2(top 8%)
Impact Factor
2.1(top 8%)
extended IF
53(top 7%)
citing journals
citing authors

Most Cited Articles of Lighting Research and Technology

Useful daylight illuminance: a new paradigm for assessing daylight in buildings2005293
Monitoring manual control of electric lighting and blinds2003200
Daylight metrics and energy savings2009177
Modelling the spectral sensitivity of the human circadian system2012174
The performance of occupancy-based lighting control systems: A review2010157
Evaluation of high dynamic range photography as a luminance data acquisition system2006156
Lighting for work: a review of visual and biological effects2004152
The ‘adaptive zone’ – A concept for assessing discomfort glare throughout daylit spaces2012136
Lighting appraisal, well-being and performance in open-plan offices: A linked mechanisms approach2008129
Lighting quality and office work: two field simulation experiments2006115
Validation of a lighting simulation program under real sky conditions1995114
View and discomfort glare from windows2007110
Daylight and health: A review of the evidence and consequences for the built environment2015109
A proposed unified system of photometry2004103
Simulation of annual daylighting profiles for internal illuminance2000103
Melatonin, cortisol, EEG, ECG and subjective comfort in healthy humans: Impact of two fluorescent lamp types at two light intensities1993100
A review of colour rendering indices and their application to commercial light sources200497
Perceptions of safety at night in different lighting conditions200097
Circadian photobiology: an emerging framework for lighting practice and research200296
Comparisons of three practical field devices used to measure personal light exposures and activity levels201395
Occupant use of switching and dimming controls in offices200695
Appearance of lit environment and its relevance in lighting design: Experimental study199495
Light as a circadian stimulus for architectural lighting201892
Preferred luminous conditions in open-plan offices: research and practice recommendations200090
A framework for predicting the non-visual effects of daylight – Part I: photobiology- based model201288