Pablo Robles-Granda
Impact in
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- Sleep and related disorders
- Mental Health Research Topics
- Sleep and Work-Related Fatigue
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- Digital Mental Health Interventions
Papers in
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- Mental Health Research Topics 3
- Sleep and related disorders 2
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- Context-Aware Activity Recognition Systems 2
- Co-authors
- Stephen M. Mattingly (5 shared papers)Aaron Striegel (5 shared papers)Gonzalo J. Martinez (5 shared papers)Gloria Mark (4 shared papers)Ted Grover (3 shared papers)Talayeh Aledavood (2 shared papers)Kari Nies (1 shared paper)Nitesh V. Chawla (3 shared papers)
- Journals
- JMIR mhealth and uhealth (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)npj Digital Medicine (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesFinlandIndia
In The Last Decade
Pablo Robles-Granda
8 papers receiving 173 citations
Peers
Comparison fields: 5 of 57
- Experimental and Cognitive Psychology 78
- Applied Psychology 17
- Endocrine and Autonomic Systems 18
- Clinical Psychology 20
- Cognitive Neuroscience 19
Countries citing papers authored by Pablo Robles-Granda
This map shows the geographic impact of Pablo Robles-Granda'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 Pablo Robles-Granda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Robles-Granda more than expected).
Fields of papers citing papers by Pablo Robles-Granda
This network shows the impact of papers produced by Pablo Robles-Granda. 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 Pablo Robles-Granda. The network helps show where Pablo Robles-Granda may publish in the future.
Co-authors
The 24 scholars most cited alongside Pablo Robles-Granda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 76 | |
| 2 | 2019 | 30 | |
| 3 | 2022 | 26 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 15 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 2 | |
| 8 | 2025 | 1 |
About Pablo Robles-Granda
Pablo Robles-Granda is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Social Psychology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 174 indexed citations. Recurring topics across this work include Mental Health Research Topics (3 papers), Context-Aware Activity Recognition Systems (2 papers), Sleep and related disorders (2 papers), Circadian rhythm and melatonin (1 paper), Mental Health via Writing (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Neural dynamics and brain function (1 paper) and Heart Rate Variability and Autonomic Control (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (78 citations), Applied Psychology (17 citations), Endocrine and Autonomic Systems (18 citations), Clinical Psychology (20 citations) and Cognitive Neuroscience (19 citations). Pablo Robles-Granda has collaborated with scholars based in United States, Finland and India. Frequent co-authors include Stephen M. Mattingly, Aaron Striegel, Gonzalo J. Martinez, Gloria Mark, Ted Grover, Talayeh Aledavood, Kari Nies, Nitesh V. Chawla, Louis Faust and Tomasz Kajdanowicz. Their work appears in journals such as JMIR mhealth and uhealth, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Intelligent Systems and Technology, npj Digital Medicine 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.