Amit Lerner

26 papers receiving 719 citations

Peers

Amit Lerner
Comparison fields: 5 of 92
  • Global and Planetary Change 397
  • Endocrine and Autonomic Systems 76
  • Ecology, Evolution, Behavior and Systematics 215
  • Ecological Modeling 41
  • Ecology 170
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András Barta Hungary
John M. VandenBrooks United States
Rachel Kehoe United Kingdom
David Cruse United Kingdom
R. Furgoni Italy
Kim S. Last United Kingdom
Elizabeth K. Perkin United States
Dan M. Duriscoe United States
Philip H. Thorson United States
Nataliya Rybnikova Israel
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Citations per field
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Citations per year

Countries citing papers authored by Amit Lerner

Since Specialization
Citations

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

Fields of papers citing papers by Amit Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amit Lerner, 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 Amit Lerner Line = papers co-authored together Amit Lerner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019172
2 200892
3 199085
4 201760
5 200858
6 201148
7 201347
8 201138
9 199726
10 201119
11 201118
12 198113
13 201212
14 201411
15 20148
16 20148
17
Empirical model for electron density distribution in the mid-latitude ionosphere D region
19927
18 20197
19 20166
20 20146

About Amit Lerner

Amit Lerner is a scholar working on Ecology, Global and Planetary Change, Ecology, Evolution, Behavior and Systematics, Oceanography and Insect Science, having authored 26 papers that have together received 758 indexed citations. Recurring topics across this work include Marine and coastal ecosystems (5 papers), Marine and fisheries research (3 papers), Atmospheric aerosols and clouds (3 papers), Ionosphere and magnetosphere dynamics (3 papers), Earthquake Detection and Analysis (3 papers), Plant and animal studies (3 papers), Cephalopods and Marine Biology (3 papers) and Fish biology, ecology, and behavior (2 papers). The work is most often cited by research in Global and Planetary Change (397 citations), Endocrine and Autonomic Systems (76 citations), Ecology, Evolution, Behavior and Systematics (215 citations), Ecological Modeling (41 citations) and Ecology (170 citations). Amit Lerner has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Nadav Shashar, Carynelisa Erlick, Daniel T. Lindsey, Daniel Rosenfeld, Guy Kelman, William L. Woodley, Shai Sabbah, David Iluz, Meir Broza and Nir Sapir. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Applied Optics, Scientific Reports, Biology Open and Journal of Geophysical Research Atmospheres.

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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