Martha L. McCurdy

19 total papers · 483 total citations
15 papers, 313 citations indexed

About

Martha L. McCurdy is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Martha L. McCurdy has authored 15 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 6 papers in Cognitive Neuroscience and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Martha L. McCurdy's work include Muscle activation and electromyography studies (9 papers), Motor Control and Adaptation (5 papers) and Neuroscience and Neural Engineering (2 papers). Martha L. McCurdy is often cited by papers focused on Muscle activation and electromyography studies (9 papers), Motor Control and Adaptation (5 papers) and Neuroscience and Neural Engineering (2 papers). Martha L. McCurdy collaborates with scholars based in United States, Australia and United Kingdom. Martha L. McCurdy's co-authors include Thomas M. Hamm, A. R. Gibson, James C. Houk, Meredith Rossner, David S. Tait, Mitchell Maltenfort, Charles F. Flaherty and Howard C. Becker and has published in prestigious journals such as NeuroImage, The Journal of Comparative Neurology and Journal of Neurophysiology.

In The Last Decade

Martha L. McCurdy

15 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
Martha L. McCurdy	159	92	89	78	34	15	313
L. Fedina	124 0.8×	104 1.1×	58 0.7×	190 2.4×	28 0.8×	12	332
Dana Darmohray	128 0.8×	55 0.6×	41 0.5×	75 1.0×	19 0.6×	11	290
Akintola B. Odutola	134 0.8×	68 0.7×	55 0.6×	83 1.1×	26 0.8×	7	312
H.-J. Hufschmidt	103 0.6×	89 1.0×	75 0.8×	98 1.3×	33 1.0×	34	361
Y.P. Shimansky	217 1.4×	75 0.8×	113 1.3×	31 0.4×	16 0.5×	16	300
Alessandro Contestabile	131 0.8×	73 0.8×	30 0.3×	105 1.3×	13 0.4×	18	308
Christina M. Cerkevich	276 1.7×	73 0.8×	50 0.6×	90 1.2×	27 0.8×	13	358
Yoh’i Zennou‐Azogui	130 0.8×	159 1.7×	26 0.3×	65 0.8×	66 1.9×	17	343
Joseph Inukai	64 0.4×	152 1.7×	52 0.6×	123 1.6×	53 1.6×	8	319
Taku Hasegawa	130 0.8×	50 0.5×	41 0.5×	123 1.6×	41 1.2×	11	344

Countries citing papers authored by Martha L. McCurdy

Since Specialization

Citations

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

Fields of papers citing papers by Martha L. McCurdy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martha L. McCurdy. 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 Martha L. McCurdy. The network helps show where Martha L. McCurdy may publish in the future.

Co-authorship network of co-authors of Martha L. McCurdy

This figure shows the co-authorship network connecting the top 25 collaborators of Martha L. McCurdy. A scholar is included among the top collaborators of Martha L. McCurdy 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 Martha L. McCurdy. Martha L. McCurdy 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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