Stephen M. Williams

35 total papers · 660 total citations
19 papers, 395 citations indexed

About

Stephen M. Williams is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Networks and Communications. According to data from OpenAlex, Stephen M. Williams has authored 19 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 2 papers in Computer Networks and Communications. Recurrent topics in Stephen M. Williams's work include Hemispheric Asymmetry in Neuroscience (9 papers), Multisensory perception and integration (4 papers) and Action Observation and Synchronization (2 papers). Stephen M. Williams is often cited by papers focused on Hemispheric Asymmetry in Neuroscience (9 papers), Multisensory perception and integration (4 papers) and Action Observation and Synchronization (2 papers). Stephen M. Williams collaborates with scholars based in United Kingdom. Stephen M. Williams's co-authors include Marc Abrams, Colin Cooper, Darren M. Ashcroft, Mary A. McLean, Robert Simister and Friedrich G. Woermann and has published in prestigious journals such as Neuropsychologia, Journal of Environmental Management and Cortex.

In The Last Decade

Stephen M. Williams

18 papers receiving 349 citations

Author Peers

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

Author Last Decade Papers Cites
Stephen M. Williams 157 127 87 57 53 19 395
Kai Kuikkaniemi 94 0.6× 182 1.4× 32 0.4× 64 1.1× 93 1.8× 38 396
Željko Obrenović 60 0.4× 160 1.3× 102 1.2× 120 2.1× 64 1.2× 40 424
Catherine G. Wolf 78 0.5× 198 1.6× 42 0.5× 71 1.2× 34 0.6× 29 392
Miguel A. Teruel 83 0.5× 83 0.7× 112 1.3× 35 0.6× 23 0.4× 30 356
Ina Wechsung 91 0.6× 168 1.3× 44 0.5× 81 1.4× 93 1.8× 44 435
Giuseppe Ghiani 79 0.5× 181 1.4× 81 0.9× 149 2.6× 30 0.6× 20 437
Sharon L. Greene 35 0.2× 157 1.2× 75 0.9× 58 1.0× 36 0.7× 18 429
Sylvie Noël 60 0.4× 145 1.1× 74 0.9× 78 1.4× 38 0.7× 15 364
Brett Stevens 71 0.5× 123 1.0× 66 0.8× 99 1.7× 20 0.4× 39 395
Mark C. Detweiler 107 0.7× 96 0.8× 54 0.6× 74 1.3× 30 0.6× 20 445

Countries citing papers authored by Stephen M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen M. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Williams. A scholar is included among the top collaborators of Stephen M. 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 Stephen M. Williams. Stephen M. 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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