Mirko Pacchioni

10 total papers · 427 total citations
7 papers, 362 citations indexed

About

Mirko Pacchioni is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Mirko Pacchioni has authored 7 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electronic, Optical and Magnetic Materials, 6 papers in Materials Chemistry and 1 paper in Organic Chemistry. Recurrent topics in Mirko Pacchioni's work include Magnetism in coordination complexes (7 papers), Lanthanide and Transition Metal Complexes (6 papers) and Porphyrin and Phthalocyanine Chemistry (2 papers). Mirko Pacchioni is often cited by papers focused on Magnetism in coordination complexes (7 papers), Lanthanide and Transition Metal Complexes (6 papers) and Porphyrin and Phthalocyanine Chemistry (2 papers). Mirko Pacchioni collaborates with scholars based in Italy, Netherlands and France. Mirko Pacchioni's co-authors include Andrea Cornia, Laura Zobbi, Dante Gatteschi, Daniele Bonacchi, Roberto Biagi, U. del Pennino, Antonio C. Fabretti, Andréa Caneschi, Valentina De Renzi and Leonid Gurevich and has published in prestigious journals such as Angewandte Chemie International Edition, Physical review. B, Condensed matter and Chemical Communications.

In The Last Decade

Mirko Pacchioni

7 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Mirko Pacchioni	311	250	108	82	47	7	362
Lapo Gorini	238 0.8×	207 0.8×	117 1.1×	83 1.0×	69 1.5×	11	348
L. Margheriti	283 0.9×	254 1.0×	75 0.7×	90 1.1×	26 0.6×	11	363
Michał Studniarek	242 0.8×	203 0.8×	87 0.8×	77 0.9×	31 0.7×	14	298
Hélène Soyer	325 1.0×	272 1.1×	52 0.5×	42 0.5×	44 0.9×	12	365
Dominik Dengler	221 0.7×	169 0.7×	55 0.5×	121 1.5×	110 2.3×	3	334
Berk Kovos	137 0.4×	180 0.7×	108 1.0×	116 1.4×	67 1.4×	3	311
Bai Gui-Ru	155 0.5×	225 0.9×	70 0.6×	110 1.3×	20 0.4×	13	349
Karin Goß	276 0.9×	338 1.4×	131 1.2×	62 0.8×	12 0.3×	13	397
Masaaki Nakatsuji	194 0.6×	210 0.8×	117 1.1×	37 0.5×	125 2.7×	10	394
M.A. Novak	276 0.9×	207 0.8×	18 0.2×	74 0.9×	52 1.1×	13	337

Countries citing papers authored by Mirko Pacchioni

Since Specialization

Citations

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

Fields of papers citing papers by Mirko Pacchioni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirko Pacchioni

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