Version 1
: Received: 20 June 2022 / Approved: 21 June 2022 / Online: 21 June 2022 (10:36:55 CEST)
Version 2
: Received: 3 October 2022 / Approved: 5 October 2022 / Online: 5 October 2022 (15:28:11 CEST)
Coccia, M.; Roshani, S.; Mosleh, M. Evolution of Sensor Research for Clarifying the Dynamics and Properties of Future Directions. Sensors2022, 22, 9419.
Coccia, M.; Roshani, S.; Mosleh, M. Evolution of Sensor Research for Clarifying the Dynamics and Properties of Future Directions. Sensors 2022, 22, 9419.
Coccia, M.; Roshani, S.; Mosleh, M. Evolution of Sensor Research for Clarifying the Dynamics and Properties of Future Directions. Sensors2022, 22, 9419.
Coccia, M.; Roshani, S.; Mosleh, M. Evolution of Sensor Research for Clarifying the Dynamics and Properties of Future Directions. Sensors 2022, 22, 9419.
Abstract
How do sensor research and technologies grow over time? This paper applies the network analysis with a new computational approach to map the structure and evolution of sensor research and technologies over a 30-year time frame (1990-2020).The goal of this study is to analyze the evolution of sensor research for forecasting emerging scientific and technological trajectories. Results show that the scientific interaction within ecosystem (represented with networks) of sensor generates a co-evolution of scientific fields supporting the accelerated growth of different technological tra-jectories, such as: wireless sensors, fiber optic and optical sensors, gas sensors and biosensors. These results suggest main theoretical implications that explain the evolution of sensor research with critical aspects of innovation management to support R&D investments towards new technological trajectories having a high potential of growth.
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.