It is of paramount importance to determine the level of stress that drivers face while driving and processing a large amount of information coming from their vehicle, other vehicles and the surrounding environment. This is essential to improve road safety, driver performance and driver well-being. In addition, it enables the design of new advanced driving assistance systems that are coupled to the driving profile of the vehicle user, which would reduce the costs associated with accidents, promoting the development of intelligent traffic systems. In this context, the present study employs a bibliometric analysis of biosignal acquisition systems to examine the neurological and physiological aspects of driving stress. Scientific publications related to the acquisition of biosignals, including brain activity, heart rate, eye movement, muscle electrical activity, and skin conductance, are investigated. After these signals are processed, it is possible to determine the person stress level. A bibliometric analysis enables the identification of research trends, the most influential authors, the most relevant journals, and the countries engaged in research on the subject. Furthermore, the most commonly utilized systems and equipment for biosignal acquisition are identified. This approach provides a comprehensive overview of the current state of research, which allows us to direct our future research and highlights the importance of technology in improving road safety and the driver well-being.