Riva Tauman

4.3k citations
93 papers · 3.1k indexed · h-index 29

Impact in

Papers in

Riva Tauman

85 papers receiving 3.0k citations

Peers

Riva Tauman
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 1.9k
  • Physiology 2.2k
  • Experimental and Cognitive Psychology 553
  • Pulmonary and Respiratory Medicine 1.0k
  • Cognitive Neuroscience 565
Replace Noorjahan Ali with:
Noorjahan Ali United States
Sally Davidson Ward United States
Margot J. Davey Australia
Carole L. Marcus United States
Óscar Sans Capdevila United States
Manisha Witmans Canada
Susan L. Garetz United States
Carin Lamm United States
Frédéric Sériès Canada
Eva Svanborg Sweden
Riva Tauman relative to Noorjahan Ali United States Noorjahan Ali's profile →
Citations per field
00.5×3.6×
Noorjahan Ali · 1×
Citations per year

Countries citing papers authored by Riva Tauman

Since Specialization
Citations

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

Fields of papers citing papers by Riva Tauman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20250
5 20241
6 20240
7 20233
8 20232
9 20236
10 202312
11 202216
12 20205
13 202014
14 20189
15 201537
16 201140
17 201117
18 201170
19 200488
20 2004296

About Riva Tauman

Riva Tauman is a scholar working on Endocrine and Autonomic Systems, Physiology, Experimental and Cognitive Psychology, Cognitive Neuroscience and Pharmacy, having authored 93 papers that have together received 3.1k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (53 papers), Neuroscience of respiration and sleep (37 papers), Sleep and related disorders (21 papers), Sleep and Wakefulness Research (19 papers), Neonatal Respiratory Health Research (7 papers), Tracheal and airway disorders (6 papers), Asthma and respiratory diseases (5 papers) and Circadian rhythm and melatonin (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.9k citations), Physiology (2.2k citations), Experimental and Cognitive Psychology (553 citations), Pulmonary and Respiratory Medicine (1.0k citations) and Cognitive Neuroscience (565 citations). Riva Tauman has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include David Gozal, Louise M. O’Brien, Yakov Sivan, Anna Ivanenko, Michal Greenfeld, David Gozal, Laura D. Serpero, Óscar Sans Capdevila, Jyoti Krishna and Tanya Gulliver. Their work appears in journals such as Sleep Medicine, SLEEP, Journal of Clinical Sleep Medicine, Sleep And Breathing and CHEST Journal.

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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