Massimo De Marchi

189 total papers · 1.9k total citations
74 papers, 1.4k citations indexed

About

Massimo De Marchi is a scholar working on Global and Planetary Change, Environmental Engineering and Social Psychology. According to data from OpenAlex, Massimo De Marchi has authored 74 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 12 papers in Environmental Engineering and 10 papers in Social Psychology. Recurrent topics in Massimo De Marchi's work include Land Use and Ecosystem Services (12 papers), Action Observation and Synchronization (9 papers) and Urban Heat Island Mitigation (9 papers). Massimo De Marchi is often cited by papers focused on Land Use and Ecosystem Services (12 papers), Action Observation and Synchronization (9 papers) and Urban Heat Island Mitigation (9 papers). Massimo De Marchi collaborates with scholars based in Italy, United States and Ecuador. Massimo De Marchi's co-authors include Salvatore Eugenio Pappalardo, Giuseppe Di Cesare, Giorgio Trinchieri, Giacomo Rizzolatti, Fang Liao, Joshua Μ. Farber, Sara Gasperini, L. Vicentini, Helge Olsen and Federica Calzetti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Massimo De Marchi

64 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Massimo De Marchi 352 178 149 140 131 74 1.4k
Youjun Chen 62 0.2× 172 1.0× 95 0.6× 140 1.0× 21 0.2× 100 1.7k
Stuart W. Smith 130 0.4× 90 0.5× 115 0.8× 116 0.8× 16 0.1× 65 1.3k
Ping Lü 108 0.3× 44 0.2× 147 1.0× 49 0.3× 44 0.3× 59 1.3k
Xueyan Zheng 147 0.4× 79 0.4× 67 0.4× 54 0.4× 21 0.2× 60 1.7k
Amber L. Fyfe‐Johnson 319 0.9× 31 0.2× 136 0.9× 18 0.1× 41 0.3× 34 1.2k
Bo Zhang 47 0.1× 156 0.9× 31 0.2× 108 0.8× 21 0.2× 98 1.4k
Peter Ahnert 194 0.6× 129 0.7× 137 0.9× 13 0.1× 27 0.2× 76 1.8k
Zeyu Zhang 87 0.2× 45 0.3× 123 0.8× 34 0.2× 34 0.3× 101 1.3k
Yuki Murakami 184 0.5× 113 0.6× 146 1.0× 213 1.5× 52 0.4× 84 1.5k
Yixuan Liu 96 0.3× 177 1.0× 54 0.4× 21 0.1× 38 0.3× 107 1.3k

Countries citing papers authored by Massimo De Marchi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo De Marchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo De Marchi. 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 Massimo De Marchi. The network helps show where Massimo De Marchi may publish in the future.

Co-authorship network of co-authors of Massimo De Marchi

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo De Marchi. A scholar is included among the top collaborators of Massimo De Marchi 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 Massimo De Marchi. Massimo De Marchi 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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