Matteo Antelmi

22 total papers · 429 total citations
18 papers, 364 citations indexed

About

Matteo Antelmi is a scholar working on Environmental Engineering, Renewable Energy, Sustainability and the Environment and Civil and Structural Engineering. According to data from OpenAlex, Matteo Antelmi has authored 18 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 13 papers in Renewable Energy, Sustainability and the Environment and 11 papers in Civil and Structural Engineering. Recurrent topics in Matteo Antelmi's work include Groundwater flow and contamination studies (15 papers), Geothermal Energy Systems and Applications (13 papers) and Soil and Unsaturated Flow (9 papers). Matteo Antelmi is often cited by papers focused on Groundwater flow and contamination studies (15 papers), Geothermal Energy Systems and Applications (13 papers) and Soil and Unsaturated Flow (9 papers). Matteo Antelmi collaborates with scholars based in Italy, United States and France. Matteo Antelmi's co-authors include Luca Alberti, Adriana Angelotti, Loris Colombo, Sorab Panday, Roberto Fedrizzi, Patrick Höhener and Paola Gattinoni and has published in prestigious journals such as Journal of Hydrology, Energy Conversion and Management and Agricultural Water Management.

In The Last Decade

Matteo Antelmi

17 papers receiving 363 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Antelmi 258 218 140 63 40 18 364
Yoshitaka Sakata 252 1.0× 136 0.6× 145 1.0× 144 2.3× 74 1.9× 39 351
Matteo Cultrera 282 1.1× 180 0.8× 109 0.8× 64 1.0× 70 1.8× 22 388
Hagen Steger 190 0.7× 104 0.5× 128 0.9× 91 1.4× 46 1.1× 19 366
Liangliang Guo 172 0.7× 145 0.7× 63 0.5× 132 2.1× 26 0.7× 20 368
Daniela Blessent 64 0.2× 174 0.8× 102 0.7× 98 1.6× 21 0.5× 32 338
Stefan Kranz 155 0.6× 155 0.7× 23 0.2× 86 1.4× 20 0.5× 28 372
Eduardo Garrido Schneider 234 0.9× 239 1.1× 32 0.2× 14 0.2× 36 0.9× 15 343
Falk Händel 103 0.4× 279 1.3× 62 0.4× 28 0.4× 40 1.0× 25 340
Walter J. Eugster 339 1.3× 170 0.8× 134 1.0× 119 1.9× 64 1.6× 8 403
Sandra Lanini 49 0.2× 118 0.5× 87 0.6× 56 0.9× 12 0.3× 24 322

Countries citing papers authored by Matteo Antelmi

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Antelmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Antelmi

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