Miriam Kishinevsky

24 total papers · 1.9k total citations
18 papers, 213 citations indexed

About

Miriam Kishinevsky is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Miriam Kishinevsky has authored 18 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Insect Science, 15 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Plant Science. Recurrent topics in Miriam Kishinevsky's work include Insect-Plant Interactions and Control (18 papers), Plant and animal studies (15 papers) and Plant Parasitism and Resistance (6 papers). Miriam Kishinevsky is often cited by papers focused on Insect-Plant Interactions and Control (18 papers), Plant and animal studies (15 papers) and Plant Parasitism and Resistance (6 papers). Miriam Kishinevsky collaborates with scholars based in Israel, United States and Brazil. Miriam Kishinevsky's co-authors include Tamar Keasar, Michal Segoli, Ally R. Harari, Elad Chiel, Éric Wajnberg, Rakefet Sharon, Efrat Gavish‐Regev, Avi Bar‐Massada, Anthony R. Ives and Graciela Valladares and has published in prestigious journals such as Science, Scientific Reports and Ecological Applications.

In The Last Decade

Miriam Kishinevsky

18 papers receiving 210 citations

Author Peers

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

Author Last Decade Papers Cites
Miriam Kishinevsky 185 114 92 27 15 18 213
George D. Hoffman 125 0.7× 109 1.0× 94 1.0× 41 1.5× 30 2.0× 21 187
Richard Hilton 230 1.2× 102 0.9× 140 1.5× 38 1.4× 21 1.4× 24 308
N.A. Berry 217 1.2× 142 1.2× 168 1.8× 33 1.2× 8 0.5× 16 290
Ines M.G. Vollhardt 254 1.4× 172 1.5× 135 1.5× 38 1.4× 19 1.3× 12 297
Ronnie Von dos Santos Veloso 179 1.0× 197 1.7× 80 0.9× 19 0.7× 24 1.6× 30 262
Paul A. Brown 159 0.9× 118 1.0× 110 1.2× 22 0.8× 41 2.7× 29 233
W. J. Parr 229 1.2× 96 0.8× 137 1.5× 29 1.1× 16 1.1× 13 265
Gary C. Chang 180 1.0× 107 0.9× 132 1.4× 39 1.4× 13 0.9× 13 229
Paulo R. P. Hofmann 254 1.4× 157 1.4× 103 1.1× 57 2.1× 17 1.1× 17 295
Elizabeth Rowen 200 1.1× 107 0.9× 187 2.0× 42 1.6× 19 1.3× 15 287

Countries citing papers authored by Miriam Kishinevsky

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Kishinevsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Kishinevsky

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