Sam Musallam

2.6k citations
32 papers · 1.9k indexed · h-index 17
Topics
Neuroscience and Neural Engineering (25 papers)EEG and Brain-Computer Interfaces (24 papers)Advanced Memory and Neural Computing (13 papers)
Partner nations
United StatesCanada

In The Last Decade

Sam Musallam

32 papers receiving 1.9k citations

Peers

Sam Musallam
Comparison fields: 5 of 92
  • Cognitive Neuroscience 1.5k
  • Cellular and Molecular Neuroscience 1.2k
  • Electrical and Electronic Engineering 447
  • Biomedical Engineering 437
  • Neurology 118
Replace Bradley Greger with:
Bradley Greger United States
Caleb Kemere United States
Dragan F. Dimitrov United States
Alberto Mazzoni Italy
Philip R. Kennedy United States
Steven M. Chase United States
Blaise Yvert France
Claude Veraart Belgium
Carlos E. Vargas-Irwin United States
Tyler S. Davis United States
Sam Musallam relative to Bradley Greger United States Bradley Greger's profile →
Citations per field
00.5×1.5×
Bradley Greger · 1×
Citations per year

Countries citing papers authored by Sam Musallam

Since Specialization
Citations

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

Fields of papers citing papers by Sam Musallam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Musallam

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Musallam. A scholar is included among the top collaborators of Sam Musallam 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 Sam Musallam. Sam Musallam 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 2
2 1
3 2
4
TMS coil design: Wire and winding considerations
2
5 54
6 6
7 186
8 52
9 1
10 100
11 10
12 40
13 18
14 237
15 104
16 499
17 31
18 18
19 3
20 93

About Sam Musallam

Sam Musallam is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (25 papers), EEG and Brain-Computer Interfaces (24 papers) and Advanced Memory and Neural Computing (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Cellular and Molecular Neuroscience (1.2k citations) and Neurology (117 citations). Sam Musallam has collaborated with scholars based in United States and Canada. Frequent co-authors include Richard A. Andersen, Bijan Pesaran, Grant H. Mulliken, Brian D. Corneil, Hansjörg Scherberger, Bradley Greger, Vamsy P. Chodavarapu, Joel W. Burdick, Jorge Cham and R. D. Tomlinson. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

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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