Daniela Donno

548 citations
33 papers · 363 indexed · h-index 10

Impact in

  • Geophysics top 5%
    • Seismic Imaging and Inversion Techniques
    • Seismic Waves and Analysis
    • Geophysical and Geoelectrical Methods
    • Geophysical Methods and Applications
    • Drilling and Well Engineering
    • Geophysics and Sensor Technology

Papers in

    • Seismic Imaging and Inversion Techniques 26
    • Seismic Waves and Analysis 23
    • Reservoir Engineering and Simulation Methods 5
    • Geophysics and Sensor Technology 5
    • Drilling and Well Engineering 4
    • Geophysical Methods and Applications 4

Daniela Donno

29 papers receiving 355 citations

Peers

Daniela Donno
Comparison fields: 5 of 34
  • Geophysics 312
  • Ocean Engineering 193
  • Signal Processing 25
  • Oceanography 21
  • Computer Vision and Pattern Recognition 30
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Daniela Donno relative to Ilya Silvestrov United States Ilya Silvestrov's profile →
Citations per field
00.5×8.3×
Ilya Silvestrov · 1×
Citations per year

Countries citing papers authored by Daniela Donno

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Donno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201472
2 201645
3 201336
4 201129
5 201222
6 201621
7 200820
8 201620
9 201013
10 201512
11 20189
12 20189
13 20197
14 20147
15 20137
16 20205
17 20214
18 20174
19 20223
20 20063

About Daniela Donno

Daniela Donno is a scholar working on Geophysics, Ocean Engineering, Oceanography, Signal Processing and Geochemistry and Petrology, having authored 33 papers that have together received 363 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (26 papers), Seismic Waves and Analysis (23 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), Underwater Acoustics Research (6 papers), Reservoir Engineering and Simulation Methods (5 papers), Geophysics and Sensor Technology (5 papers), Drilling and Well Engineering (4 papers) and Geophysical Methods and Applications (4 papers). The work is most often cited by research in Geophysics (312 citations), Ocean Engineering (193 citations), Signal Processing (25 citations), Oceanography (21 citations) and Computer Vision and Pattern Recognition (30 citations). Daniela Donno has collaborated with scholars based in France, Italy and United Kingdom. Frequent co-authors include Hervé Chauris, A.H. Hartog, Henri Calandra, James E. Martin, Caroline Mehl, Umberto Spagnolini, Arye Nehorai, F. Audebert, Mark Noble and João Marcos Travassos Romano. Their work appears in journals such as Geophysics, The Leading Edge, Geophysical Journal International, Computational Geosciences and IEEE Transactions on Signal Processing.

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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