Miraç Eren | Remote Data Acquisition | Best Researcher Award

Best Researcher Award

Miraç Eren
Ondokuz Mayıs Üniversitesi
Miraç Eren
Affiliation Ondokuz Mayıs Üniversitesi
Country Turkey
Scopus ID 56011249400
Documents 19
Citations 550
h-index 5
Subject Area Remote Data Acquisition
Event World Science Awards
ORCID 0000-0002-5150-9144

The Best Researcher Award recognizes researchers whose scholarly activities demonstrate sustained research productivity, scientific contribution, and measurable academic impact. Miraç Eren of Ondokuz Mayıs Üniversitesi has developed a research profile associated with Remote Data Acquisition, supported by a record of indexed publications and documented scholarly citations. The available bibliometric indicators provide evidence of continuing participation in scientific research and dissemination.[1]

Abstract

Miraç Eren is a researcher affiliated with Ondokuz Mayıs Üniversitesi in Turkey whose scholarly profile is associated with Remote Data Acquisition. Research in this area encompasses the collection, transmission, processing, and interpretation of data from distributed or remotely located systems. The researcher’s available bibliometric record includes 19 indexed documents, 550 citations, and an h-index of 5, indicating measurable participation and visibility within the scientific literature.[1][2]

Keywords

  • Remote Data Acquisition
  • Data Acquisition Systems
  • Remote Sensing
  • Instrumentation
  • Data Communication
  • Scientific Research
  • Research Impact
  • World Science Awards

Introduction

Remote data acquisition involves obtaining measurements or observations from sensors, instruments, or distributed systems and transferring the resulting information to a location where it can be stored, analyzed, or acted upon. Such systems are relevant to engineering, environmental monitoring, industrial automation, healthcare, agriculture, and scientific instrumentation. Modern approaches increasingly integrate sensing technologies, communication networks, embedded systems, and computational analysis to improve the reliability and accessibility of remotely collected data.[3]

Research Profile

According to the provided Scopus information, Miraç Eren has authored 19 indexed documents, received 550 citations, and achieved an h-index of 5. These bibliometric measures provide quantitative indicators of research productivity and scholarly visibility. The affiliation with Ondokuz Mayıs Üniversitesi places the research within an established academic environment in Turkey.[1]

Research Contributions

Research in remote data acquisition contributes to the development of systems capable of collecting accurate information from geographically distributed environments. The field connects sensing, instrumentation, communications, data processing, and control technologies. Research contributions in this area can therefore support improved monitoring, automation, measurement accuracy, and decision-making across scientific and technological applications.[3][4]

Publications

The researcher’s publication portfolio comprises 19 documents indexed in Scopus according to the supplied profile information. The documented citation count indicates that the published work has been referenced by subsequent scholarly research. Publication and citation activity together provide a quantitative view of the researcher’s participation in the international academic literature.[1]

  • Indexed research publications.
  • Research related to remote data acquisition.
  • Technical and scientific investigations.
  • Scholarly contributions disseminated through academic literature.

Research Impact

The research impact associated with Miraç Eren can be considered through the available publication and citation indicators. A record of 19 documents and 550 citations, together with an h-index of 5, indicates that the research output has received measurable attention within the scholarly literature. Bibliometric indicators provide useful quantitative evidence of academic visibility, although they are most appropriately interpreted alongside research quality, originality, collaboration, and practical relevance.[1][2]

Award Suitability

Based on the supplied academic information, Miraç Eren demonstrates several characteristics relevant to research recognition, including an established indexed publication record, measurable citation impact, and a defined research focus in Remote Data Acquisition. The combination of scholarly output and citation activity provides objective evidence for consideration under research excellence criteria. Recognition through the World Science Awards would remain subject to the award’s formal assessment process and applicable selection criteria.[1][5]

Conclusion

Miraç Eren has established a documented academic research profile associated with Remote Data Acquisition at Ondokuz Mayıs Üniversitesi. The available Scopus indicators show 19 indexed documents, 550 citations, and an h-index of 5. These metrics provide evidence of scholarly productivity and visibility within the scientific literature and form a quantitative basis for consideration for research recognition.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Miraç Eren, Author ID 56011249400. Scopus.
    https://www.scopus.com/pages/authors/56011249400
  2. ORCID. (n.d.). ORCID record: Miraç Eren.
    https://orcid.org/0000-0002-5150-9144
  3. Gungor, V. C., Lu, B., & Hancke, G. P. (2010). Opportunities and challenges of wireless sensor networks in smart grid. IEEE Transactions on Industrial Electronics, 57(10), 3557–3564.
    DOI: https://doi.org/10.1109/TIE.2009.2039455
  4. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330.
    DOI: https://doi.org/10.1016/j.comnet.2008.04.002
  5. World Science Awards. (n.d.). Official Award Information.
    https://worldscienceawards.com/

