Francesco V. Tenore

38 papers and 1.3k indexed citations i.

About

Francesco V. Tenore is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Francesco V. Tenore has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cellular and Molecular Neuroscience, 32 papers in Cognitive Neuroscience and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Francesco V. Tenore’s work include Neuroscience and Neural Engineering (36 papers), EEG and Brain-Computer Interfaces (28 papers) and Advanced Memory and Neural Computing (14 papers). Francesco V. Tenore is often cited by papers focused on Neuroscience and Neural Engineering (36 papers), EEG and Brain-Computer Interfaces (28 papers) and Advanced Memory and Neural Computing (14 papers). Francesco V. Tenore collaborates with scholars based in United States, The Netherlands and Germany. Francesco V. Tenore's co-authors include Nitish V. Thakor, Sliman J. Bensmaı̈a, Soumyadipta Acharya, Ralph Etienne-Cummings, Gregg A. Tabot, R. Jacob Vogelstein, Ander Ramos, John F. Dammann, Ralph Etienne‐Cummings and Robert A. Gaunt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Francesco V. Tenore i

Fields of papers citing papers by Francesco V. Tenore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco V. Tenore. 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 Francesco V. Tenore. The network helps show where Francesco V. Tenore may publish in the future.

Countries citing papers authored by Francesco V. Tenore

Since Specialization
Citations

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

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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