Laurie M. Heller

81 total papers · 945 total citations
37 papers, 620 citations indexed

About

Laurie M. Heller is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Speech and Hearing. According to data from OpenAlex, Laurie M. Heller has authored 37 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 16 papers in Experimental and Cognitive Psychology and 13 papers in Speech and Hearing. Recurrent topics in Laurie M. Heller's work include Hearing Loss and Rehabilitation (17 papers), Multisensory perception and integration (15 papers) and Noise Effects and Management (13 papers). Laurie M. Heller is often cited by papers focused on Hearing Loss and Rehabilitation (17 papers), Multisensory perception and integration (15 papers) and Noise Effects and Management (13 papers). Laurie M. Heller collaborates with scholars based in United States, France and Israel. Laurie M. Heller's co-authors include Lynne Marshall, Judi A. Lapsley Miller, Constantine Trahiotis, Guillaume Lemaître, Virginia M. Richards, Shelley D. Smith, Jessica M. Smith, Richard D. Kopke, John G. Neuhoff and Jeremy M. Wolfe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cerebral Cortex.

In The Last Decade

Laurie M. Heller

35 papers receiving 583 citations

Author Peers

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

Author						Papers	Cites
Laurie M. Heller	504	320	281	126	87	37	620
William M. Whitmer	427 0.8×	149 0.5×	270 1.0×	85 0.7×	131 1.5×	52	605
Patpong Jiradejvong	534 1.1×	179 0.6×	230 0.8×	85 0.7×	90 1.0×	31	608
Frederick N. Martin	489 1.0×	209 0.7×	169 0.6×	107 0.8×	149 1.7×	58	776
Bruce H. Deatherage	385 0.8×	312 1.0×	136 0.5×	94 0.7×	43 0.5×	31	710
Paula C. Stacey	584 1.2×	194 0.6×	178 0.6×	210 1.7×	115 1.3×	27	760
Elmer Owens	534 1.1×	184 0.6×	206 0.7×	191 1.5×	199 2.3×	34	770
Inyong Choi	459 0.9×	144 0.5×	154 0.5×	86 0.7×	89 1.0×	42	592
Ting Zhang	524 1.0×	115 0.4×	126 0.4×	100 0.8×	66 0.8×	35	633
Christopher J. Smalt	471 0.9×	223 0.7×	151 0.5×	85 0.7×	130 1.5×	43	614
Lynne Marshall	611 1.2×	485 1.5×	382 1.4×	43 0.3×	59 0.7×	39	777

Countries citing papers authored by Laurie M. Heller

Since Specialization

Citations

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

Fields of papers citing papers by Laurie M. Heller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurie M. Heller. 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 Laurie M. Heller. The network helps show where Laurie M. Heller may publish in the future.

Co-authorship network of co-authors of Laurie M. Heller

This figure shows the co-authorship network connecting the top 25 collaborators of Laurie M. Heller. A scholar is included among the top collaborators of Laurie M. Heller 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 Laurie M. Heller. Laurie M. Heller 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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