Davide Altamura

130 papers receiving 3.4k citations

Peers

Davide Altamura
Comparison fields: 5 of 136
  • Materials Chemistry 1.6k
  • Biomaterials 442
  • Dermatology 299
  • Polymers and Plastics 332
  • Electrical and Electronic Engineering 1.3k
Replace Oliver Seitz with:
Oliver Seitz Germany
Daisuke Suzuki Japan
Guangzhao Mao United States
Younjin Min United States
Tao Wen China
Frederik Claeyssens United Kingdom
Philippe M. Vereecken Belgium
Sungjee Kim South Korea
Yong Taik Lim South Korea
Scott S. Verbridge United States
Davide Altamura relative to Oliver Seitz Germany Oliver Seitz's profile →
Citations per field
00.5×9.1×
Oliver Seitz · 1×
Citations per year

Countries citing papers authored by Davide Altamura

Since Specialization
Citations

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

Fields of papers citing papers by Davide Altamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013308
2 2009216
3 2018125
4 2013115
5 2011106
6 2012101
7 200899
8 201895
9 201687
10 201286
11 201782
12 200661
13 201858
14 201956
15 201955
16 202048
17 202047
18 202144
19 201643
20 201942

About Davide Altamura

Davide Altamura is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Biomaterials and Oncology, having authored 133 papers that have together received 3.5k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (29 papers), Quantum Dots Synthesis And Properties (28 papers), Cutaneous Melanoma Detection and Management (12 papers), Chalcogenide Semiconductor Thin Films (12 papers), Bone Tissue Engineering Materials (11 papers), Conducting polymers and applications (8 papers), Advanced X-ray Imaging Techniques (8 papers) and Collagen: Extraction and Characterization (8 papers). The work is most often cited by research in Materials Chemistry (1.6k citations), Biomaterials (442 citations), Dermatology (299 citations), Polymers and Plastics (332 citations) and Electrical and Electronic Engineering (1.3k citations). Davide Altamura has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Cinzia Giannini, Dritan Siliqi, Liberato De, Scott W. Menzies, Teresa Sibillano, Michelle Avramidis, P. Davide Cozzoli, Ketty Peris, Marinella Striccoli and Luigi Carbone. Their work appears in journals such as Journal of Applied Crystallography, Scientific Reports, The Journal of Physical Chemistry C, Nanoscale and CrystEngComm.

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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