Franca Tecchio

7.8k total citations
187 papers, 5.8k citations indexed

About

Franca Tecchio is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Franca Tecchio has authored 187 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Cognitive Neuroscience, 63 papers in Neurology and 47 papers in Cellular and Molecular Neuroscience. Recurrent topics in Franca Tecchio's work include EEG and Brain-Computer Interfaces (87 papers), Transcranial Magnetic Stimulation Studies (60 papers) and Functional Brain Connectivity Studies (57 papers). Franca Tecchio is often cited by papers focused on EEG and Brain-Computer Interfaces (87 papers), Transcranial Magnetic Stimulation Studies (60 papers) and Functional Brain Connectivity Studies (57 papers). Franca Tecchio collaborates with scholars based in Italy, United Kingdom and Belgium. Franca Tecchio's co-authors include Paolo Maria Rossini, Filippo Zappasodi, Vittorio Pizzella, Camillo Porcaro, Patrizio Pasqualetti, Gian Luca Romani, Carlo Cottone, Andrea Cancelli, Giovanni Assenza and Giulia Barbati and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Franca Tecchio

180 papers receiving 5.7k citations

Peers

Franca Tecchio

NEURO

CMN

RNMI

Guy Chéron Belgium

Emiliano Santarnecchi United States

Marc A. Maier France

Jari Karhu Finland

Burkhard Pleger Germany

Richard Staines Canada

Filippo Zappasodi Italy

Charles M. Epstein United States

Annette Sterr United Kingdom

Florinda Ferreri Italy

Guy Chéron Belgium

Franca Tecchio

2.6k ×0.7

1.2k ×0.7

NEURO

1.3k ×1.4

CMN

1.3k ×1.6

278 ×0.5

RNMI

Citations per year, relative to Franca Tecchio Franca Tecchio (= 1×) peers Guy Chéron

Countries citing papers authored by Franca Tecchio

Since Specialization

Citations

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

Fields of papers citing papers by Franca Tecchio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franca Tecchio

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

All Works

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20 of 20 papers shown

Conti, L., et al.. (2025). Linear and Non-Linear Methods to Discriminate Cortical Parcels Based on Neurodynamics: Insights from sEEG Recordings. Fractal and Fractional. 9(5). 278–278.

Tecchio, Franca, Massimo Bertoli, Elvira Sbragia, et al.. (2025). Fatigue relief in multiple sclerosis by personalized neuromodulation: A multicenter pilot study [FaremusGE]. Multiple Sclerosis and Related Disorders. 94. 106276–106276. 1 indexed citations

Conti, L., et al.. (2024). Insights on neural signal analysis with Higuchi fractal dimension. 15(2). 17–27. 1 indexed citations

Pellegrino, Giovanni, Anna‐Lisa Schuler, Daniele Marinazzo, et al.. (2024). Assessing cortical excitability with electroencephalography: A pilot study with EEG-iTBS. Brain stimulation. 17(2). 176–183. 16 indexed citations

Bertoli, Massimo, Patrizio Pasqualetti, L. Conti, et al.. (2023). Effects on Corticospinal Tract Homology of Faremus Personalized Neuromodulation Relieving Fatigue in Multiple Sclerosis: A Proof-of-Concept Study. Brain Sciences. 13(4). 574–574. 5 indexed citations

D’Onofrio, Valentina, Franca Tecchio, Francesco Ferracuti, et al.. (2023). Fractal Dimension as a discriminative feature for high accuracy classification in motor imagery EEG-based brain-computer interface. Computer Methods and Programs in Biomedicine. 244. 107944–107944. 20 indexed citations

Pagani, Marco, Massimo Bertoli, Alfredo Brancucci, et al.. (2023). Auditory Personalization of EMDR Treatment to Relieve Trauma Effects: A Feasibility Study [EMDR+]. Brain Sciences. 13(7). 1050–1050. 3 indexed citations

Cecconi, Federico, Patrizio Pasqualetti, Massimo Bertoli, et al.. (2023). On the Homology of the Dominant and Non-Dominant Corticospinal Tracts: A Novel Neurophysiological Assessment. Brain Sciences. 13(2). 278–278. 4 indexed citations

Olejarczyk, Elżbieta, Filippo Zappasodi, Lorenzo Ricci, et al.. (2022). Functional Source Separation-Identified Epileptic Network: Analysis Pipeline. Brain Sciences. 12(9). 1179–1179. 3 indexed citations

10.

Bertoli, Massimo, et al.. (2021). Neuronal Electrical Ongoing Activity as Cortical Areas Signature: An Insight from MNI Intracerebral Recording Atlas. Cerebral Cortex. 32(13). 2895–2906. 10 indexed citations

11.

Brancucci, Alfredo, Anita D’Anselmo, Valerio Manippa, et al.. (2020). A computationally efficient method for the attenuation of alternating current stimulation artifacts in electroencephalographic recordings. Journal of Neural Engineering. 17(4). 46038–46038. 6 indexed citations

12.

Rossini, Paolo Maria, Riccardo Di Iorio, Fabrizio Vecchio, et al.. (2020). Early diagnosis of Alzheimer’s disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts. Clinical Neurophysiology. 131(6). 1287–1310. 143 indexed citations

13.

Porcaro, Camillo, Carlo Cottone, Andrea Cancelli, et al.. (2019). Cortical neurodynamics changes mediate the efficacy of a personalized neuromodulation against multiple sclerosis fatigue. Scientific Reports. 9(1). 18213–18213. 44 indexed citations

14.

Zappasodi, Filippo, Patrizio Pasqualetti, Paolo Maria Rossini, & Franca Tecchio. (2019). Acute Phase Neuronal Activity for the Prognosis of Stroke Recovery. Neural Plasticity. 2019. 1–10. 14 indexed citations

15.

Marino, Marco, Quanying Liu, Jessica Samogin, et al.. (2018). Neuronal dynamics enable the functional differentiation of resting state networks in the human brain. Human Brain Mapping. 40(5). 1445–1457. 45 indexed citations

16.

Salustri, Carlo, Franca Tecchio, Filippo Zappasodi, et al.. (2013). Sensorimotor Cortex Reorganization in Alzheimer's Disease and Metal Dysfunction: A MEG Study. International Journal of Alzheimer s Disease. 2013. 1–8. 9 indexed citations

17.

Graziadio, Sara, Anna Basu, Leo Tomasevic, et al.. (2010). Developmental Tuning and Decay in Senescence of Oscillations Linking the Corticospinal System. Journal of Neuroscience. 30(10). 3663–3674. 65 indexed citations

18.

Tecchio, Franca, Giancarlo Zito, Filippo Zappasodi, et al.. (2008). Intra-cortical connectivity in multiple sclerosis: a neurophysiological approach. Brain. 131(7). 1783–1792. 34 indexed citations

19.

Porcaro, Camillo, Giulia Barbati, Filippo Zappasodi, Paolo Maria Rossini, & Franca Tecchio. (2007). Hand sensory–motor cortical network assessed by functional source separation. Human Brain Mapping. 29(1). 70–81. 31 indexed citations

20.

Tecchio, Franca, Filippo Zappasodi, Patrizio Pasqualetti, & Paolo Maria Rossini. (2004). Neural connectivity in hand sensorimotor brain areas: An evaluation by evoked field morphology. Human Brain Mapping. 24(2). 99–108. 22 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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