Fabio De Menna

42 total papers · 908 total citations
22 papers, 598 citations indexed

About

Fabio De Menna is a scholar working on Food Science, Ecology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Fabio De Menna has authored 22 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Food Science, 10 papers in Ecology and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Fabio De Menna's work include Food Waste Reduction and Sustainability (13 papers), Agriculture Sustainability and Environmental Impact (10 papers) and Municipal Solid Waste Management (6 papers). Fabio De Menna is often cited by papers focused on Food Waste Reduction and Sustainability (13 papers), Agriculture Sustainability and Environmental Impact (10 papers) and Municipal Solid Waste Management (6 papers). Fabio De Menna collaborates with scholars based in Italy, United States and Austria. Fabio De Menna's co-authors include Matteo Vittuari, Laura García-Herrero, Marco Pagani, Giovanni Molari, Thomas G. Johnson, Karin Östergren, Andrea Segrè, Christine Costello, Luigi Ledda and Paola A. Deligios and has published in prestigious journals such as Journal of Cleaner Production, Waste Management and Resources Conservation and Recycling.

In The Last Decade

Fabio De Menna

22 papers receiving 584 citations

Author Peers

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

Author						Papers	Cites
Fabio De Menna	317	179	176	124	90	22	598
Pedro Brancoli	357 1.1×	177 1.0×	116 0.7×	73 0.6×	95 1.1×	21	638
Daniel Hoehn	344 1.1×	181 1.0×	135 0.8×	100 0.8×	84 0.9×	16	636
Erik Svanes	285 0.9×	108 0.6×	187 1.1×	134 1.1×	103 1.1×	17	574
Amanda Cuéllar	329 1.0×	152 0.8×	166 0.9×	57 0.5×	115 1.3×	11	692
Ramy Salemdeeb	268 0.8×	253 1.4×	132 0.8×	90 0.7×	47 0.5×	7	577
Thomas L. Oldfield	152 0.5×	177 1.0×	84 0.5×	160 1.3×	95 1.1×	10	649
Paola Federica Albizzati	266 0.8×	305 1.7×	76 0.4×	121 1.0×	54 0.6×	14	662
Belmira Neto	82 0.3×	102 0.6×	180 1.0×	101 0.8×	106 1.2×	33	644
Kumar Venkat	159 0.5×	94 0.5×	153 0.9×	191 1.5×	127 1.4×	8	543
Dominika Alexa Teigiserova	317 1.0×	124 0.7×	60 0.3×	151 1.2×	105 1.2×	9	610

Countries citing papers authored by Fabio De Menna

Since Specialization

Citations

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

Fields of papers citing papers by Fabio De Menna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio De Menna

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