Michael Gradisar
- Experimental and Cognitive Psychology top 0.05%
- Cognitive Neuroscience top 0.5%
- Education top 0.2%
- Sociology and Political Science top 0.5%
- Endocrine and Autonomic Systems top 0.2%
- Co-authors
- Neralie CainHayley DohntMichelle A. ShortNicole LovatoLeon LackGreg GardnerKate BartelDaniel L. King
- Topics
- Sleep and related disorders (131 papers)Sleep and Wakefulness Research (94 papers)Circadian rhythm and melatonin (45 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPEDIATRICS
- Partner nations
- AustraliaUnited StatesNorway
In The Last Decade
Michael Gradisar
150 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Experimental and Cognitive Psychology 6.7k
- Cognitive Neuroscience 3.9k
- Education 2.8k
- Sociology and Political Science 2.2k
- Endocrine and Autonomic Systems 2.0k
Countries citing papers authored by Michael Gradisar
This map shows the geographic impact of Michael Gradisar'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 Michael Gradisar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gradisar more than expected).
Fields of papers citing papers by Michael Gradisar
This network shows the impact of papers produced by Michael Gradisar. 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 Michael Gradisar. The network helps show where Michael Gradisar may publish in the future.
Co-authorship network of co-authors of Michael Gradisar
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gradisar. A scholar is included among the top collaborators of Michael Gradisar 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 Michael Gradisar. Michael Gradisar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | A bidirectional model of sleep and technology use: A theoretical review of How much, for whom, and which mechanismsbreakdown → | 31 |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 25 | |
| 12 | 13 | |
| 13 | 22 | |
| 14 | 33 | |
| 15 | 18 | |
| 16 | 11 | |
| 17 | 14 | |
| 18 | The Sleep and Technology Use of Americans: Findings from the National Sleep Foundation’s 2011 Sleep in America Pollbreakdown → | 347 |
| 19 | 175 | |
| 20 | 196 |
About Michael Gradisar
Michael Gradisar is a scholar working on Experimental and Cognitive Psychology, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 154 papers that have together received 9.8k indexed citations. Recurring topics across this work include Sleep and related disorders (131 papers), Sleep and Wakefulness Research (94 papers) and Circadian rhythm and melatonin (45 papers). The work is most often cited by research in Experimental and Cognitive Psychology (6.7k citations), Endocrine and Autonomic Systems (2.0k citations) and Cognitive Neuroscience (3.9k citations). Michael Gradisar has collaborated with scholars based in Australia, United States and Norway. Frequent co-authors include Neralie Cain, Hayley Dohnt, Michelle A. Short, Nicole Lovato, Leon Lack, Greg Gardner, Kate Bartel, Daniel L. King, Paul Delfabbro and Paul Williamson. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.
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.