Matteo Sensi

38 total papers · 871 total citations
28 papers, 688 citations indexed

About

Matteo Sensi is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Molecular Biology. According to data from OpenAlex, Matteo Sensi has authored 28 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 10 papers in Polymers and Plastics and 8 papers in Molecular Biology. Recurrent topics in Matteo Sensi's work include Conducting polymers and applications (10 papers), Metalloenzymes and iron-sulfur proteins (8 papers) and Electrocatalysts for Energy Conversion (7 papers). Matteo Sensi is often cited by papers focused on Conducting polymers and applications (10 papers), Metalloenzymes and iron-sulfur proteins (8 papers) and Electrocatalysts for Energy Conversion (7 papers). Matteo Sensi collaborates with scholars based in Italy, France and Portugal. Matteo Sensi's co-authors include Fabio Biscarini, Vincent Fourmond, Carlo Augusto Bortolotti, Marcello Berto, Christophe Léger, Carole Baffert, Melisa del Barrio, Pierpaolo Greco, Valerio Beni and Michele Di Lauro and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Accounts of Chemical Research.

In The Last Decade

Matteo Sensi

25 papers receiving 684 citations

Author Peers

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

Author						Papers	Cites
Matteo Sensi	320	264	168	166	144	28	688
Sebastian Neugebauer	432 1.4×	203 0.8×	118 0.7×	136 0.8×	258 1.8×	25	786
Kerstin Oppelt	235 0.7×	346 1.3×	117 0.7×	81 0.5×	138 1.0×	30	761
Joshua C. Byers	318 1.0×	185 0.7×	174 1.0×	105 0.6×	58 0.4×	24	737
Taotao Feng	305 1.0×	83 0.3×	95 0.6×	186 1.1×	280 1.9×	21	627
Ruben Maidan	345 1.1×	140 0.5×	81 0.5×	55 0.3×	122 0.8×	15	672
Kaixin Zhang	349 1.1×	173 0.7×	214 1.3×	128 0.8×	108 0.8×	39	663
Bruno Morandi Pires	401 1.3×	97 0.4×	162 1.0×	129 0.8×	37 0.3×	15	608
M. Koudelka	436 1.4×	277 1.0×	87 0.5×	124 0.7×	42 0.3×	20	693
Adrian Olejnik	276 0.9×	118 0.4×	129 0.8×	95 0.6×	57 0.4×	34	577
Logan E. Garner	426 1.3×	100 0.4×	190 1.1×	99 0.6×	152 1.1×	22	773

Countries citing papers authored by Matteo Sensi

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Sensi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Sensi

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