Amit Lerner

920 citations
22 papers · 654 indexed · h-index 12

Impact in

Papers in

Amit Lerner

22 papers receiving 622 citations

Peers

Amit Lerner
Comparison fields: 5 of 91
  • Global and Planetary Change 368
  • Endocrine and Autonomic Systems 72
  • Ecology, Evolution, Behavior and Systematics 175
  • Ecological Modeling 37
  • Oceanography 70
Replace John M. VandenBrooks with:
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Amit Lerner relative to John M. VandenBrooks United States John M. VandenBrooks's profile →
Citations per field
00.5×4.9×
John M. VandenBrooks · 1×
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019162
2 200889
3 199076
4 201756
5 200849
6 201340
7 201133
8 201128
9 199725
10 201115
11 201114
12 198113
13 201211
14 201410
15
Empirical model for electron density distribution in the mid-latitude ionosphere D region
19927
16 20197
17 19795
18 20185
19 20163
20 20173

About Amit Lerner

Amit Lerner is a scholar working on Global and Planetary Change, Oceanography, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Ecology, having authored 22 papers that have together received 654 indexed citations. Recurring topics across this work include Marine and coastal ecosystems (4 papers), Cephalopods and Marine Biology (3 papers), Marine and fisheries research (3 papers), Ionosphere and magnetosphere dynamics (3 papers), Atmospheric aerosols and clouds (3 papers), Earthquake Detection and Analysis (3 papers), Fish biology, ecology, and behavior (2 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Global and Planetary Change (368 citations), Endocrine and Autonomic Systems (72 citations), Ecology, Evolution, Behavior and Systematics (175 citations), Ecological Modeling (37 citations) and Oceanography (70 citations). Amit Lerner has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Nadav Shashar, Carynelisa Erlick, William L. Woodley, Daniel Rosenfeld, Daniel T. Lindsey, Guy Kelman, David Iluz, Shai Sabbah, Naomi Sivan and Yehudah L. Werner. Their work appears in journals such as Scientific Reports, Applied Optics, Philosophical Transactions of the Royal Society B Biological Sciences, 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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