Matteo Cassotti

14 total papers · 627 total citations
8 papers, 180 citations indexed

About

Matteo Cassotti is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Matteo Cassotti has authored 8 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 3 papers in Statistics and Probability and 2 papers in Molecular Biology. Recurrent topics in Matteo Cassotti's work include Computational Drug Discovery Methods (6 papers), Advanced Statistical Methods and Models (3 papers) and Environmental Toxicology and Ecotoxicology (2 papers). Matteo Cassotti is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Advanced Statistical Methods and Models (3 papers) and Environmental Toxicology and Ecotoxicology (2 papers). Matteo Cassotti collaborates with scholars based in Italy, Saudi Arabia and Germany. Matteo Cassotti's co-authors include Roberto Todeschini, Davide Ballabio, Viviana Consonni, Andrea Mauri, Francesca Grisoni, Igor V. Tetko and Stuart Lee and has published in prestigious journals such as Journal of Chemical Information and Modeling, Chemometrics and Intelligent Laboratory Systems and Journal of Chemometrics.

In The Last Decade

Matteo Cassotti

8 papers receiving 175 citations

Author Peers

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

Author						Papers	Cites
Matteo Cassotti	100	42	42	35	30	8	180
Geven Piir	87 0.9×	44 1.0×	46 1.1×	7 0.2×	10 0.3×	11	162
Hans-Peter Spirkl	122 1.2×	62 1.5×	24 0.6×	7 0.2×	7 0.2×	5	220
Martin A. Ott	51 0.5×	92 2.2×	58 1.4×	6 0.2×	37 1.2×	15	241
Micha Rautenberg	100 1.0×	83 2.0×	21 0.5×	10 0.3×	5 0.2×	7	213
Filippo Lunghini	100 1.0×	48 1.1×	45 1.1×	6 0.2×	10 0.3×	17	183
Nicoleta Sp̂înu	101 1.0×	56 1.3×	106 2.5×	4 0.1×	6 0.2×	15	273
Valeria Scardino	123 1.2×	117 2.8×	12 0.3×	9 0.3×	6 0.2×	4	219
Gustavo E. Vázquez	149 1.5×	75 1.8×	5 0.1×	27 0.8×	6 0.2×	22	270
Jennifer Hemmerich	120 1.2×	133 3.2×	22 0.5×	10 0.3×	7 0.2×	9	282
Wil ten Berge	42 0.4×	10 0.2×	109 2.6×	6 0.2×	10 0.3×	7	285

Countries citing papers authored by Matteo Cassotti

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Cassotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Cassotti

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