Eric C. Landsness

2.2k citations
38 papers · 1.5k · h-index 17

Impact in

Papers in

Eric C. Landsness

36 papers receiving 1.5k citations

Peers

Eric C. Landsness
Comparison fields: 5 of 97
  • Cognitive Neuroscience 1.1k
  • Experimental and Cognitive Psychology 484
  • Endocrine and Autonomic Systems 230
  • Anesthesiology and Pain Medicine 78
  • Cellular and Molecular Neuroscience 227
Replace Chris Dodds with:
Chris Dodds United Kingdom
P.J.M. Cluitmans Netherlands
Fu‐Zen Shaw Taiwan
Francesca Siclari Switzerland
Thomas Andrillon France
Mandana Modirrousta Canada
Giancarlo Vanini United States
Ian G. Campbell United States
Eugene Kronberg United States
Chantal Delon‐Martin France
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Citations per field
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Citations per year

Countries citing papers authored by Eric C. Landsness

Since Specialization
Citations

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

Fields of papers citing papers by Eric C. Landsness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric C. Landsness. 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 Eric C. Landsness. The network helps show where Eric C. Landsness may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011289
2 2019240
3 2016113
4 2011104
5 2011100
6 202187
7 201178
8 201267
9 201066
10 201249
11 201044
12 201236
13 201933
14 201128
15 202127
16 201124
17 201118
18
Attention modulation regulates both motor and non-motor performance: a high-density EEG study in Parkinson's disease.
201015
19 202211
20 201311

About Eric C. Landsness

Eric C. Landsness is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (22 papers), EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (15 papers), Sleep and related disorders (10 papers), Functional Brain Connectivity Studies (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Circadian rhythm and melatonin (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Experimental and Cognitive Psychology (484 citations), Endocrine and Autonomic Systems (230 citations), Anesthesiology and Pain Medicine (78 citations) and Cellular and Molecular Neuroscience (227 citations). Eric C. Landsness has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Giulio Tononi, Brady A. Riedner, Brendan P. Lucey, Jennifer McLeland, John C. Morris, Michael R. Goldstein, Cristina D. Toedebusch, David M. Holtzman, Ruth M. Benca and Mélanie Boly. Their work appears in journals such as SLEEP, Clinical Neurophysiology, Brain, Journal of Affective Disorders and Neurophotonics.

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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