Silke Musa

29 total papers · 3.4k total citations
18 papers, 774 citations indexed

About

Silke Musa is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Silke Musa has authored 18 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 13 papers in Cognitive Neuroscience and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Silke Musa's work include Neuroscience and Neural Engineering (17 papers), Neural dynamics and brain function (10 papers) and Advanced Memory and Neural Computing (10 papers). Silke Musa is often cited by papers focused on Neuroscience and Neural Engineering (17 papers), Neural dynamics and brain function (10 papers) and Advanced Memory and Neural Computing (10 papers). Silke Musa collaborates with scholars based in Belgium, Germany and Hungary. Silke Musa's co-authors include Alexandru Andrei, Bogdan Raducanu, Carolina Mora López, Chris Van Hoof, Jan Putzeys, Gustaaf Borghs, Srinjoy Mitra, Marco Ballini, Refet Fırat Yazıcıoğlu and Nick Van Helleputte and has published in prestigious journals such as ACS Nano, Analytical Chemistry and Journal of Neurophysiology.

In The Last Decade

Silke Musa

18 papers receiving 763 citations

Author Peers

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

Author Last Decade Papers Cites
Silke Musa 587 407 401 200 116 18 774
Amelia A. Schendel 522 0.9× 278 0.7× 279 0.7× 254 1.3× 107 0.9× 8 704
Maria Vomero 465 0.8× 267 0.7× 157 0.4× 227 1.1× 223 1.9× 29 627
Juan Aceros 476 0.8× 476 1.2× 337 0.8× 369 1.8× 64 0.6× 25 877
Emma Maggiolini 566 1.0× 257 0.6× 306 0.8× 209 1.0× 271 2.3× 29 718
Farid Atry 559 1.0× 319 0.8× 217 0.5× 351 1.8× 148 1.3× 18 872
David Zhou 525 0.9× 284 0.7× 178 0.4× 250 1.3× 325 2.8× 12 683
S. Lin 512 0.9× 342 0.8× 277 0.7× 190 0.9× 104 0.9× 11 703
Iwan Schenker 354 0.6× 218 0.5× 161 0.4× 248 1.2× 101 0.9× 9 634
Marc Olivier Heuschkel 573 1.0× 230 0.6× 257 0.6× 327 1.6× 93 0.8× 19 830
Zhanhong Du 715 1.2× 304 0.7× 300 0.7× 286 1.4× 318 2.7× 26 862

Countries citing papers authored by Silke Musa

Since Specialization
Citations

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

Fields of papers citing papers by Silke Musa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silke Musa

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