Robert S. Waters

2.1k citations
71 papers · 1.8k · h-index 25

Impact in

Papers in

Robert S. Waters

71 papers receiving 1.7k citations

Peers

Robert S. Waters
Comparison fields: 5 of 123
  • Neurology 342
  • Cellular and Molecular Neuroscience 754
  • Cognitive Neuroscience 791
  • Anesthesiology and Pain Medicine 114
  • Developmental Neuroscience 78
Replace Lindsay H. Burns with:
Lindsay H. Burns United States
Kohei Koga Japan
Boris V. Safronov Portugal
Suhayl J. Jabbur Lebanon
Lowell E. White United States
Wiel Honig Netherlands
Joseph C. Biedenkapp United States
Jean Marie Besson France
Tanemichi Chiba Japan
Pieter J. Dederen Netherlands
Robert S. Waters relative to Lindsay H. Burns United States Lindsay H. Burns's profile →
Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Robert S. Waters

Since Specialization
Citations

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

Fields of papers citing papers by Robert S. Waters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert S. Waters. 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 Robert S. Waters. The network helps show where Robert S. Waters may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 199893
3 200187
4 200179
5 197678
6 199176
7 199571
8 199157
9 198254
10 198551
11 199048
12 200546
13 199342
14 200137
15 198437
16 200234
17 198934
18 199634
19 198232
20 200529

About Robert S. Waters

Robert S. Waters is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Pediatrics, Perinatology and Child Health and Biomedical Engineering, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (26 papers), Neuroscience and Neural Engineering (20 papers), Transcranial Magnetic Stimulation Studies (18 papers), Neuroscience and Neuropharmacology Research (15 papers), Prenatal Substance Exposure Effects (7 papers), Birth, Development, and Health (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Muscle activation and electromyography studies (6 papers). The work is most often cited by research in Neurology (342 citations), Cellular and Molecular Neuroscience (754 citations), Cognitive Neuroscience (791 citations), Anesthesiology and Pain Medicine (114 citations) and Developmental Neuroscience (78 citations). Robert S. Waters has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Cheng X. Li, Hiroshi Asanuma, Robert C. Foehring, William A. Wilson, Chengxiang Li, Peter Arnold, Robert W. Dykes, Oleg V. Favorov, Juan Carlos Pineda and Asami Mori. Their work appears in journals such as Experimental Brain Research, Brain Research, Neuroreport, Biological Trace Element Research and Alcohol.

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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