M. Palmese

421 citations
29 papers · 321 · h-index 11

Impact in

    • Underwater Acoustics Research
    • Speech and Audio Processing
    • Direction-of-Arrival Estimation Techniques

Papers in

    • Underwater Acoustics Research 25
    • Underwater Vehicles and Communication Systems 13
    • Geophysical Methods and Applications 7

M. Palmese

28 papers receiving 312 citations

Peers

M. Palmese
Comparison fields: 5 of 42
  • Oceanography 175
  • Signal Processing 118
  • Ocean Engineering 107
  • Aerospace Engineering 118
  • Computer Vision and Pattern Recognition 48
Replace Cheng Chi with:
Cheng Chi China
Zengli Yang United States
S. DeGraaf United States
Lawrence J. Ziomek United States
R.F.W. Coates United Kingdom
Angela Dell’Aversano Italy
Angélique Drémeau France
Haisen Li China
Carl-Inge Colombo Nilsen Norway
Xionghou Liu China
M. Palmese relative to Cheng Chi China Cheng Chi's profile →
Citations per field
00.5×8.5×
Cheng Chi · 1×
Citations per year

Countries citing papers authored by M. Palmese

Since Specialization
Citations

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

Fields of papers citing papers by M. Palmese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside M. Palmese, 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 M. Palmese Line = papers co-authored together M. Palmese links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200854
2 201046
3 200939
4 200630
5 200816
6 200715
7 200713
8 200811
9 200811
10 200810
11 200610
12 201310
13 20059
14 20077
15 20077
16 20067
17 20096
18 20055
19 20053
20 20062

About M. Palmese

M. Palmese is a scholar working on Oceanography, Ocean Engineering, Signal Processing, Mechanics of Materials and Aerospace Engineering, having authored 29 papers that have together received 321 indexed citations. Recurring topics across this work include Underwater Acoustics Research (25 papers), Underwater Vehicles and Communication Systems (13 papers), Speech and Audio Processing (11 papers), Geophysical Methods and Applications (7 papers), Ultrasonics and Acoustic Wave Propagation (6 papers), Robotics and Sensor-Based Localization (5 papers), Ultrasound Imaging and Elastography (4 papers) and Indoor and Outdoor Localization Technologies (3 papers). The work is most often cited by research in Oceanography (175 citations), Signal Processing (118 citations), Ocean Engineering (107 citations), Aerospace Engineering (118 citations) and Computer Vision and Pattern Recognition (48 citations). M. Palmese has collaborated with scholars based in Italy. Frequent co-authors include Andrea Trucco, Marco Crocco, Andrea Caiti, Vittorio Murino, Roberto Sacile, Michela Robba and R. Minciardi. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Journal of Oceanic Engineering, The Journal of the Acoustical Society of America, Chemistry and Ecology and Ultrasonics.

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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