Evolution of Sensor Research for Clarifying the Dynamics and Properties of Future Directions

Coccia, Mario; Roshani, Saeed; Mosleh, Melika

doi:10.3390/s22239419

Cited by 25 publications

(7 citation statements)

References 74 publications

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“…of discoveries, new techniques and concepts in science and society (Coccia, 2021(Coccia, , 2022Coccia et al, 2021Coccia et al, , 2022Coccia et al, , 2022a. Science is a complex adaptive system of inter-related research fields and disciplines in continuos evolution; the analysis here considers differences of research fields in a context of basic versus applied sciences as suggested by scientific literature (Coccia & Wang, 2016).…”

Section: Research Papersmentioning

confidence: 99%

General laws of funding for scientific citations: how citations change in funded and unfunded research between basic and applied sciences

Coccia,

Roshani

2024

Journal of Data and Information Science

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Purpose The goal of this study is to analyze the relationship between funded and unfunded papers and their citations in both basic and applied sciences. Design/methodology/approach A power law model analyzes the relationship between research funding and citations of papers using 831,337 documents recorded in the Web of Science database. Findings The original results reveal general characteristics of the diffusion of science in research fields: a) Funded articles receive higher citations compared to unfunded papers in journals; b) Funded articles exhibit a super-linear growth in citations, surpassing the increase seen in unfunded articles. This finding reveals a higher diffusion of scientific knowledge in funded articles. Moreover, c) funded articles in both basic and applied sciences demonstrate a similar expected change in citations, equivalent to about 1.23%, when the number of funded papers increases by 1% in journals. This result suggests, for the first time, that funding effect of scientific research is an invariant driver, irrespective of the nature of the basic or applied sciences. Originality/value This evidence suggests empirical laws of funding for scientific citations that explain the importance of robust funding mechanisms for achieving impactful research outcomes in science and society. These findings here also highlight that funding for scientific research is a critical driving force in supporting citations and the dissemination of scientific knowledge in recorded documents in both basic and applied sciences. Practical implications This comprehensive result provides a holistic view of the relationship between funding and citation performance in science to guide policymakers and R&D managers with science policies by directing funding to research in promoting the scientific development and higher diffusion of results for the progress of human society.

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Section: Research Papersmentioning

confidence: 99%

General laws of funding for scientific citations: how citations change in funded and unfunded research between basic and applied sciences

Coccia,

Roshani

2024

Journal of Data and Information Science

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“…In order to position our theory in a manner that displays similarities and differences with existing approaches, a critical review of accepted frameworks in the evolution of science and technology is presented here. Quantitative works on emergence and evolution of disciplines are scarce, and this aspect is in part due to the difficulty in detecting and measuring basic sources of scientific change [7,[29][30][31][32]. Many theories of scientific development have been inspired by the notion of paradigm shifts associated with anomalies and contradictory results in science [33].…”

Section: Critique Of Current Theories In Technological Evolution: Inc...mentioning

confidence: 99%

The General Theory of Scientific Variability for Technological Evolution

Coccia

2024

Sci

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The proposed general theory of scientific variability for technological evolution explains one of the drivers of technological change for economic progress in human society. Variability is the predisposition of the elements in systems to assume different values over time and space. In biology, the variability is basic to explaining differences and development in organisms. In economics of technical change, the effects of variability within research fields on evolutionary dynamics of related technologies are unknown. In a broad analogy with the principles of biology, suggested theoretical framework here can clarify a basic driver of technological evolution: the variability within research fields can explain the dynamics of scientific development and technological evolution. The study sees whether statistical evidence supports the hypothesis that the rate of growth of scientific and technological fields can be explained by the level of variability within scientific fields. The validation is based on emerging research fields in quantum technologies: quantum imaging, quantum meteorology, quantum sensing, and quantum optics. Statistical evidence seems in general to support the hypothesis stated that the rate of growth can be explained by the level of scientific variability within research fields, measured with the relative entropy (indicating the dispersion of scientific topics in a research field underlying a specific technology). Nonparametric correlation with Spearman’s rho shows a positive coefficient of 0.80 between entropy measures and rates of growth between scientific and technological fields. The linear model of the relation between rate of growth and scientific variability reveals a coefficient of regression equal to 1.63 (R2 = 0.60). The findings here suggest a general law that variability within research fields positively drives scientific development and technological evolution. In particular, a higher variability within research fields can support a high rate of growth in scientific development and technological evolution. The proposed general theory of scientific variability is especially relevant in turbulent environments of technology-based competition to clarify a basic determinant of technological development to design strategies of technological forecasting and management of promising innovations.

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“…The trajectory of mechatronics is closely linked to the evolution of sensor technologies, as elucidated by Coccia et al (2022). Over the past three decades, sensor research has evolved from basic applications to more complex systems, including wireless, biosensors, and optical sensors.…”

Section: Evolutionary Trends and Future Directionsmentioning

confidence: 99%

Mechatronics in modern industrial applications: Delving into the integration of electronics, mechanics, and informatics

Abimbola Oluwatoyin Adegbite,

Chinedu Nnamdi Nwasike,

Nwabueze Kelvin Nwaobia

et al. 2023

World J. Adv. Res. Rev.

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This study delves into the integration of electronics, mechanics, and informatics within the realm of mechatronics, emphasizing its pivotal role in modern industrial applications. The primary objective is to dissect the synergistic interplay of these disciplines and assess their collective impact on various industrial sectors. Employing a systematic literature review as the core methodology, the research draws on a wide array of peer-reviewed articles and academic journals, focusing on publications from the last two decades to ensure relevance and contemporaneity. Key findings reveal that mechatronics has significantly evolved from its conceptual inception to a cornerstone technology in industries such as manufacturing, automotive, and healthcare. The study highlights the advancements in mechatronic systems, including the integration of AI and IoT, which have led to enhanced efficiency, precision, and adaptability in industrial processes. Furthermore, the research identifies the economic, technological, and environmental impacts of these systems, underscoring their role in driving innovation and sustainability. The study concludes with actionable recommendations for industry stakeholders and policymakers, emphasizing the need for continuous investment in R&D, workforce training, and the development of ethical standards and regulations. It also proposes future research directions, particularly focusing on the scalability, sustainability, and long-term societal impacts of mechatronic systems. This research contributes to a deeper understanding of mechatronics in the industrial domain, offering insights into its current applications and future potential.

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Evolution of Sensor Research for Clarifying the Dynamics and Properties of Future Directions

Cited by 25 publications

References 74 publications

General laws of funding for scientific citations: how citations change in funded and unfunded research between basic and applied sciences

General laws of funding for scientific citations: how citations change in funded and unfunded research between basic and applied sciences

The General Theory of Scientific Variability for Technological Evolution

Mechatronics in modern industrial applications: Delving into the integration of electronics, mechanics, and informatics

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