Ashley Williams

74 total papers · 712 total citations
37 papers, 517 citations indexed

About

Ashley Williams is a scholar working on Information Systems, Computer Science Applications and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ashley Williams has authored 37 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 6 papers in Computer Science Applications and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ashley Williams's work include Software Engineering Research (15 papers), Software Engineering Techniques and Practices (13 papers) and Open Source Software Innovations (6 papers). Ashley Williams is often cited by papers focused on Software Engineering Research (15 papers), Software Engineering Techniques and Practices (13 papers) and Open Source Software Innovations (6 papers). Ashley Williams collaborates with scholars based in United States, New Zealand and United Kingdom. Ashley Williams's co-authors include Austen Rainer, Mohini Ranganathan, Deepak Cyril D’Souza, R. Andrew Sewell, Patrick D. Skosnik, Brian Pittman, Leonard Gianessi, Ashley M. Schnakenberg Martin, Brian J. Roach and Daniel H. Mathalon and has published in prestigious journals such as Biological Psychiatry, Neuropsychopharmacology and Psychopharmacology.

In The Last Decade

Ashley Williams

35 papers receiving 489 citations

Author Peers

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

Author Last Decade Papers Cites
Ashley Williams 201 158 105 100 38 37 517
Leanne Coyne 117 0.6× 237 1.5× 54 0.5× 33 0.3× 6 0.2× 25 595
Monika Szpringer 35 0.2× 53 0.3× 8 0.1× 86 0.9× 158 4.2× 27 571
David E. Bresler 27 0.1× 56 0.4× 124 1.2× 34 0.3× 17 0.4× 15 492
Qibin Chen 171 0.9× 33 0.2× 68 0.6× 122 1.2× 24 0.6× 35 549
Carlos Alberto Castillo 41 0.2× 141 0.9× 22 0.2× 17 0.2× 17 0.4× 37 478
Nishant S. Jain 149 0.7× 275 1.7× 57 0.5× 5 0.1× 60 1.6× 31 596
Sarah Rutter 148 0.7× 51 0.3× 137 1.3× 14 0.1× 162 4.3× 25 559
Haijing Zhang 83 0.4× 16 0.1× 11 0.1× 26 0.3× 24 0.6× 38 590
Allyson Washburn 46 0.2× 75 0.5× 132 1.3× 29 0.3× 33 0.9× 36 591
Ali Khan 48 0.2× 41 0.3× 38 0.4× 12 0.1× 91 2.4× 42 541

Countries citing papers authored by Ashley Williams

Since Specialization
Citations

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

Fields of papers citing papers by Ashley Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashley Williams

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