Daniele Alberoni

39 total papers · 725 total citations
25 papers, 520 citations indexed

About

Daniele Alberoni is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Daniele Alberoni has authored 25 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Insect Science, 19 papers in Ecology, Evolution, Behavior and Systematics and 14 papers in Genetics. Recurrent topics in Daniele Alberoni's work include Insect and Pesticide Research (20 papers), Plant and animal studies (18 papers) and Insect and Arachnid Ecology and Behavior (14 papers). Daniele Alberoni is often cited by papers focused on Insect and Pesticide Research (20 papers), Plant and animal studies (18 papers) and Insect and Arachnid Ecology and Behavior (14 papers). Daniele Alberoni collaborates with scholars based in Italy, Argentina and Malta. Daniele Alberoni's co-authors include Loredana Baffoni, Diana Di Gioia, Francesca Gaggìa, Bruno Biavati, Sergio Angeli, Riccardo Favaro, Catherine Stanton, R. Paul Ross, Riccardo Cabbri and Antonio Nanetti and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Applied Microbiology and Biotechnology.

In The Last Decade

Daniele Alberoni

22 papers receiving 514 citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Alberoni 457 333 290 43 43 25 520
Paula Melisa Garrido 562 1.2× 441 1.3× 378 1.3× 28 0.7× 78 1.8× 24 613
Joanito Liberti 479 1.0× 409 1.2× 386 1.3× 33 0.8× 39 0.9× 19 583
Jason A. Rothman 382 0.8× 327 1.0× 245 0.8× 79 1.8× 70 1.6× 28 609
Priyadarshini Chakrabarti 407 0.9× 360 1.1× 277 1.0× 18 0.4× 84 2.0× 28 499
Boyko Neov 398 0.9× 343 1.0× 361 1.2× 21 0.5× 41 1.0× 29 506
Ana R. Cabrera 456 1.0× 351 1.1× 251 0.9× 57 1.3× 110 2.6× 27 544
Eric C. Mussen 452 1.0× 326 1.0× 261 0.9× 24 0.6× 99 2.3× 14 476
Wagner Gonzaga Gonçalves 417 0.9× 216 0.6× 163 0.6× 154 3.6× 227 5.3× 29 589
Dorothy B. Prest 414 0.9× 327 1.0× 254 0.9× 47 1.1× 69 1.6× 17 520
Yamandú Mendoza 567 1.2× 478 1.4× 418 1.4× 12 0.3× 76 1.8× 34 613

Countries citing papers authored by Daniele Alberoni

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Alberoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Alberoni

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