Amit Green

567 citations
19 papers · 411 · h-index 9

Impact in

Papers in

Amit Green

17 papers receiving 402 citations

Peers

Amit Green
Comparison fields: 5 of 73
  • Endocrine and Autonomic Systems 114
  • Experimental and Cognitive Psychology 127
  • Sensory Systems 30
  • Physiology 107
  • Cognitive Neuroscience 77
Replace Matthew R. Ebben with:
Matthew R. Ebben United States
Riko Kobayashi Japan
Agnès Daurat France
Kirsi‐Marja Zitting United States
B Thorleifsdottir Iceland
Parisa Vidafar Australia
Marie‐Françoise Vecchierini France
J Ulfberg Sweden
Miguel Meira e Cruz Portugal
Yasuko Katayose Japan
Amit Green relative to Matthew R. Ebben United States Matthew R. Ebben's profile →
Citations per field
00.5×3.8×
Matthew R. Ebben · 1×
Citations per year

Countries citing papers authored by Amit Green

Since Specialization
Citations

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

Fields of papers citing papers by Amit Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Amit Green, 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 Green Line = papers co-authored together Amit Green links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2017112
2 200965
3 200958
4 200656
5 202026
6 200020
7 201917
8 201717
9 202210
10 20218
11 20188
12 20204
13 20204
14 20202
15 20162
16 20211
17
Functional Consequences of Light Treatment in Healthy Older Adults Living in Residential Facility
20181
18 20200
19 20240

About Amit Green

Amit Green is a scholar working on Experimental and Cognitive Psychology, Endocrine and Autonomic Systems, Physiology, Cognitive Neuroscience and Global and Planetary Change, having authored 19 papers that have together received 411 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (6 papers), Sleep and related disorders (6 papers), Circadian rhythm and melatonin (5 papers), Impact of Light on Environment and Health (4 papers), Sleep and Wakefulness Research (4 papers), Olfactory and Sensory Function Studies (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Diverse Approaches in Healthcare and Education Studies (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (114 citations), Experimental and Cognitive Psychology (127 citations), Sensory Systems (30 citations), Physiology (107 citations) and Cognitive Neuroscience (77 citations). Amit Green has collaborated with scholars based in Israel. Frequent co-authors include Y. Dagan, Yaron Dagan, Abraham Haim, Mairav Cohen‐Zion, Julia Doljansky, Yonatan Lahav, Lee Sela, Noam Sobel, Anat Arzi and Shlomi Barak. Their work appears in journals such as Chronobiology International, Sleep And Breathing, SLEEP, Traffic Injury Prevention and Sleep Medicine.

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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