Daniele Padula

96 total papers · 2.2k total citations
65 papers, 1.5k citations indexed

About

Daniele Padula is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Daniele Padula has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Materials Chemistry, 22 papers in Atomic and Molecular Physics, and Optics and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Daniele Padula's work include Molecular spectroscopy and chirality (18 papers), Spectroscopy and Quantum Chemical Studies (17 papers) and Organic Electronics and Photovoltaics (14 papers). Daniele Padula is often cited by papers focused on Molecular spectroscopy and chirality (18 papers), Spectroscopy and Quantum Chemical Studies (17 papers) and Organic Electronics and Photovoltaics (14 papers). Daniele Padula collaborates with scholars based in Italy, United Kingdom and France. Daniele Padula's co-authors include Alessandro Troisi, Tahereh Nematiaram, Ömer H. Omar, Gennaro Pescitelli, Alessandro Landi, Fabrizio Santoro, Haibo Ma, Lorenzo Di Bari, Samuele Giannini and Xiaoyu Xie and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Energy & Environmental Science.

In The Last Decade

Daniele Padula

60 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniele Padula 642 569 316 304 247 65 1.5k
Pierre Valat 573 0.9× 690 1.2× 395 1.3× 163 0.5× 261 1.1× 40 1.4k
Marco Holzapfel 553 0.9× 855 1.5× 527 1.7× 148 0.5× 136 0.6× 58 1.4k
Magdaléna Hromadová 657 1.0× 411 0.7× 574 1.8× 333 1.1× 165 0.7× 106 1.7k
Petr Toman 383 0.6× 430 0.8× 311 1.0× 143 0.5× 221 0.9× 128 1.3k
Luca Grisanti 442 0.7× 614 1.1× 151 0.5× 218 0.7× 127 0.5× 42 1.3k
Yuichi Terazono 546 0.9× 993 1.7× 286 0.9× 213 0.7× 73 0.3× 34 1.5k
Michal Valášek 639 1.0× 503 0.9× 275 0.9× 284 0.9× 98 0.4× 59 1.2k
Gerd Schweitzer 541 0.8× 765 1.3× 155 0.5× 325 1.1× 295 1.2× 38 1.5k
Robert Send 637 1.0× 448 0.8× 116 0.4× 597 2.0× 382 1.5× 30 1.6k
Marcus Böckmann 257 0.4× 738 1.3× 426 1.3× 255 0.8× 92 0.4× 31 1.2k

Countries citing papers authored by Daniele Padula

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Padula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Padula

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Padula. A scholar is included among the top collaborators of Daniele Padula based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniele Padula. Daniele Padula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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