Patricia Scanlon

33 total papers · 910 total citations
26 papers, 675 citations indexed

About

Patricia Scanlon is a scholar working on Signal Processing, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Patricia Scanlon has authored 26 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 6 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Patricia Scanlon's work include Speech and Audio Processing (7 papers), Machine Fault Diagnosis Techniques (4 papers) and Music and Audio Processing (3 papers). Patricia Scanlon is often cited by papers focused on Speech and Audio Processing (7 papers), Machine Fault Diagnosis Techniques (4 papers) and Music and Audio Processing (3 papers). Patricia Scanlon collaborates with scholars based in United States, Ireland and Germany. Patricia Scanlon's co-authors include Irwin O. Kennedy, Richard B. Reilly, Milind M. Buddhikot, Keith Nolan, Thomas W. Rondeau, Daniel P. W. Ellis, Gail Potter-Bynoe, Thomas J. Sandora, Frank Boland and Darren F. Kavanagh and has published in prestigious journals such as PEDIATRICS, Archives of Disease in Childhood and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Patricia Scanlon

26 papers receiving 635 citations

Author Peers

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

Author						Papers	Cites
Patricia Scanlon	281	187	126	125	98	26	675
Yen-Ping Chen	148 0.5×	38 0.2×	55 0.4×	75 0.6×	273 2.8×	27	696
Ahsen Tahir	197 0.7×	51 0.3×	26 0.2×	114 0.9×	158 1.6×	38	724
Narges Armanfard	190 0.7×	75 0.4×	155 1.2×	14 0.1×	215 2.2×	47	758
Jiří Beneš	148 0.5×	36 0.2×	166 1.3×	33 0.3×	63 0.6×	61	738
Elizabeth C. Botha	164 0.6×	157 0.8×	49 0.4×	255 2.0×	166 1.7×	44	650
Matthias Wolff	176 0.6×	100 0.5×	66 0.5×	18 0.1×	45 0.5×	76	610
Neelam Sanjeev Kumar	100 0.4×	32 0.2×	42 0.3×	185 1.5×	61 0.6×	80	752
Samaneh Kouchaki	120 0.4×	108 0.6×	80 0.6×	15 0.1×	39 0.4×	54	728
Robert Dürichen	177 0.6×	43 0.2×	24 0.2×	31 0.2×	173 1.8×	23	723
Luis Miguel Soria Morillo	140 0.5×	30 0.2×	27 0.2×	79 0.6×	398 4.1×	31	670

Countries citing papers authored by Patricia Scanlon

Since Specialization

Citations

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

Fields of papers citing papers by Patricia Scanlon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Scanlon

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