| Sleep problems during COVID-19 pandemic and its’ association to psychological distress: A systematic review and meta-analysis Z Alimoradi, A Broström, HWH Tsang, MD Griffiths, S Haghayegh, ... EClinicalMedicine 36, 100916, 2021 | 314 | 2021 |
| Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis S Haghayegh, S Khoshnevis, MH Smolensky, KR Diller, RJ Castriotta Journal of Medical Internet Research 21 (11), e16273, 2019 | 302 | 2019 |
| Before-Bedtime Passive Body Heating By Warm Shower Or Bath To Improve Sleep: A Systematic Review And Meta-Analysis S Haghayegh, S Khoshnevis, MH Smolensky, KR Diller, RJ Castriotta Sleep Medicine Reviews 46, 124-135, 2019 | 104 | 2019 |
| A comprehensive guideline for Bland–Altman and intra class correlation calculations to properly compare two methods of measurement and interpret findings S Haghayegh, HA Kang, S Khoshnevis, MH Smolensky, KR Diller Physiological measurement 41 (5), 055012, 2020 | 74 | 2020 |
| Performance assessment of new-generation Fitbit technology in deriving sleep parameters and stages S Haghayegh, S Khoshnevis, MH Smolensky, KR Diller, RJ Castriotta Chronobiology International 37 (1), 47-59, 2020 | 48 | 2020 |
| Accuracy of PurePulse photoplethysmography technology of Fitbit Charge 2 for assessment of heart rate during sleep S Haghayegh, S Khoshnevis, MH Smolensky, KR Diller Chronobiology international 36 (7), 927-933, 2019 | 46 | 2019 |
| Performance comparison of different interpretative algorithms utilized to derive sleep parameters from wrist actigraphy data S Haghayegh, S Khoshnevis, MH Smolensky, KR Diller, RJ Castriotta Chronobiology international 36 (12), 1752-1760, 2019 | 37 | 2019 |
| Open-loop pulsating heat pipes charged with magnetic nanofluids: powerful candidates for future electronic coolers M Mohammadi, M Taslimifar, S Haghayegh, SK Hannani, MB Shafii, ... Nanoscale and Microscale Thermophysical Engineering 18 (1), 18-38, 2014 | 30* | 2014 |
| Application of deep learning to improve sleep scoring of wrist actigraphy S Haghayegh, S Khoshnevis, MH Smolensky, KR Diller Sleep Medicine 74, 235-241, 2020 | 23 | 2020 |
| Deep neural network sleep scoring using combined motion and heart rate variability data S Haghayegh, S Khoshnevis, MH Smolensky, KR Diller, RJ Castriotta Sensors 21 (1), 25, 2020 | 19 | 2020 |
| The Circadian Rhythm of Thermoregulation Modulates both the Sleep/Wake Cycle and 24 h Pattern of Arterial Blood Pressure S Haghayegh, MH Smolensky, S Khoshnevis, RC Hermida, RJ Castriotta, ... Comprehensive Physiology 11 (4), 2645-2658, 2021 | 10* | 2021 |
| Bioheat Transfer Basis of Human Thermoregulation: Principles and Applications LH Namisnak, S Haghayegh, S Khoshnevis, KR Diller Journal of Heat Transfer 144 (3), 031203, 2022 | 7 | 2022 |
| Novel temperature‐controlled sleep system to improve sleep: a p roof‐of‐concept study S Haghayegh, S Khoshnevis, MH Smolensky, RC Hermida, RJ Castriotta, ... Journal of Sleep Research, e13662, 2022 | 6 | 2022 |
| Approaches for assessing circadian rest-activity patterns using actigraphy in cohort and population-based studies C Gao, S Haghayegh, M Wagner, R Cai, K Hu, L Gao, P Li Current Sleep Medicine Reports 9 (4), 247-256, 2023 | 4 | 2023 |
| Relationship between pet ownership and risk of high depressive symptoms in adolescence and young adulthood M Żebrowska, S Strohmaier, C Westgarth, C Huttenhower, AC Erber, ... Journal of Affective Disorders 323, 554-561, 2023 | 4 | 2023 |
| 1196 Machine Learning Derived-Interpretative Algorithm Better Differentiates Sleep and Wake Epochs and Estimates Sleep Parameters from Wrist Actigraphy Data S Haghayegh, S Khoshnevis, MH Smolensky, KR Diller, RJ Castriotta Sleep 43 (Supplement_1), A457–A458, 2020 | 4 | 2020 |
| Experimental investigation on the effect of stimulating frequency on the reciprocating motion of mercury in a micro cavity S Abnavi, S Haghayegh, M Karmozdi, MB Shafii, A Salari Presented at the International Conference on Thermal, Material and …, 2012 | 4 | 2012 |
| The association between night shift work and breast cancer risk in the Finnish twins cohort E Schernhammer, L Bogl, C Hublin, S Strohmaier, M Zebrowska, A Erber, ... European Journal of Epidemiology 38 (5), 533-543, 2023 | 2 | 2023 |
| Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study S Haghayegh, K Hu, K Stone, S Redline, E Schernhammer Journal of Medical Internet Research 25, e40211, 2023 | 2 | 2023 |
| Rotating Night Shift Work and Bladder Cancer Risk in Women: Results of Two Prospective Cohort Studies S Haghayegh, Y Liu, Y Zhang, S Strohmaier, K Papantoniou, S Markt, ... International Journal of Environmental Research and Public Health 20 (3), 2202, 2023 | 2 | 2023 |
