Eric M. Schearer

39 total papers · 408 total citations
32 papers, 258 citations indexed

About

Eric M. Schearer is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, Eric M. Schearer has authored 32 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 18 papers in Cognitive Neuroscience and 10 papers in Rehabilitation. Recurrent topics in Eric M. Schearer's work include Muscle activation and electromyography studies (25 papers), EEG and Brain-Computer Interfaces (15 papers) and Stroke Rehabilitation and Recovery (10 papers). Eric M. Schearer is often cited by papers focused on Muscle activation and electromyography studies (25 papers), EEG and Brain-Computer Interfaces (15 papers) and Stroke Rehabilitation and Recovery (10 papers). Eric M. Schearer collaborates with scholars based in United States, Philippines and Italy. Eric M. Schearer's co-authors include Marcia K. O’Malley, Eric J. Perreault, Matthew C. Tresch, Kevin Lynch, Yu-Wei Liao, William D. Memberg, Robert F. Kirsch, Craig G. McDonald, Andrew B. Slifkin and Hongkai Yu and has published in prestigious journals such as PLoS ONE, Experimental Neurology and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Eric M. Schearer

30 papers receiving 255 citations

Author Peers

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

Author						Papers	Cites
Eric M. Schearer	194	127	115	61	48	32	258
Joan Aranda	164 0.8×	78 0.6×	88 0.8×	58 1.0×	25 0.5×	28	322
Rahman Davoodi	247 1.3×	71 0.6×	196 1.7×	107 1.8×	13 0.3×	25	309
Victor H. Duenas	259 1.3×	123 1.0×	82 0.7×	108 1.8×	24 0.5×	41	327
Ahmetcan Erdoğan	151 0.8×	111 0.9×	72 0.6×	16 0.3×	14 0.3×	22	300
Andrew Erwin	234 1.2×	125 1.0×	95 0.8×	15 0.2×	25 0.5×	28	314
Xuefeng Bao	241 1.2×	114 0.9×	29 0.3×	33 0.5×	55 1.1×	28	313
Marian-Silviu Poboroniuc	156 0.8×	112 0.9×	149 1.3×	72 1.2×	6 0.1×	52	315
Yimesker Yihun	194 1.0×	91 0.7×	54 0.5×	30 0.5×	11 0.2×	44	270
Monika Błaszczyszyn	96 0.5×	47 0.4×	72 0.6×	14 0.2×	36 0.8×	34	291
Suncheol Kwon	229 1.2×	67 0.5×	120 1.0×	35 0.6×	7 0.1×	32	285

Countries citing papers authored by Eric M. Schearer

Since Specialization

Citations

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

Fields of papers citing papers by Eric M. Schearer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric M. Schearer

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