Isabella Palamara

590 total citations
8 papers, 400 citations indexed

About

Isabella Palamara is a scholar working on Cognitive Neuroscience, Molecular Biology and Signal Processing. According to data from OpenAlex, Isabella Palamara has authored 8 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 2 papers in Molecular Biology and 2 papers in Signal Processing. Recurrent topics in Isabella Palamara's work include EEG and Brain-Computer Interfaces (4 papers), Water Quality Monitoring Technologies (2 papers) and Fractal and DNA sequence analysis (2 papers). Isabella Palamara is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Water Quality Monitoring Technologies (2 papers) and Fractal and DNA sequence analysis (2 papers). Isabella Palamara collaborates with scholars based in Italy, Netherlands and United States. Isabella Palamara's co-authors include Francesco Carlo Morabito, Domenico Labate, Giuseppe Morabito, Fabio La Foresta, Alessia Bramanti, A. Lay-Ekuakille, Diego Caratelli, Harold Szu, Nadia Mammone and Mario Versaci and has published in prestigious journals such as Review of Scientific Instruments, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Isabella Palamara

8 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Isabella Palamara Italy 8 215 72 69 62 60 8 400
Domenico Labate Italy 9 369 1.7× 79 1.1× 126 1.8× 73 1.2× 174 2.9× 11 673
О. Н. Павлова Russia 12 117 0.5× 145 2.0× 31 0.4× 31 0.5× 37 0.6× 65 361
Shiou-Gwo Lin Taiwan 5 118 0.5× 148 2.1× 65 0.9× 44 0.7× 114 1.9× 10 574
Alessandro Montalto Italy 7 164 0.8× 53 0.7× 21 0.3× 18 0.3× 118 2.0× 13 329
Chunhua Bian China 12 126 0.6× 189 2.6× 65 0.9× 81 1.3× 171 2.9× 27 452
Sawon Pratiher India 11 99 0.5× 23 0.3× 48 0.7× 27 0.4× 91 1.5× 45 355
J.C. Echeverría Mexico 11 65 0.3× 108 1.5× 53 0.8× 19 0.3× 223 3.7× 34 454
Ahmet Mert Türkiye 10 341 1.6× 25 0.3× 112 1.6× 44 0.7× 149 2.5× 28 660
Frédéric Bouchara France 11 85 0.4× 60 0.8× 41 0.6× 7 0.1× 62 1.0× 31 509
Edilson Delgado‐Trejos Colombia 12 91 0.4× 23 0.3× 81 1.2× 17 0.3× 106 1.8× 54 485

Countries citing papers authored by Isabella Palamara

Since Specialization
Citations

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

Fields of papers citing papers by Isabella Palamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabella Palamara

This figure shows the co-authorship network connecting the top 25 collaborators of Isabella Palamara. A scholar is included among the top collaborators of Isabella Palamara 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 Isabella Palamara. Isabella Palamara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Morabito, Francesco Carlo, Domenico Labate, Giuseppe Morabito, Isabella Palamara, & Harold Szu. (2013). Monitoring and diagnosis of Alzheimer's disease using noninvasive compressive sensing EEG. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8750. 87500Y–87500Y. 7 indexed citations
2.
Palamara, Isabella, et al.. (2013). Fuzzy similarity measures for detection and classification of defects in CFRP. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 60(9). 1917–1927. 8 indexed citations
3.
Labate, Domenico, Fabio La Foresta, Giuseppe Morabito, Isabella Palamara, & Francesco Carlo Morabito. (2013). Entropic Measures of EEG Complexity in Alzheimer's Disease Through a Multivariate Multiscale Approach. IEEE Sensors Journal. 13(9). 3284–3292. 81 indexed citations
4.
Morabito, Francesco Carlo, Domenico Labate, Alessia Bramanti, et al.. (2013). Enhanced Compressibility of EEG Signal in Alzheimer's Disease Patients. IEEE Sensors Journal. 13(9). 3255–3262. 43 indexed citations
5.
Lay-Ekuakille, A., Isabella Palamara, Diego Caratelli, & Francesco Carlo Morabito. (2013). Experimental infrared measurements for hydrocarbon pollutant determination in subterranean waters. Review of Scientific Instruments. 84(1). 15103–15103. 25 indexed citations
6.
Labate, Domenico, Isabella Palamara, Nadia Mammone, et al.. (2013). SVM classification of epileptic EEG recordings through multiscale permutation entropy. 15. 1–5. 10 indexed citations
7.
Morabito, Francesco Carlo, Domenico Labate, Fabio La Foresta, et al.. (2012). Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer’s Disease EEG. Entropy. 14(7). 1186–1202. 195 indexed citations
8.
Lay-Ekuakille, A., et al.. (2012). Optical Performance Evaluation of Oil Spill Detection Methods: Thickness and Extent. IEEE Transactions on Instrumentation and Measurement. 61(12). 3332–3339. 31 indexed citations

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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2026