Robert J. Sclabassi

6.4k total citations
278 papers, 4.7k citations indexed

About

Robert J. Sclabassi is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Robert J. Sclabassi has authored 278 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Cognitive Neuroscience, 63 papers in Biomedical Engineering and 58 papers in Computer Vision and Pattern Recognition. Recurrent topics in Robert J. Sclabassi's work include EEG and Brain-Computer Interfaces (57 papers), Blind Source Separation Techniques (42 papers) and Neural dynamics and brain function (35 papers). Robert J. Sclabassi is often cited by papers focused on EEG and Brain-Computer Interfaces (57 papers), Blind Source Separation Techniques (42 papers) and Neural dynamics and brain function (35 papers). Robert J. Sclabassi collaborates with scholars based in United States, China and United Kingdom. Robert J. Sclabassi's 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 Doris A. Steppe and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Stroke.

In The Last Decade

Robert J. Sclabassi

266 papers receiving 4.4k citations

Peers

Robert J. Sclabassi
Comparison fields: 5 of 184
  • Cognitive Neuroscience 1.2k
  • Neurology 829
  • Biomedical Engineering 767
  • Cellular and Molecular Neuroscience 720
  • Surgery 707
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Citations per field, relative to Robert J. Sclabassi
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Citations per year, relative to Robert J. Sclabassi
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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-authorship network of co-authors of Robert J. Sclabassi

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Sclabassi. A scholar is included among the top collaborators of Robert J. Sclabassi 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 Robert J. Sclabassi. Robert J. Sclabassi 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
# Work Indexed citations
1 1
2
Adaptive level-crossing sampling and reconstruction
15
3 5
4 9
5 1
6 14
7 5
8 6
9 6
10 13
11 4
12 8
13 5
14 16
15 4
16 7
17
Modulation of perforant path dentate functional properties by commissural system acute effects of contralateral hippocampal ablation
1
18 23
19 8
20 8

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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