Hui Chen | Remote Data Acquisition | Innovative Research Award

Innovative Research Award

Hui Chen
Affiliation School of Economics and Management, Northwest University
Country China
Scopus ID 60645257800
Documents 1
Subject Area Remote Data Acquisition
Event Global Sensor Awards

Hui Chen

School of Economics and Management, Northwest University

Hui Chen is affiliated with the School of Economics and Management, Northwest University, China. The available Scopus author profile identifies research activity within the field of Remote Data Acquisition and records one indexed publication under Scopus Author ID 60645257800. This academic profile has been prepared in a neutral encyclopedic style to summarize publicly available scholarly information and its relevance to recognition under the Global Sensor Awards.[1]

Abstract

This article summarizes the publicly available academic profile of Hui Chen in relation to the Innovative Research Award. The profile is based on indexed scholarly information available through Scopus and highlights institutional affiliation, publication activity, and subject specialization in Remote Data Acquisition. The article follows a neutral, reference-based presentation similar to academic encyclopedia entries.[1]

Keywords

Remote Data Acquisition, Sensor Technology, Information Systems, Data Analytics, Smart Monitoring, Research Evaluation, Scientific Publications, Academic Recognition.

Introduction

Remote Data Acquisition has become an essential interdisciplinary research domain supporting sensor networks, intelligent monitoring systems, industrial automation, environmental observation, and digital decision-making. Academic research within this field contributes to advances in data collection methodologies, communication technologies, and analytical frameworks that improve the reliability of distributed sensing systems.[2]

Research Profile

Hui Chen is associated with the School of Economics and Management at Northwest University, China. The Scopus author profile identifies one indexed publication under Author ID 60645257800. Although the available bibliographic record is limited, it establishes participation in scholarly research connected with Remote Data Acquisition and related analytical disciplines.[1]

Research Contributions

  • Participation in scholarly research associated with Remote Data Acquisition.
  • Contribution to research dissemination through indexed academic publication.
  • Engagement with interdisciplinary topics relevant to data-driven monitoring and information management.
  • Support for the advancement of research knowledge through peer-reviewed scholarly communication.

Publications

According to the publicly accessible Scopus profile, one indexed publication is currently associated with the researcher. Detailed bibliographic information may be accessed through the Scopus author profile for the most current publication record.[1]

  • Indexed Publications: 1
  • Primary Subject Area: Remote Data Acquisition
  • Publication database: Scopus

Research Impact

The measurable research impact of an academic profile is commonly evaluated through publication output, citation metrics, collaborative activities, and disciplinary relevance. The available public information for this profile indicates an emerging publication record. As additional publications and citations accumulate, bibliometric indicators may evolve accordingly.[1]

Award Suitability

The Innovative Research Award recognizes scholarly work demonstrating originality, methodological quality, and potential contribution to scientific advancement. Based on publicly available information, the research profile reflects participation in an important technical domain relevant to modern sensing and remote data acquisition technologies. Formal award evaluation would additionally consider the quality, originality, significance, and broader influence of the submitted research portfolio in accordance with the evaluation criteria established by the Global Sensor Awards.[3]

Conclusion

This academic recognition page provides a structured overview of Hui Chen’s publicly available scholarly profile. The article summarizes institutional affiliation, indexed publication activity, subject specialization, and relevance to the Innovative Research Award while maintaining a neutral encyclopedic presentation supported by publicly accessible academic sources.[1]

References

  1. Elsevier. (n.d.). Scopus author details: HUI CHEN, Author ID 60645257800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60645257800
  2. IEEE. (2021). Remote sensing, data acquisition and intelligent monitoring technologies.
    DOI: https://doi.org/10.1109/JPROC.2021.3052500
  3. Global Sensor Awards. (n.d.). Award information and evaluation framework.
    https://globalsensorawards.com/