Mariolina Longo

88 total papers · 1.3k total citations
30 papers, 956 citations indexed

About

Mariolina Longo is a scholar working on Strategy and Management, Economics and Econometrics and Environmental Engineering. According to data from OpenAlex, Mariolina Longo has authored 30 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Strategy and Management, 11 papers in Economics and Econometrics and 9 papers in Environmental Engineering. Recurrent topics in Mariolina Longo's work include Environmental Impact and Sustainability (8 papers), Climate Change Policy and Economics (7 papers) and Environmental Sustainability in Business (6 papers). Mariolina Longo is often cited by papers focused on Environmental Impact and Sustainability (8 papers), Climate Change Policy and Economics (7 papers) and Environmental Sustainability in Business (6 papers). Mariolina Longo collaborates with scholars based in Italy, United Kingdom and India. Mariolina Longo's co-authors include Matteo Mura, Alessandra Bònoli, Sara Zanni, Letícia Canal Vieira, Pietro Micheli, Daniela Bolzani, Cristina Masella, Marcello M. Mariani, Laura Toschi and Nicola Spiller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Energy Policy.

In The Last Decade

Mariolina Longo

27 papers receiving 884 citations

Author Peers

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

Author Last Decade Papers Cites
Mariolina Longo 641 375 118 103 89 30 956
Praveen Goyal 552 0.9× 598 1.6× 85 0.7× 195 1.9× 73 0.8× 35 1.2k
Tamara Menichini 626 1.0× 406 1.1× 81 0.7× 84 0.8× 34 0.4× 25 1.1k
Elisa Truant 424 0.7× 267 0.7× 121 1.0× 124 1.2× 51 0.6× 44 872
Eva Collins 553 0.9× 462 1.2× 63 0.5× 145 1.4× 114 1.3× 29 989
Chander Velu 451 0.7× 244 0.7× 108 0.9× 103 1.0× 68 0.8× 38 819
Riccardo Tiscini 504 0.8× 291 0.8× 149 1.3× 78 0.8× 41 0.5× 39 795
Mônica Cavalcanti Sá de Abreu 653 1.0× 451 1.2× 111 0.9× 78 0.8× 59 0.7× 79 1.0k
Pasi Heikkurinen 444 0.7× 358 1.0× 92 0.8× 103 1.0× 82 0.9× 39 1.0k
Carlos Ferro‐Soto 508 0.8× 415 1.1× 78 0.7× 228 2.2× 64 0.7× 50 980
Yi‐Chun Huang 740 1.2× 731 1.9× 177 1.5× 167 1.6× 90 1.0× 26 1.2k

Countries citing papers authored by Mariolina Longo

Since Specialization
Citations

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

Fields of papers citing papers by Mariolina Longo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariolina Longo

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