Madeleine M. Lowery

5.5k citations
150 papers · 3.5k indexed · 1 hit paper · h-index 32
Topics
Neuroscience and Neural Engineering (75 papers)Muscle activation and electromyography studies (73 papers)Neurological disorders and treatments (44 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeurology

In The Last Decade

Madeleine M. Lowery

142 papers receiving 3.4k citations

Hit Papers

Simple and customizable method for fabrication of high-as...2019202620212023201950100150200

Peers

Madeleine M. Lowery
Comparison fields: 5 of 141
  • Biomedical Engineering 2.1k
  • Cognitive Neuroscience 1.3k
  • Cellular and Molecular Neuroscience 1.2k
  • Neurology 623
  • Orthopedics and Sports Medicine 383
Replace Nancy N. Byl with:
Nancy N. Byl United States
Erik Stålberg Sweden
Anders Fuglsang‐Frederiksen Denmark
Dick F. Stegeman Netherlands
Josep Valls‐Solé Spain
Chou‐Ching K. Lin Taiwan
Philippe Lefèvre Belgium
Stanley J. Bolanowski United States
P.H. Chappell United Kingdom
Jean‐Louis Thonnard Belgium
Madeleine M. Lowery relative to Nancy N. Byl United States Nancy N. Byl's profile →
Citations per field
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Nancy N. Byl · 1×
Citations per year

Countries citing papers authored by Madeleine M. Lowery

Since Specialization
Citations

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

Fields of papers citing papers by Madeleine M. Lowery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madeleine M. Lowery

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 1
4 1
5 12
6 2
7 6
8 1
9 16
10 8
11 2
12 16
13 12
14 8
15 24
16 17
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18 19
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About Madeleine M. Lowery

Madeleine M. Lowery is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 150 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (75 papers), Muscle activation and electromyography studies (73 papers) and Neurological disorders and treatments (44 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Cellular and Molecular Neuroscience (1.2k citations) and Biomedical Engineering (2.1k citations). Madeleine M. Lowery has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Todd Kuiken, N.S. Stoykov, Mark O’Malley, Emer P. Doheny, Giuseppe De Vito, Lara McManus, Lance Myers, Allen Taflove, Eoin D. O’Cearbhaill and Christopher L. Vaughan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

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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