Roberto Togneri

128 papers and 3.0k indexed citations i.

About

Roberto Togneri is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Roberto Togneri has authored 128 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Signal Processing, 54 papers in Artificial Intelligence and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Roberto Togneri’s work include Speech and Audio Processing (62 papers), Speech Recognition and Synthesis (33 papers) and Music and Audio Processing (32 papers). Roberto Togneri is often cited by papers focused on Speech and Audio Processing (62 papers), Speech Recognition and Synthesis (33 papers) and Music and Audio Processing (32 papers). Roberto Togneri collaborates with scholars based in Australia, Pakistan and United States. Roberto Togneri's co-authors include Mohammed Bennamoun, Imran Naseem, Ferdous Sohel, Salman Khan, Munawar Hayat, Sven Nordholm, Xianjun Xia, Defeng Huang, A.H. Davis and Shujaat Khan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Roberto Togneri i

Fields of papers citing papers by Roberto Togneri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roberto Togneri

Since Specialization
Citations

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