Matteo Dainese
- Ecology, Evolution, Behavior and Systematics top 1%
- Plant Science top 5%
- Nature and Landscape Conservation top 2%
- Insect Science top 1%
- Ecology top 5%
- Co-authors
- Tommaso SitziaLorenzo MariniLech WosinskiJuri NascimbeneIngolf Steffan‐DewenterMin QiuZiyang ZhangNian‐Feng Wan
- Topics
- Ecology and Vegetation Dynamics Studies (31 papers)Plant and animal studies (24 papers)Photonic and Optical Devices (22 papers)
- Cited by
- Nature and Landscape ConservationInsect ScienceEcology, Evolution, Behavior and Systematics
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaApplied Physics Letters
In The Last Decade
Matteo Dainese
76 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Ecology, Evolution, Behavior and Systematics 905
- Plant Science 729
- Nature and Landscape Conservation 654
- Insect Science 630
- Ecology 276
Countries citing papers authored by Matteo Dainese
This map shows the geographic impact of Matteo Dainese'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 Matteo Dainese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Dainese more than expected).
Fields of papers citing papers by Matteo Dainese
This network shows the impact of papers produced by Matteo Dainese. 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 Matteo Dainese. The network helps show where Matteo Dainese may publish in the future.
Co-authorship network of co-authors of Matteo Dainese
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Dainese. A scholar is included among the top collaborators of Matteo Dainese 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 Matteo Dainese. Matteo Dainese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pesticides have negative effects on non-target organismsbreakdown → | 65 |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 14 | |
| 7 | 39 | |
| 8 | 6 | |
| 9 | 18 | |
| 10 | 42 | |
| 11 | 42 | |
| 12 | 125 | |
| 13 | 17 | |
| 14 | 26 | |
| 15 | 78 | |
| 16 | 25 | |
| 17 | 1 | |
| 18 | 43 | |
| 19 | 94 | |
| 20 | 21 |
About Matteo Dainese
Matteo Dainese is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (31 papers), Plant and animal studies (24 papers) and Photonic and Optical Devices (22 papers). The work is most often cited by research in Nature and Landscape Conservation (654 citations), Insect Science (630 citations) and Ecology, Evolution, Behavior and Systematics (905 citations). Matteo Dainese has collaborated with scholars based in Italy, Sweden and Germany. Frequent co-authors include Tommaso Sitzia, Lorenzo Marini, Lech Wosinski, Juri Nascimbene, Ingolf Steffan‐Dewenter, Min Qiu, Ziyang Zhang, Nian‐Feng Wan, Luca Bragazza and Thomas Campagnaro. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.
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.