Elisa Capecci

499 total citations
10 papers, 280 citations indexed

About

Elisa Capecci is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Elisa Capecci has authored 10 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Electrical and Electronic Engineering and 2 papers in Molecular Biology. Recurrent topics in Elisa Capecci's work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (8 papers) and EEG and Brain-Computer Interfaces (5 papers). Elisa Capecci is often cited by papers focused on Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (8 papers) and EEG and Brain-Computer Interfaces (5 papers). Elisa Capecci collaborates with scholars based in New Zealand, Mexico and Italy. Elisa Capecci's co-authors include Nikola Kasabov, Grace Wang, Maryam Doborjeh, Enmei Tu, Zeng‐Guang Hou, Denise Taylor, Valery L. Feigin, Stefan Marks, Reggio N. Hartono and Lei Zhou and has published in prestigious journals such as Information Sciences, Neural Networks and IEEE Transactions on Cognitive and Developmental Systems.

In The Last Decade

Elisa Capecci

10 papers receiving 279 citations

Peers

Countries citing papers authored by Elisa Capecci

Since Specialization

Citations

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

Fields of papers citing papers by Elisa Capecci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Capecci

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks 2019 ·Evolving Systems ·Elisa Capecci, Jesús L. Lobo, Ibai Laña, (unknown), Nikola Kasabov	1
2	Analysis of Gene Expression Time Series Data of Ebola Vaccine response using the NeuCube and Temporal Feature Selection 2018 ·(unknown), Elisa Capecci, Nikola Kasabov	1
3	A Computational Model of Neuroreceptor-Dependent Plasticity (NRDP) Based on Spiking Neural Networks 2017 ·IEEE Transactions on Cognitive and Developmental Systems ·(unknown), Elisa Capecci, Nikola Kasabov	6
4	Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model 2016 ·Elisa Capecci, Zohreh Doborjeh, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito, Nikola Kasabov	19
5	Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment 2015 ·Neural Networks ·Elisa Capecci, Nikola Kasabov, Grace Wang	30
6	Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications 2015 ·Neural Networks ·Nikola Kasabov, (unknown), Enmei Tu, Stefan Marks, (unknown), Elisa Capecci, Muhaini Othman, Maryam Doborjeh, (unknown), Reggio N. Hartono, (unknown), Lei Zhou, (unknown), Grace Wang, Denise Taylor, Valery L. Feigin, Sergei Gulyaev, Mahmoud Mahmoud, Zeng‐Guang Hou, Jie Yang	107
7	Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture 2015 ·Elisa Capecci, (unknown), Nadia Mammone, Nikola Kasabov, Jonas Duun‐Henriksen, Troels W. Kjær, Maurizio Campolo, Fabio La Foresta, Francesco Carlo Morabito	2
8	Spiking neural network methodology for modelling, classification and understanding of EEG spatio-temporal data measuring cognitive processes 2014 ·Information Sciences ·Nikola Kasabov, Elisa Capecci	87
9	Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications 2014 ·Denise Taylor, (unknown), Nikola Kasabov, Elisa Capecci, Enmei Tu, Nicola Saywell, (unknown), (unknown), Zeng‐Guang Hou	11
10	Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model 2014 ·Tuwhera (Auckland University of Technology) ·Maryam Doborjeh, Elisa Capecci, Nikola Kasabov	16

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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