Manuel Mariani

106 total papers · 950 total citations
48 papers, 586 citations indexed

About

Manuel Mariani is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Manuel Mariani has authored 48 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electronic, Optical and Magnetic Materials, 14 papers in Materials Chemistry and 11 papers in Spectroscopy. Recurrent topics in Manuel Mariani's work include Magnetism in coordination complexes (21 papers), Lanthanide and Transition Metal Complexes (12 papers) and Advanced NMR Techniques and Applications (11 papers). Manuel Mariani is often cited by papers focused on Magnetism in coordination complexes (21 papers), Lanthanide and Transition Metal Complexes (12 papers) and Advanced NMR Techniques and Applications (11 papers). Manuel Mariani collaborates with scholars based in Italy, Switzerland and United Kingdom. Manuel Mariani's co-authors include A. Lascialfari, Claudio Sangregorio, Paola Fantazzini, Francesco Orsini, Claudia Innocenti, Andréa Caneschi, Villiam Bortolotti, R. James Brown, Paolo Arosio and M. Corti and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Environmental Science & Technology.

In The Last Decade

Manuel Mariani

46 papers receiving 574 citations

Author Peers

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

Author Last Decade Papers Cites
Manuel Mariani 211 202 150 98 93 48 586
Krzysztof Górny 232 1.1× 84 0.4× 180 1.2× 21 0.2× 115 1.2× 55 637
Yuqi Sheng 168 0.8× 46 0.2× 117 0.8× 95 1.0× 37 0.4× 40 527
А.А. Кузнецов 181 0.9× 116 0.6× 363 2.4× 213 2.2× 84 0.9× 33 668
Qilong Cao 242 1.1× 83 0.4× 91 0.6× 27 0.3× 33 0.4× 74 624
G. Diamantopoulos 185 0.9× 192 1.0× 119 0.8× 47 0.5× 33 0.4× 34 512
Martina Basini 132 0.6× 63 0.3× 238 1.6× 141 1.4× 45 0.5× 18 570
Tomas Orlando 286 1.4× 88 0.4× 224 1.5× 144 1.5× 12 0.1× 28 570
Cristina Simó 131 0.6× 41 0.2× 236 1.6× 71 0.7× 225 2.4× 22 535
G. Kellermann 336 1.6× 91 0.5× 132 0.9× 20 0.2× 26 0.3× 46 612
Hee‐Kyung Kim 336 1.6× 72 0.4× 124 0.8× 104 1.1× 6 0.1× 41 591

Countries citing papers authored by Manuel Mariani

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Mariani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Mariani

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Mariani. A scholar is included among the top collaborators of Manuel Mariani 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 Manuel Mariani. Manuel Mariani 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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