Lynn M. McCane

1.9k total citations · 1 hit paper
13 papers, 1.4k citations indexed

About

Lynn M. McCane is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Lynn M. McCane has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Biomedical Engineering. Recurrent topics in Lynn M. McCane's work include EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (8 papers) and Muscle activation and electromyography studies (6 papers). Lynn M. McCane is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (8 papers) and Muscle activation and electromyography studies (6 papers). Lynn M. McCane collaborates with scholars based in United States, United Kingdom and Hong Kong. Lynn M. McCane's co-authors include Jonathan R. Wolpaw, Dennis J. McFarland, Stephen V. David, Theresa M. Vaughan, Joseph N. Mak, Eric W. Sellers, Debra Zeitlin, Susan M. Heckman, Yael Arbel and Luigi Bianchi and has published in prestigious journals such as Neurology, The Journal of Physiology and Electroencephalography and Clinical Neurophysiology.

In The Last Decade

Lynn M. McCane

13 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spatial filter selection for EEG-based communication

1997 693 citations Dennis J. McFarland, Lynn M. McCane et al. Electroencephalography and Clinical Neurophysiology profile →

Peers

Lynn M. McCane

CN

CMN

HI

EEE

BE

Gunther Krausz Austria

Rupert Ortner Austria

Adrian Furdea Germany

Günter Edlinger Austria

William A. Sarnacki United States

Minkyu Ahn South Korea

George Townsend Canada

Bryan Baxter United States

Josef Faller United States

B. Graimann Austria

Gunther Krausz Austria

Lynn M. McCane

1.7k ×1.3

CN

908 ×1.2

CMN

321 ×1.2

HI

271 ×1.2

EEE

224 ×1.2

BE

Citations per year, relative to Lynn M. McCane Lynn M. McCane (= 1×) peers Gunther Krausz

Countries citing papers authored by Lynn M. McCane

Since Specialization

Citations

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

Fields of papers citing papers by Lynn M. McCane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lynn M. McCane

This figure shows the co-authorship network connecting the top 25 collaborators of Lynn M. McCane. A scholar is included among the top collaborators of Lynn M. McCane 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 Lynn M. McCane. Lynn M. McCane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Cavarsan, Clarissa F., et al.. (2022). Inhibitory interneurons show early dysfunction in a SOD1 mouse model of amyotrophic lateral sclerosis. The Journal of Physiology. 601(3). 647–667. 14 indexed citations

2.

Vaughan, Theresa M., Lynn M. McCane, Debra Zeitlin, et al.. (2019). Neural Alterations During Use of a P300-based BCI by Individuals with Amyotrophic Lateral Sclerosis. Journal of Media Literacy Education. 899–902. 3 indexed citations

3.

Shahriari, Yalda, Theresa M. Vaughan, Lynn M. McCane, et al.. (2019). An exploration of BCI performance variations in people with amyotrophic lateral sclerosis using longitudinal EEG data. Journal of Neural Engineering. 16(5). 56031–56031. 29 indexed citations

4.

Thompson, Aiko K., Rachel Haywood, N. Jeremy Hill, et al.. (2018). Effects of Sensorimotor Rhythm Modulation on the Human Flexor Carpi Radialis H-Reflex. Frontiers in Neuroscience. 12. 505–505. 3 indexed citations

5.

Wolpaw, Jonathan R., Richard Bedlack, Domenic J. Reda, et al.. (2018). Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis. Neurology. 91(3). e258–e267. 103 indexed citations

6.

McCane, Lynn M., Susan M. Heckman, Dennis J. McFarland, et al.. (2015). P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls. Clinical Neurophysiology. 126(11). 2124–2131. 100 indexed citations

7.

Shahriari, Yalda, Eric W. Sellers, Lynn M. McCane, Theresa M. Vaughan, & Dean J. Krusienski. (2015). Directional brain functional interaction analysis in patients with amyotrophic lateral sclerosis. Digital Commons - East Tennessee State University (East Tennessee State University). 972–975. 4 indexed citations

8.

McCane, Lynn M., Eric W. Sellers, Dennis J. McFarland, et al.. (2014). Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 15(3-4). 207–215. 89 indexed citations

9.

Hill, N. Jeremy, Sameah Haider, Lynn M. McCane, et al.. (2014). A practical, intuitive brain–computer interface for communicating ‘yes’ or ‘no’ by listening. Journal of Neural Engineering. 11(3). 35003–35003. 53 indexed citations

10.

Mak, Joseph N., Dennis J. McFarland, Theresa M. Vaughan, et al.. (2012). EEG correlates of P300-based brain–computer interface (BCI) performance in people with amyotrophic lateral sclerosis. Journal of Neural Engineering. 9(2). 26014–26014. 79 indexed citations

11.

Mak, Joseph N., Yael Arbel, James W. Minett, et al.. (2011). Optimizing the P300-based brain–computer interface: current status, limitations and future directions. Journal of Neural Engineering. 8(2). 25003–25003. 146 indexed citations

12.

McFarland, Dennis J., Lynn M. McCane, & Jonathan R. Wolpaw. (1998). EEG-based communication and control: short-term role of feedback. IEEE Transactions on Rehabilitation Engineering. 6(1). 7–11. 85 indexed citations

13.

McFarland, Dennis J., Lynn M. McCane, Stephen V. David, & Jonathan R. Wolpaw. (1997). Spatial filter selection for EEG-based communication. Electroencephalography and Clinical Neurophysiology. 103(3). 386–394. 693 indexed citations breakdown →

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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