Roberto Togneri

4.9k citations
176 papers · 3.2k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Roberto Togneri

164 papers receiving 3.1k citations

Hit Papers

Linear Regression for Face Recognition 2010 · 761 citations
7612010202620152020250500750

Peers

Roberto Togneri
Comparison fields: 5 of 133
  • Signal Processing 1.3k
  • Computer Vision and Pattern Recognition 1.5k
  • Media Technology 322
  • Artificial Intelligence 1.1k
  • Computational Mechanics 536
Replace Bo Chen with:
Bo Chen China
Matthew D. Zeiler United States
H. Bourlard Switzerland
Mathew Magimai.-Doss Switzerland
Kihyuk Sohn United States
W. Bastiaan Kleijn Sweden
Jonathan Masci Switzerland
Susanto Rahardja Singapore
Abdesselam Bouzerdoum Australia
Mads Græsbøll Christensen Denmark
Roberto Togneri relative to Bo Chen China Bo Chen's profile →
Citations per field
00.5×4.4×
Bo Chen · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Roberto Togneri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Togneri Line = papers co-authored together Roberto Togneri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20211
3 202119
4 20205
5
GANgster: A Fraud Review Detector based on Regulated GAN with Data Augmentation.
20203
6 20193
7 201812
8 20162
9 20158
10 201582
11 20145
12 20136
13 20121
14 20112
15
Linear Regression for Face Recognition
Hit paper breakdown →
2010761
16 200813
17 200820
18 20058
19 200212
20 19917

About Roberto Togneri

Roberto Togneri is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics and Statistical and Nonlinear Physics, having authored 176 papers that have together received 3.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (97 papers), Music and Audio Processing (51 papers), Speech Recognition and Synthesis (46 papers), Blind Source Separation Techniques (32 papers), Advanced Adaptive Filtering Techniques (26 papers), Model Reduction and Neural Networks (10 papers), Face and Expression Recognition (8 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Vision and Pattern Recognition (1.5k citations), Media Technology (322 citations), Artificial Intelligence (1.1k citations) and Computational Mechanics (536 citations). Roberto Togneri has collaborated with scholars based in Australia, Pakistan and United States. Frequent co-authors include Mohammed Bennamoun, Imran Naseem, Ferdous Sohel, Sven Nordholm, Salman Khan, Xianjun Xia, Defeng Huang, A.H. Davis, Victor Sreeram and Yuanjun Zhao. Their work appears in journals such as Speech Communication, Pattern Recognition Letters, IEEE Transactions on Multimedia, IEEE Transactions on Audio Speech and Language Processing and Pattern Recognition.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026