Alessandra Teseï

1.6k citations
104 papers · 1.2k indexed · h-index 19

Alessandra Teseï

98 papers receiving 1.1k citations

Peers

Alessandra Teseï
Comparison fields: 5 of 75
  • Oceanography 577
  • Ocean Engineering 579
  • Signal Processing 111
  • Artificial Intelligence 287
  • Computer Vision and Pattern Recognition 177
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David P. Williams United States
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Kevin D. LePage United States
Yaan Li China
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Kunde Yang China
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Citations per year

Countries citing papers authored by Alessandra Teseï

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra Teseï

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Alessandra Teseï, 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 Alessandra Teseï Line = papers co-authored together Alessandra Teseï links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20241
4 20231
5 20235
6 202015
7 20195
8 201918
9
Observations of the sound producing organs in achelate lobster larvae
20181
10 20189
11
Measuring seabed altimetric variations with a repeat-track SAS interferometry experiment: processing and results
20102
12 200211
13 200214
14 20022
15 20021
16 20022
17 19991
18
Use of fourth-order statistics for non-Gaussian noise modelling: The generalized Gaussian pdf in terms of kurtosis
19965
19
Signal Detection In Non-Gaussian Noise By A Kurtosis-Based Probability Density Function Model
19956
20 199414

About Alessandra Teseï

Alessandra Teseï is a scholar working on Oceanography, Ocean Engineering and Signal Processing, having authored 104 papers that have together received 1.2k indexed citations. Recurring topics across this work include Underwater Acoustics Research (60 papers), Underwater Vehicles and Communication Systems (47 papers), Target Tracking and Data Fusion in Sensor Networks (28 papers), Geophysical Methods and Applications (18 papers), Maritime Navigation and Safety (15 papers), Speech and Audio Processing (10 papers), Blind Source Separation Techniques (10 papers) and Ultrasonics and Acoustic Wave Propagation (8 papers). The work is most often cited by research in Oceanography (577 citations), Ocean Engineering (579 citations) and Signal Processing (111 citations). Alessandra Teseï has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Carlo S. Regazzoni, Mario Zampolli, Gabriele Ferri, Kevin D. LePage, Pietro Stinco, Finn B. Jensen, Alain Maguer, Florian Meyer, Vittorio Murino and Andrea Munafò. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Electronics Letters.

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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