Spiros H. Courellis

419 citations
23 papers · 286 indexed · h-index 10

Spiros H. Courellis

22 papers receiving 279 citations

Peers

Spiros H. Courellis
Comparison fields: 5 of 47
  • Cognitive Neuroscience 224
  • Cellular and Molecular Neuroscience 198
  • Statistical and Nonlinear Physics 20
  • Electrical and Electronic Engineering 74
  • Signal Processing 7
Replace Marta Bisio with:
Marta Bisio Italy
Ryan C. Kelly United States
Fleur Zeldenrust Netherlands
James M. Rebesco United States
Michael E. Rule United Kingdom
Christophe Gardella France
Arjun K. Bansal United States
G. Sean Escola United States
Martin A. Spacek Germany
Mehdi Aghagolzadeh United States
Spiros H. Courellis relative to Marta Bisio Italy Marta Bisio's profile →
Citations per field
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Citations per year

Countries citing papers authored by Spiros H. Courellis

Since Specialization
Citations

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

Fields of papers citing papers by Spiros H. Courellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Spiros H. Courellis. 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 Spiros H. Courellis. The network helps show where Spiros H. Courellis may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Spiros H. Courellis, 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 Spiros H. Courellis Line = papers co-authored together Spiros H. Courellis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Protein domain boundary prediction from residue sequence alone using Bayesian neural networks
20091
2 20090
3 200811
4 20082
5 200846
6 20072
7 20077
8 20063
9 20066
10 200612
11 20061
12 200612
13 20061
14 200596
15 20054
16 200410
17 20042
18 200312
19 200219
20 200123

About Spiros H. Courellis

Spiros H. Courellis is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrochemistry, having authored 23 papers that have together received 286 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Neuroscience and Neural Engineering (11 papers), Neuroscience and Neuropharmacology Research (10 papers), EEG and Brain-Computer Interfaces (5 papers), Advanced Memory and Neural Computing (4 papers), Memory and Neural Mechanisms (4 papers), Photoreceptor and optogenetics research (3 papers) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (224 citations), Cellular and Molecular Neuroscience (198 citations) and Statistical and Nonlinear Physics (20 citations). Spiros H. Courellis has collaborated with scholars based in United States and Canada. Frequent co-authors include Vasilis Z. Marmarelis, Theodore W. Berger, Ghassan Gholmieh, Sam A. Deadwyler, Robert E. Hampson, Theodoros P. Zanos, Jack Wills, Armand R. Tanguay, Vijay Srinivasan and Dong Song. Their work appears in journals such as Annals of Biomedical Engineering, Biosensors and Bioelectronics, IEEE Transactions on Biomedical Engineering, Biological Cybernetics and IEEE Transactions on Neural Systems and Rehabilitation 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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