Gabriella Olmo

3.9k citations
179 papers · 2.6k indexed · h-index 24

Gabriella Olmo

164 papers receiving 2.5k citations

Peers

Gabriella Olmo
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 1.5k
  • Signal Processing 670
  • Physical Therapy, Sports Therapy and Rehabilitation 167
  • Media Technology 317
  • Computer Networks and Communications 428
Replace Saad Ali with:
Saad Ali United States
Takafumi Aoki Japan
Stefano Berretti Italy
Guillaume-Alexandre Bilodeau Canada
Paola Pierleoni Italy
Moacir Antonelli Ponti Brazil
Anders Eriksson Australia
Zhenyu He China
Chuang Lin China
Jiankang Wu China
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Citations per field
00.5×7.6×
Saad Ali · 1×
Citations per year

Countries citing papers authored by Gabriella Olmo

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Olmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202419
4 20249
5 20240
6 20244
7 202320
8 20237
9 20239
10 202113
11 202020
12
On distributed arithmetic codes and syndrome based turbo codes for Slepian-Wolf coding of non uniform sources
20092
13 200720
14 20048
15
Towards a unified approach for remote estimation of chlorophyll-a in both terrestrial vegetation and turbid productive waters
200341
16 200110
17
HeliNet: a network of UAV-HAVE stratospheric platforms. System concepts and applications to environmental surveillance
20005
18 20002
19
Use of time-frequency representation for time delay estimation of non stationary multicomponent signals
19960
20
Coded 16-PSK: Effects of Imperfect Carrier Recovery and Resolution of Phase Ambiguities
19879

About Gabriella Olmo

Gabriella Olmo is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Physical Therapy, Sports Therapy and Rehabilitation, having authored 179 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (65 papers), Video Coding and Compression Technologies (32 papers), Image and Signal Denoising Methods (32 papers), Parkinson's Disease Mechanisms and Treatments (24 papers), Error Correcting Code Techniques (18 papers), Digital Filter Design and Implementation (16 papers), Advanced Wireless Communication Techniques (15 papers) and Balance, Gait, and Falls Prevention (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Signal Processing (670 citations) and Physical Therapy, Sports Therapy and Rehabilitation (167 citations). Gabriella Olmo has collaborated with scholars based in Italy, China and United States. Frequent co-authors include Enrico Magli, Marco Grangetto, Tammam Tillo, Barbara Penna, Luigi Borzì, Emanuele Quacchio, Federica Amato, Luis Sigcha, Sergio Benedetto and Pasquale Cataldi. Their work appears in journals such as IEEE Transactions on Image Processing, Signal Processing, IEEE Signal Processing Letters, Electronics 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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