Reut Shavit

423 total citations
14 papers, 306 citations indexed

About

Reut Shavit is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Reut Shavit has authored 14 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Insect Science, 5 papers in Plant Science and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Reut Shavit's work include Weed Control and Herbicide Applications (4 papers), Allelopathy and phytotoxic interactions (4 papers) and Insect-Plant Interactions and Control (4 papers). Reut Shavit is often cited by papers focused on Weed Control and Herbicide Applications (4 papers), Allelopathy and phytotoxic interactions (4 papers) and Insect-Plant Interactions and Control (4 papers). Reut Shavit collaborates with scholars based in Israel, United States and Germany. Reut Shavit's co-authors include Vered Tzin, Beery Yaakov, G Tobelem, Marie-Claude Laplace, Jean‐Marc Herbert, Jean‐Marc Zini, Évelyne Dupuy, Anuradha Singh, E. O. Kamenetskii and Michal Segoli and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Reut Shavit

14 papers receiving 300 citations

Peers

Reut Shavit
Comparison fields: 5 of 67
  • Plant Science 137
  • Molecular Biology 106
  • Insect Science 85
  • Hematology 64
  • Ecology, Evolution, Behavior and Systematics 31
Replace Eric R. Kalkman with:
Eric R. Kalkman United Kingdom
Richard K. Wilson United States
Tarryn Porter United Kingdom
Madeleine Meusburger Germany
Martina Lummer Germany
Risako Nakano Japan
Özgen Deniz United Kingdom
Jörg C. Heinrich New Zealand
Priti Kumari United States
Thomas Barnett United States
Eric R. Kalkman United Kingdom View profile →
Citations per field, relative to Reut Shavit
Reut Shavit · 1×
Citations per year, relative to Reut Shavit
Reut Shavit · 1×

Countries citing papers authored by Reut Shavit

Since Specialization
Citations

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

Fields of papers citing papers by Reut Shavit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reut Shavit

This figure shows the co-authorship network connecting the top 25 collaborators of Reut Shavit. A scholar is included among the top collaborators of Reut Shavit 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 Reut Shavit. Reut Shavit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 11
2 17
3 17
4 42
5 4
6 18
7 11
8 30
9 5
10 25
11 17
12 23
13 1
14 85

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026