Ivan Pecorelli

728 citations
35 papers · 615 · h-index 15

Impact in

Papers in

Ivan Pecorelli

34 papers receiving 584 citations

Peers

Ivan Pecorelli
Comparison fields: 5 of 76
  • Food Science 254
  • Analytical Chemistry 122
  • Animal Science and Zoology 98
  • Pollution 82
  • Plant Science 224
Replace Els Van Pamel with:
Els Van Pamel Belgium
Eugênia Azevedo Vargas Brazil
Erja Lindfors Finland
Fréderic Dumoulin Belgium
Piotr Jedziniak Poland
Qingkui Fang China
M. Naceur Haouet Italy
Patrícia Amaral Souza Tette Brazil
Tatjana Baltić Serbia
Ivan Pecorelli relative to Els Van Pamel Belgium Els Van Pamel's profile →
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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200395
2 200370
3 200838
4 201834
5 201931
6 202130
7 201929
8 202225
9 200125
10 202122
11 201722
12 202021
13 201821
14 201916
15 202015
16 202013
17 200412
18 201711
19 201311
20 202411

About Ivan Pecorelli

Ivan Pecorelli is a scholar working on Food Science, Insect Science, Plant Science, Animal Science and Zoology and Analytical Chemistry, having authored 35 papers that have together received 615 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (17 papers), Pesticide Residue Analysis and Safety (14 papers), Insect and Pesticide Research (9 papers), Wheat and Barley Genetics and Pathology (8 papers), Pesticide and Herbicide Environmental Studies (4 papers), Analytical Chemistry and Chromatography (3 papers), Analytical Methods in Pharmaceuticals (3 papers) and Plant and fungal interactions (2 papers). The work is most often cited by research in Food Science (254 citations), Analytical Chemistry (122 citations), Animal Science and Zoology (98 citations), Pollution (82 citations) and Plant Science (224 citations). Ivan Pecorelli has collaborated with scholars based in Italy, Belgium and Argentina. Frequent co-authors include Roberta Galarini, Laura Fioroni, Rossana Roila, Raffaella Branciari, A. Floridi, David Ranucci, Biancamaria Ciasca, Andrea Valiani, Veronica M. T. Lattanzio and Michele Solfrizzo. Their work appears in journals such as Foods, Toxins, Journal of Environmental Science and Health Part B, Food Chemistry and Journal of AOAC International.

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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