Daniela De Palma

46 papers receiving 566 citations

Peers

Daniela De Palma
Comparison fields: 5 of 90
  • Ocean Engineering 155
  • Endocrine and Autonomic Systems 57
  • Cardiology and Cardiovascular Medicine 76
  • Oceanography 46
  • Control and Systems Engineering 73
Replace Yuichiro Toda with:
Yuichiro Toda Japan
Toshinari Tanaka Japan
Ping Jiang China
Alfredo Arcos Jiménez Spain
Salvador Pintos Venezuela
M.D. Feezor United States
Di Zhao China
Anders Nymark Christensen Denmark
Xiaoxia Yu China
Ioannis Koutroulis United States
Daniela De Palma relative to Yuichiro Toda Japan Yuichiro Toda's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela De Palma

Since Specialization
Citations

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

Fields of papers citing papers by Daniela De Palma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200881
2 201136
3 201734
4 201333
5 201632
6 201328
7 201626
8 201625
9 202023
10 202119
11 202019
12 201718
13 201817
14 201915
15 201315
16 201414
17 201910
18 201510
19 201410
20 20219

About Daniela De Palma

Daniela De Palma is a scholar working on Ocean Engineering, Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 581 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (17 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers), Adaptive Control of Nonlinear Systems (7 papers), Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (6 papers), Indoor and Outdoor Localization Technologies (5 papers), Underwater Acoustics Research (4 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Ocean Engineering (155 citations), Endocrine and Autonomic Systems (57 citations), Cardiology and Cardiovascular Medicine (76 citations), Oceanography (46 citations) and Control and Systems Engineering (73 citations). Daniela De Palma has collaborated with scholars based in Italy, United Kingdom and Portugal. Frequent co-authors include Giovanni Indiveri, Gianfranco Parlangeli, Pasquale Strazzullo, Ferruccio Galletti, Lanfranco D’Elia, Ornella Russo, R. Ippolito, Alfonso Siani, Francesco P. Cappuccio and Filippo Arrichiello. Their work appears in journals such as Journal of Clinical Medicine, Neurological Sciences, Hormone and Metabolic Research, Frontiers in Microbiology and Nephrology Dialysis Transplantation.

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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