Miraç Eren | Remote Data Acquisition | Best Researcher Award

Posted on by Global Sensor Awards

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/

Maike Klein | Remote Data Acquisition | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

Maike Klein
Affiliation Lancaster University
Country United Kingdom
Scopus ID 57207880915
Documents 11
Citations 51
h-index 4
Subject Area Remote Data Acquisition
Event Global Sensor Awards
ORCID 0000-0003-1458-4281

Maike Klein

Lancaster University

The Best Researcher Award recognizes researchers who demonstrate sustained scholarly achievement through scientific publications, measurable research influence, interdisciplinary collaboration, and contributions to technological advancement. Maike Klein has developed an academic profile associated with remote data acquisition, contributing to research involving sensing technologies, distributed monitoring systems, and data collection methodologies. The available bibliometric indicators provide an objective basis for evaluating academic performance within an internationally recognized research award framework.[1]

Abstract

This article presents an academic overview of Maike Klein’s research profile in relation to the Best Researcher Award presented at the Global Sensor Awards. The assessment considers publication productivity, citation performance, institutional affiliation, subject specialization, and measurable scholarly impact. The evaluation follows a neutral academic perspective and reflects commonly accepted bibliometric criteria employed in research assessment and scholarly recognition.[1]

Keywords

  • Best Researcher Award
  • Remote Data Acquisition
  • Sensor Networks
  • Wireless Monitoring
  • Research Evaluation
  • Bibliometric Analysis

Introduction

Remote data acquisition has become an essential component of modern sensing systems, enabling continuous monitoring, distributed information collection, environmental observation, industrial automation, and intelligent decision support. Advances in sensor technology, wireless communication, and cloud-based analytics have expanded opportunities for real-time data acquisition across scientific, engineering, healthcare, and environmental applications. Researchers working within this field contribute to improving data quality, system reliability, and technological innovation through interdisciplinary investigations and peer-reviewed research.[2]

Research Profile

Maike Klein is affiliated with Lancaster University in the United Kingdom. According to the available Scopus author profile, the researcher has published 11 indexed scholarly documents, received 51 citations, and achieved an h-index of 4. These bibliometric indicators reflect documented scholarly activity and measurable research visibility within internationally indexed scientific literature.[1]

Research Contributions

The documented publication record demonstrates engagement with remote data acquisition technologies through research involving sensing systems, distributed monitoring, data collection methodologies, and related engineering applications. Contributions support interdisciplinary scientific progress by addressing practical and theoretical challenges associated with reliable information acquisition and intelligent sensing infrastructures. Peer-reviewed dissemination enables these findings to contribute to ongoing scientific development and collaborative research activities.[1][2]

  • Research involving remote sensing and data acquisition technologies.
  • Scientific publications within indexed academic journals and conferences.
  • Interdisciplinary collaboration supporting intelligent monitoring systems.
  • Contributions to modern sensor-enabled information collection methodologies.

Publications

The publication portfolio includes eleven indexed scholarly documents contributing to research associated with remote data acquisition and related sensing technologies. Scientific publications facilitate knowledge dissemination, scholarly communication, and citation by subsequent research while supporting continued advancement within engineering and digital technology disciplines.[1]

Representative DOI resource relevant to remote sensing and data acquisition: https://doi.org/10.1109/JSEN.2021.3090000 [3]

Research Impact

Bibliometric indicators remain an established component of research assessment by providing quantitative evidence of scholarly visibility. The available citation count of 51 together with an h-index of 4 indicates that multiple publications have contributed to subsequent scientific literature. Although quantitative metrics represent only one aspect of research evaluation, they are frequently incorporated into institutional reviews, funding assessments, and academic award selection processes.[1]

Award Suitability

Based upon publicly available bibliometric information, Maike Klein demonstrates several characteristics commonly considered during academic award evaluation, including peer-reviewed publication activity, measurable citation performance, interdisciplinary research engagement, and contributions within the field of remote data acquisition. These objective indicators align with transparent scholarly assessment practices supporting recognition through the Best Researcher Award presented at the Global Sensor Awards.[1][2]

Conclusion

Maike Klein has established a documented scholarly profile through peer-reviewed publications, measurable citation performance, and research contributions associated with remote data acquisition technologies. The available bibliometric evidence, combined with institutional affiliation and interdisciplinary research engagement, provides an objective foundation for academic recognition within the Global Sensor Awards while reflecting accepted standards of scholarly evaluation and research excellence.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Maike Klein, Author ID 57207880915. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57207880915
  2. IEEE Sensors Journal. General literature concerning remote data acquisition, wireless sensing technologies, intelligent monitoring systems, and distributed sensor networks.
    https://ieeexplore.ieee.org/
  3. Digital Object Identifier Foundation. Representative DOI resource illustrating citation formatting for sensor and remote data acquisition research.
    https://doi.org/10.1109/JSEN.2021.3090000