Joseph P. Salisbury

50 total papers · 948 total citations
28 papers, 551 citations indexed

About

Joseph P. Salisbury is a scholar working on Cognitive Neuroscience, Molecular Biology and Education. According to data from OpenAlex, Joseph P. Salisbury has authored 28 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Molecular Biology and 5 papers in Education. Recurrent topics in Joseph P. Salisbury's work include Autism Spectrum Disorder Research (7 papers), Child Development and Digital Technology (5 papers) and Assistive Technology in Communication and Mobility (4 papers). Joseph P. Salisbury is often cited by papers focused on Autism Spectrum Disorder Research (7 papers), Child Development and Digital Technology (5 papers) and Assistive Technology in Communication and Mobility (4 papers). Joseph P. Salisbury collaborates with scholars based in United States, Canada and Ireland. Joseph P. Salisbury's co-authors include Ned T. Sahin, Arshya Vahabzadeh, Neha U. Keshav, Runpeng Liu, Jeffrey N. Agar, Jared R. Auclair, Qian Liu, Daryl A. Bosco, Joshua L. Johnson and Tony J. Simon and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Biochemistry.

In The Last Decade

Joseph P. Salisbury

27 papers receiving 537 citations

Author Peers

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

Author						Papers	Cites
Joseph P. Salisbury	261	152	132	74	71	28	551
Sylvie Serret	371 1.4×	45 0.3×	166 1.3×	55 0.7×	18 0.3×	22	562
Marco Simões	413 1.6×	45 0.3×	73 0.6×	6 0.1×	13 0.2×	43	598
Victoria Yaneva	230 0.9×	39 0.3×	141 1.1×	16 0.2×	41 0.6×	42	578
Sara Forti	350 1.3×	38 0.3×	78 0.6×	45 0.6×	11 0.2×	16	455
Huilin Zhu	261 1.0×	20 0.1×	53 0.4×	18 0.2×	24 0.3×	41	488
Nan‐Ying Yu	154 0.6×	32 0.2×	170 1.3×	9 0.1×	19 0.3×	27	486
Maura Sabatos‐DeVito	356 1.4×	18 0.1×	111 0.8×	34 0.5×	7 0.1×	22	525
Hendrik Müller	58 0.2×	8 0.1×	42 0.3×	14 0.2×	28 0.4×	29	447
Sowjanya Gowrisankaran	140 0.5×	16 0.1×	11 0.1×	37 0.5×	14 0.2×	23	529
Kaitlyn Dunlap	286 1.1×	22 0.1×	162 1.2×	20 0.3×	17 0.2×	23	500

Countries citing papers authored by Joseph P. Salisbury

Since Specialization

Citations

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

Fields of papers citing papers by Joseph P. Salisbury

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph P. Salisbury. 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 Joseph P. Salisbury. The network helps show where Joseph P. Salisbury may publish in the future.

Co-authorship network of co-authors of Joseph P. Salisbury

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph P. Salisbury. A scholar is included among the top collaborators of Joseph P. Salisbury 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 Joseph P. Salisbury. Joseph P. Salisbury 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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