Emanuela Molinari
Affiliation Univesity of Edinburgh
Country United Kingdom
Scopus ID 57208207640
Documents 15
Citations 243
h-index 8
Subject Area Internet-based and other Remote Data Acquisition
Event Global Sensor Awards
ORCID 0000-0003-2254-0852

Best Researcher Award

Emanuela Molinari
Univesity of Edinburgh, United Kingdom.


Emanuela Molinari
is affiliated with the Univesity of Edinburgh, United Kingdom, and is recognized for scholarly contributions in the field of Internet-based and other Remote Data Acquisition. Her research activities, publication record, citation performance, and academic engagement demonstrate a sustained commitment to advancing scientific understanding within sensor-enabled and remote data acquisition systems.[1]

Abstract

This academic recognition profile summarizes the research achievements, scholarly influence, and professional contributions of Emanuela Molinari. The profile highlights publication productivity, citation performance, interdisciplinary engagement, and research relevance within Internet-based and remote data acquisition technologies. The documented achievements support consideration for recognition through the Global Sensor Awards program.[1][2]

Keywords

Internet-based Data Acquisition, Remote Sensing Systems, Sensor Networks, Digital Monitoring, Data Analytics, Research Excellence, Scientific Impact, Global Sensor Awards.

Introduction

Research in remote data acquisition and internet-enabled sensing technologies continues to play a critical role in modern scientific and industrial ecosystems. Emanuela Molinari has contributed to this evolving field through peer-reviewed publications, collaborative investigations, and knowledge dissemination activities that support advancements in data collection, monitoring, and intelligent information processing systems.[1]

Research Profile

According to available scholarly indexing records, Emanuela Molinari has authored 15 indexed documents and accumulated 243 citations from 210 citing documents. The researcher currently maintains an h-index of 8, indicating measurable academic visibility and sustained engagement within the scientific community.[1]

The research portfolio reflects participation in interdisciplinary investigations involving data acquisition systems, digital sensing frameworks, and analytical methodologies applicable to contemporary sensor technologies. Such activities contribute to the broader development of reliable and scalable information infrastructures.[2]

Research Contributions

The documented body of work demonstrates contributions to Internet-based and other Remote Data Acquisition research through scholarly publication, collaborative investigation, and dissemination of technical findings. Research outcomes have supported understanding of advanced sensing environments and information-driven decision-making systems.[1]

A notable aspect of the research profile is the integration of data acquisition methodologies with emerging digital technologies, supporting innovation across academic and applied research domains. These contributions align with ongoing developments in connected sensor ecosystems and intelligent monitoring platforms.[3]

Publications

The publication record indexed under Scopus reflects consistent scholarly activity and peer-reviewed dissemination. Publications have contributed to discussions involving remote sensing infrastructures, internet-enabled monitoring systems, and digital data management strategies.[1]

  • Peer-reviewed journal articles.
  • Collaborative interdisciplinary research outputs.
  • Research addressing data acquisition and monitoring systems.
  • Studies supporting sensor-enabled information infrastructures.

Research Impact

Citation metrics provide evidence that the research outputs have been recognized and referenced by the broader academic community. With 243 citations and an h-index of 8, the researcher demonstrates measurable influence within relevant scientific disciplines.[1]

The impact extends beyond publication metrics by contributing to knowledge generation, methodological development, and scientific collaboration. These factors collectively support the advancement of research quality and innovation within sensor-related domains.[2]

Award Suitability

Based on the available scholarly indicators, Emanuela Molinari demonstrates characteristics commonly associated with research excellence, including publication productivity, citation visibility, interdisciplinary engagement, and contributions to Internet-based and remote data acquisition research. These achievements support consideration for the Best Researcher Award within the Global Sensor Awards framework.[1][4]

Conclusion

Emanuela Molinari’s scholarly profile reflects meaningful participation in contemporary research concerning Internet-based and remote data acquisition technologies. Through publication output, citation impact, and scientific engagement, the researcher has contributed to ongoing advancements in sensor-related disciplines and demonstrates qualifications consistent with academic recognition programs.[1]

References

  1. Elsevier. (n.d.). Scopus Author Details: Emanuela Molinari, Author ID 57208207640. Scopus Database.
    https://www.scopus.com/authid/detail.uri?authorId=57208207640
  2. ORCID. (n.d.). ORCID Record for Emanuela Molinari.
    https://orcid.org/0000-0003-2254-0852
  3. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: A survey.
  4. Global Sensor Awards. (n.d.). Award Program Information and Recognition Framework.
    https://globalsensorawards.com/
Emanuela Molinari | Internet-based and other Remote Data Acquisition | Best Researcher Award

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