Matteo Cultrera

36 total papers · 469 total citations
22 papers, 388 citations indexed

About

Matteo Cultrera is a scholar working on Renewable Energy, Sustainability and the Environment, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Matteo Cultrera has authored 22 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Renewable Energy, Sustainability and the Environment, 10 papers in Environmental Engineering and 7 papers in Civil and Structural Engineering. Recurrent topics in Matteo Cultrera's work include Geothermal Energy Systems and Applications (13 papers), CO2 Sequestration and Geologic Interactions (7 papers) and Soil and Unsaturated Flow (5 papers). Matteo Cultrera is often cited by papers focused on Geothermal Energy Systems and Applications (13 papers), CO2 Sequestration and Geologic Interactions (7 papers) and Soil and Unsaturated Flow (5 papers). Matteo Cultrera collaborates with scholars based in Italy, Germany and Switzerland. Matteo Cultrera's co-authors include Antonio Galgaro, Giorgia Dalla Santa, Adriana Bernardi, David Bertermann, Michele De Carli, Johannes Mueller, Eloisa Di Sipio, Dimitrios Mendrinos, Raffaele Sassi and Giuseppe Emmi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable Energy and Applied Thermal Engineering.

In The Last Decade

Matteo Cultrera

21 papers receiving 373 citations

Author Peers

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

Author						Papers	Cites
Matteo Cultrera	282	180	109	70	65	22	388
Matteo Antelmi	258 0.9×	218 1.2×	140 1.3×	40 0.6×	34 0.5×	18	364
Tuğçe Başer	176 0.6×	88 0.5×	174 1.6×	70 1.0×	33 0.5×	37	379
Tomislav Kurevija	310 1.1×	120 0.7×	95 0.9×	41 0.6×	35 0.5×	43	420
Panayiotis Pouloupatis	352 1.2×	125 0.7×	167 1.5×	115 1.6×	55 0.8×	15	426
Guosheng Jia	280 1.0×	93 0.5×	146 1.3×	78 1.1×	34 0.5×	25	344
Domagoj Vulin	196 0.7×	131 0.7×	78 0.7×	27 0.4×	28 0.4×	35	378
David Boon	111 0.4×	125 0.7×	71 0.7×	100 1.4×	40 0.6×	29	419
Martin Preene	117 0.4×	160 0.9×	187 1.7×	27 0.4×	48 0.7×	40	405
Arturo Farfán Martín	269 1.0×	105 0.6×	79 0.7×	15 0.2×	65 1.0×	31	392
Hagen Steger	190 0.7×	104 0.6×	128 1.2×	46 0.7×	12 0.2×	19	366

Countries citing papers authored by Matteo Cultrera

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Cultrera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Cultrera

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