Ivan Pecorelli

678 citations
31 papers · 492 · h-index 13

Impact in

Papers in

    • Pesticide Residue Analysis and Safety 14
    • Mycotoxins in Agriculture and Food 13
    • Wheat and Barley Genetics and Pathology 7

Ivan Pecorelli

28 papers receiving 470 citations

Peers

Ivan Pecorelli
Comparison fields: 5 of 73
  • Analytical Chemistry 117
  • Food Science 212
  • Animal Science and Zoology 94
  • Pollution 77
  • Pharmacology 89
Replace Thomas Bessaire with:
Thomas Bessaire Switzerland
Özgür Gölge Türkiye
E. Lindfors Finland
Eugênia Azevedo Vargas Brazil
M.M. Aguilera-Luiz Spain
Laura Fioroni Italy
Fréderic Dumoulin Belgium
Małgorzata Olejnik Poland
Qingkui Fang China
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Pecorelli

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Pecorelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Pecorelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan Pecorelli Line = papers co-authored together Ivan Pecorelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200394
2 200363
3 200833
4 201930
5 202127
6 201927
7 200122
8 202221
9 202021
10 201720
11 201819
12 202117
13 201912
14 202012
15 200412
16 202011
17 201310
18 20248
19 20236
20 20215

About Ivan Pecorelli

Ivan Pecorelli is a scholar working on Food Science, Plant Science, Insect Science, Animal Science and Zoology and Pollution, having authored 31 papers that have together received 492 indexed citations. Recurring topics across this work include Pesticide Residue Analysis and Safety (14 papers), Mycotoxins in Agriculture and Food (13 papers), Insect and Pesticide Research (8 papers), Wheat and Barley Genetics and Pathology (7 papers), Pesticide and Herbicide Environmental Studies (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Analytical Chemistry and Chromatography (3 papers) and Coccidia and coccidiosis research (2 papers). The work is most often cited by research in Analytical Chemistry (117 citations), Food Science (212 citations), Animal Science and Zoology (94 citations), Pollution (77 citations) and Pharmacology (89 citations). Ivan Pecorelli has collaborated with scholars based in Italy and Belgium. Frequent co-authors include Roberta Galarini, Laura Fioroni, Raffaella Branciari, A. Floridi, Rossana Roila, David Ranucci, Andrea Valiani, Veronica M. T. Lattanzio, Biancamaria Ciasca and Arianna Piersanti. Their work appears in journals such as Foods, Toxins, Food Chemistry, Analytica Chimica Acta and Journal of Environmental Science and Health Part B.

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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