Nada Signal

75 total papers · 1.2k total citations
57 papers, 778 citations indexed

About

Nada Signal is a scholar working on Rehabilitation, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Nada Signal has authored 57 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Rehabilitation, 20 papers in Cognitive Neuroscience and 15 papers in Biomedical Engineering. Recurrent topics in Nada Signal's work include Stroke Rehabilitation and Recovery (24 papers), EEG and Brain-Computer Interfaces (15 papers) and Muscle activation and electromyography studies (14 papers). Nada Signal is often cited by papers focused on Stroke Rehabilitation and Recovery (24 papers), EEG and Brain-Computer Interfaces (15 papers) and Muscle activation and electromyography studies (14 papers). Nada Signal collaborates with scholars based in New Zealand, Denmark and Australia. Nada Signal's co-authors include Denise Taylor, Imran Khan Niazi, Usman Rashid, Mads Jochumsen, Gwyn N. Lewis, Rasmus Bach Nedergaard, Felicity Bright, Heidi Haavik, Angela Gall and Nick Birch and has published in prestigious journals such as Scientific Reports, Neuroscience & Biobehavioral Reviews and IEEE Access.

In The Last Decade

Nada Signal

53 papers receiving 767 citations

Author Peers

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

Author Last Decade Papers Cites
Nada Signal 333 218 212 150 118 57 778
Mathew Yarossi 239 0.7× 275 1.3× 227 1.1× 163 1.1× 159 1.3× 55 707
David A. E. Bolton 399 1.2× 157 0.7× 193 0.9× 202 1.3× 127 1.1× 40 769
Ljubica Konstantinović 169 0.5× 238 1.1× 175 0.8× 78 0.5× 123 1.0× 64 801
Kunitsugu Kondo 187 0.6× 228 1.0× 156 0.7× 209 1.4× 114 1.0× 85 637
Ing‐Shiou Hwang 301 0.9× 119 0.5× 320 1.5× 105 0.7× 163 1.4× 71 803
Katie P. Wadden 283 0.8× 170 0.8× 130 0.6× 230 1.5× 136 1.2× 32 811
Ippei Nojima 383 1.2× 114 0.5× 181 0.9× 247 1.6× 49 0.4× 42 681
Sue Peters 171 0.5× 228 1.0× 149 0.7× 143 1.0× 119 1.0× 46 644
Zhongfei Bai 281 0.8× 292 1.3× 148 0.7× 257 1.7× 58 0.5× 39 630
Li‐Wei Chou 189 0.6× 141 0.6× 360 1.7× 105 0.7× 88 0.7× 42 662

Countries citing papers authored by Nada Signal

Since Specialization
Citations

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

Fields of papers citing papers by Nada Signal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nada Signal. 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 Nada Signal. The network helps show where Nada Signal may publish in the future.

Co-authorship network of co-authors of Nada Signal

This figure shows the co-authorship network connecting the top 25 collaborators of Nada Signal. A scholar is included among the top collaborators of Nada Signal 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 Nada Signal. Nada Signal 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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