William Pagliuca

1.1k total citations
3 papers, 9 citations indexed

About

William Pagliuca is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, William Pagliuca has authored 3 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Signal Processing, 1 paper in Artificial Intelligence and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in William Pagliuca's work include Spanish Linguistics and Language Studies (1 paper), linguistics and terminology studies (1 paper) and Speech and Audio Processing (1 paper). William Pagliuca is often cited by papers focused on Spanish Linguistics and Language Studies (1 paper), linguistics and terminology studies (1 paper) and Speech and Audio Processing (1 paper). William Pagliuca collaborates with scholars based in . William Pagliuca's co-authors include Revere D. Perkins and has published in prestigious journals such as Language, Lingua and Medical Entomology and Zoology.

In The Last Decade

William Pagliuca

3 papers receiving 7 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William Pagliuca 2 9 5 4 3 2 3 9
James Breen 3 9 1.0× 13 2.6× 10 2.5× 2 0.7× 5 21
W. M. Lindsay 3 6 0.7× 3 0.6× 16 4.0× 3 1.0× 7 26
Patrizia Cordin 3 10 1.1× 8 1.6× 9 2.3× 7 2.3× 11 17
Ludger Hoffmann Germany 2 4 0.4× 5 1.0× 16 4.0× 2 0.7× 4 16
Jesse Kirchner United States 2 11 1.2× 8 1.6× 11 2.8× 6 2.0× 1 0.5× 3 15
Louis Couturat 3 8 0.9× 1 0.2× 2 0.5× 4 1.3× 1 0.5× 8 24
Wilbur M. Urban 3 4 0.4× 2 0.5× 2 0.7× 7 16
Charles Wilmer Foster 3 2 0.2× 3 0.6× 4 1.0× 1 0.5× 6 14
Myles Leitch 2 15 1.7× 16 3.2× 5 1.3× 9 3.0× 4 18
Constance Kutsch Lojenga 4 16 1.8× 19 3.8× 12 3.0× 4 1.3× 5 20

Countries citing papers authored by William Pagliuca

Since Specialization
Citations

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

Fields of papers citing papers by William Pagliuca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Pagliuca

This figure shows the co-authorship network connecting the top 25 collaborators of William Pagliuca. A scholar is included among the top collaborators of William Pagliuca 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 William Pagliuca. William Pagliuca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Pagliuca, William & Revere D. Perkins. (1986). Patterns of sounds. Lingua. 70(4). 365–375. 1 indexed citations
2.
Pagliuca, William. (1982). Prolegomena to a theory of articulatory evolution. Medical Entomology and Zoology. 6 indexed citations
3.
Pagliuca, William, et al.. (1980). On certain evidence for the feature [grave]. Language. 56(3). 503–514. 2 indexed citations

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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