Ian G. Campbell

2.9k citations
52 papers · 2.2k indexed · h-index 30
Topics
Sleep and Wakefulness Research (41 papers)Sleep and related disorders (22 papers)EEG and Brain-Computer Interfaces (14 papers)

In The Last Decade

Ian G. Campbell

51 papers receiving 2.1k citations

Peers

Ian G. Campbell
Comparison fields: 5 of 95
  • Cognitive Neuroscience 1.8k
  • Experimental and Cognitive Psychology 1.2k
  • Endocrine and Autonomic Systems 579
  • Cellular and Molecular Neuroscience 387
  • Physiology 182
Replace Renate Wehrle with:
Renate Wehrle Germany
Géraldine Rauchs France
Joseph R. Winer United States
Satvinder Kaur United States
Dag Stenberg Finland
Robert Göder Germany
Eric C. Landsness United States
Pablo Torterolo Uruguay
Rafael J. Salín-Pascual Mexico
G. Saletu‐Zyhlarz Austria
Ian G. Campbell relative to Renate Wehrle Germany Renate Wehrle's profile →
Citations per field
00.5×1.5×
Renate Wehrle · 1×
Citations per year

Countries citing papers authored by Ian G. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Ian G. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian G. Campbell. 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 Ian G. Campbell. The network helps show where Ian G. Campbell may publish in the future.

Co-authorship network of co-authors of Ian G. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Ian G. Campbell. A scholar is included among the top collaborators of Ian G. Campbell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian G. Campbell. Ian G. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 14
3 3
4 53
5 54
6 82
7 36
8 45
9 34
10 10
11 34
12 35
13 41
14 66
15 60
16 8
17 2
18 10
19 58
20 43

About Ian G. Campbell

Ian G. Campbell is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Endocrine and Autonomic Systems, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (41 papers), Sleep and related disorders (22 papers) and EEG and Brain-Computer Interfaces (14 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.2k citations), Cognitive Neuroscience (1.8k citations) and Endocrine and Autonomic Systems (579 citations). Ian G. Campbell has collaborated with scholars based in United States, Georgia and Italy. Frequent co-authors include Irwin Feinberg, Nato Darchia, Lisa M. Higgins, Evan de Bie, J. M. Horowitz, M. J. Guinan, Kevin J. Grimm, Xin Tan, Nicole D. Armstrong and Laura Palagini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

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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