k
Kangning Zhu	453 1.6×	251 0.9×	362 1.4×	119 0.6×	396 2.0×	24	987
Shagufta H. Shabbir	304 1.1×	498 1.8×	362 1.4×	361 1.7×	177 0.9×	14	1.1k
Srikanta Sahu	325 1.1×	247 0.9×	246 1.0×	170 0.8×	114 0.6×	24	833
Rui Liu	297 1.0×	220 0.8×	313 1.3×	181 0.8×	227 1.2×	35	887
Tatsuhiro Yamamoto	396 1.4×	248 0.9×	235 0.9×	229 1.1×	189 1.0×	36	849
Jens Chr. Norrild	308 1.1×	423 1.5×	324 1.3×	326 1.5×	121 0.6×	16	923
Pradip K. Sukul	385 1.4×	201 0.7×	192 0.8×	232 1.1×	80 0.4×	26	858

Countries citing papers authored by George T. Williams

Since Specialization

Citations

This map shows the geographic impact of George T. 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 George T. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George T. Williams more than expected).

Fields of papers citing papers by George T. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George T. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of George T. Williams. A scholar is included among the top collaborators of George T. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with George T. Williams. George T. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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