Alex C. Williams

66 total papers · 921 total citations
41 papers, 625 citations indexed

About

Alex C. Williams is a scholar working on Information Systems and Management, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Alex C. Williams has authored 41 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems and Management, 10 papers in Social Psychology and 10 papers in Artificial Intelligence. Recurrent topics in Alex C. Williams's work include Mobile Crowdsensing and Crowdsourcing (10 papers), Personal Information Management and User Behavior (8 papers) and Handwritten Text Recognition Techniques (4 papers). Alex C. Williams is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (10 papers), Personal Information Management and User Behavior (8 papers) and Handwritten Text Recognition Techniques (4 papers). Alex C. Williams collaborates with scholars based in United States, Canada and United Kingdom. Alex C. Williams's co-authors include Edith Law, Shamsi T. Iqbal, Jaime Teevan, Harmanpreet Kaur, Charles C. Davis, Daniel Park, Gloria Mark, Aaron M. Ellison, Ian Breckheimer and Daniel McDuff and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, New Phytologist and Journal of science and medicine in sport.

In The Last Decade

Alex C. Williams

37 papers receiving 605 citations

Author Peers

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

Author Last Decade Papers Cites
Alex C. Williams 138 105 104 101 84 41 625
Jeffrey Laut 105 0.8× 44 0.4× 34 0.3× 73 0.7× 54 0.6× 22 630
Maria Aristeidou 259 1.9× 38 0.4× 93 0.9× 80 0.8× 174 2.1× 37 591
Deborah J. Trumbull 225 1.6× 34 0.3× 109 1.0× 51 0.5× 167 2.0× 27 663
Marisa Ponti 174 1.3× 9 0.1× 168 1.6× 109 1.1× 85 1.0× 43 733
Maximilian Eibl 94 0.7× 52 0.5× 21 0.2× 11 0.1× 20 0.2× 65 682
Matthias Stevens 74 0.5× 8 0.1× 44 0.4× 204 2.0× 27 0.3× 13 631
Daniel Schneider 79 0.6× 9 0.1× 119 1.1× 155 1.5× 59 0.7× 68 566
Thomas Huk 13 0.1× 60 0.6× 23 0.2× 30 0.3× 41 0.5× 22 637
Ramine Tinati 131 0.9× 8 0.1× 254 2.4× 145 1.4× 52 0.6× 54 747
Athen Ma 34 0.2× 114 1.1× 51 0.5× 15 0.1× 9 0.1× 26 676

Countries citing papers authored by Alex C. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Alex C. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex C. Williams

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