Robert J. Sclabassi

6.4k citations
278 papers · 4.7k · h-index 37

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
  • Neurology top 1%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Intracranial Aneurysms: Treatment and Complications

Papers in

Robert J. Sclabassi

266 papers receiving 4.4k citations

Peers

Robert J. Sclabassi
Comparison fields: 5 of 184
  • Cognitive Neuroscience 1.2k
  • Neurology 829
  • Cellular and Molecular Neuroscience 720
  • Signal Processing 280
  • Endocrine and Autonomic Systems 158
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Citations per year

Countries citing papers authored by Robert J. Sclabassi

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Sclabassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Sclabassi. 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 Robert J. Sclabassi. The network helps show where Robert J. Sclabassi may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert J. Sclabassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert J. Sclabassi Line = papers co-authored together Robert J. Sclabassi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 278 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986231
2
Saccular aneurysm formation in curved and bifurcating arteries.
1999162
3 1986133
4 2009125
5 1987114
6 200995
7 201484
8 199382
9 198681
10 201080
11 199874
12 200672
13 200171
14 199469
15 198664
16
Evoked Potentials in Intraoperative Monitoring
198763
17 198861
18 200660
19 199855
20 199454

About Robert J. Sclabassi

Robert J. Sclabassi is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 278 papers that have together received 4.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (57 papers), Blind Source Separation Techniques (42 papers), Neural dynamics and brain function (35 papers), Neural Networks and Applications (33 papers), Image and Signal Denoising Methods (31 papers), Neuroscience and Neural Engineering (21 papers), Wireless Body Area Networks (16 papers) and Neonatal and fetal brain pathology (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Neurology (829 citations), Cellular and Molecular Neuroscience (720 citations), Signal Processing (280 citations) and Endocrine and Autonomic Systems (158 citations). Robert J. Sclabassi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mingui Sun, Dachling Pang, Joseph A. Horton, Don Krieger, Howard Yonas, Mark S. Scher, Steven A. Hackworth, Mingui Sun, Wenyan Jia and Theodore W. Berger. Their work appears in journals such as Neurosurgery, Electroencephalography and Clinical Neurophysiology, Pediatric Neurology, IEEE Transactions on Biomedical Engineering and Annals of Biomedical Engineering.

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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