Roberto D’Amato

27 total papers · 735 total citations
17 papers, 599 citations indexed

About

Roberto D’Amato is a scholar working on Inorganic Chemistry, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Roberto D’Amato has authored 17 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Inorganic Chemistry, 7 papers in Materials Chemistry and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Roberto D’Amato's work include Metal-Organic Frameworks: Synthesis and Applications (8 papers), Fuel Cells and Related Materials (4 papers) and Advanced battery technologies research (3 papers). Roberto D’Amato is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (8 papers), Fuel Cells and Related Materials (4 papers) and Advanced battery technologies research (3 papers). Roberto D’Amato collaborates with scholars based in Italy, United Kingdom and Germany. Roberto D’Amato's co-authors include Ferdinando Costantino, Anna Donnadio, Marco Taddei, Fabio Marmottini, Jannick Jacobsen, Norbert Stock, Andrea Ienco, Mario Casciola, Monica Pica and Riccardo Narducci and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Membrane Science and Inorganic Chemistry.

In The Last Decade

Roberto D’Amato

17 papers receiving 592 citations

Author Peers

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

Author						Papers	Cites
Roberto D’Amato	359	314	185	117	65	17	599
Ling Zhang	234 0.7×	330 1.1×	105 0.6×	147 1.3×	54 0.8×	15	513
Tiantian Xing	309 0.9×	326 1.0×	171 0.9×	87 0.7×	57 0.9×	14	654
Hongyu Zuo	283 0.8×	465 1.5×	143 0.8×	138 1.2×	126 1.9×	18	669
Wei Tian	178 0.5×	308 1.0×	192 1.0×	238 2.0×	50 0.8×	22	568
Pengfei Yang	425 1.2×	356 1.1×	93 0.5×	125 1.1×	32 0.5×	16	617
Ju Huang	147 0.4×	270 0.9×	151 0.8×	173 1.5×	67 1.0×	35	609
Xoliswa Dyosiba	371 1.0×	253 0.8×	81 0.4×	89 0.8×	51 0.8×	9	540
Vikash Chandra Janu	184 0.5×	341 1.1×	161 0.9×	83 0.7×	68 1.0×	24	589
Mustafa Erkartal	289 0.8×	255 0.8×	217 1.2×	82 0.7×	68 1.0×	25	570
Chin-An Ku	293 0.8×	321 1.0×	171 0.9×	47 0.4×	74 1.1×	15	580

Countries citing papers authored by Roberto D’Amato

Since Specialization

Citations

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

Fields of papers citing papers by Roberto D’Amato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto D’Amato. 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 Roberto D’Amato. The network helps show where Roberto D’Amato may publish in the future.

Co-authorship network of co-authors of Roberto D’Amato

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto D’Amato. A scholar is included among the top collaborators of Roberto D’Amato 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 Roberto D’Amato. Roberto D’Amato 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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