Best Researcher Award
Md Shariful Islam
Bangladesh Fisheries Research Institute, Bangladesh
Md Shariful Islam is a researcher affiliated with the Bangladesh Fisheries Research Institute in Bangladesh, with a research profile identified in the field of Fisheries. According to the supplied bibliometric information, the researcher has three documents, one citation, and an h-index of one in the Scopus record. The researcher is identified by Scopus Author ID 59804045500 and ORCID iD 0000-0003-1639-8108. These identifiers provide mechanisms for distinguishing the researcher’s scholarly record from other researchers with similar names. [1] [2]
Abstract
Md Shariful Islam is affiliated with the Bangladesh Fisheries Research Institute and is identified within the broad subject area of Fisheries. The available researcher information records three Scopus-indexed documents, one citation, and an h-index of one. The profile is additionally associated with ORCID iD 0000-0003-1639-8108, providing a persistent identifier for scholarly activities and research outputs. [1] [2]
The Best Researcher Award profile presented here summarizes the supplied scholarly identifiers and bibliometric indicators. Because bibliometric measures represent only selected dimensions of research activity, assessment of research excellence should also consider the quality, relevance, originality, methodological rigor, and broader contribution of individual research outputs.
Keywords
- Md Shariful Islam
- Best Researcher Award
- Fisheries
- Bangladesh Fisheries Research Institute
- Researcher Profile
- Scopus
- ORCID
- Global Sensor Awards
Introduction
Fisheries research encompasses the study, management, conservation, production, and technological development associated with aquatic biological resources. Contemporary fisheries and aquaculture research increasingly incorporates quantitative observation, monitoring technologies, data analysis, and measurement systems to improve understanding of aquatic environments and production processes. Sensor technologies can support these activities by enabling the collection of physical, chemical, and biological measurements relevant to aquatic systems.
Within this broader research environment, academic recognition can be informed by a combination of scholarly productivity, research quality, disciplinary relevance, scientific contribution, and documented research impact. Bibliographic databases such as Scopus provide structured information concerning indexed publications and citation activity, while ORCID provides a persistent identifier that can help connect researchers with their scholarly outputs. [1] [2]
Research Profile
The supplied profile identifies Md Shariful Islam with the Bangladesh Fisheries Research Institute in Bangladesh and assigns Fisheries as the principal subject area. The Scopus Author ID associated with the profile is 59804045500, while the ORCID identifier is 0000-0003-1639-8108. Persistent identifiers are useful for improving the discoverability and attribution of scholarly work, particularly where researchers have names that may occur in multiple academic records. [1] [2]
Research Contributions
The available information establishes the researcher’s disciplinary association with Fisheries but does not provide sufficient publication-level information to independently characterize specific discoveries, methods, datasets, technologies, or research findings. Accordingly, this profile does not attribute particular scientific contributions beyond the supplied bibliometric and institutional information.
From a broader disciplinary perspective, fisheries research can benefit from reliable measurement and monitoring approaches. In aquatic research and aquaculture, sensing and automated monitoring can contribute to the observation of environmental and production parameters, supporting data-driven approaches to research and management. Such technologies are relevant to the wider interface between fisheries science and sensing technology. [3]
Publications
The supplied Scopus profile reports three documents associated with Md Shariful Islam. The information provided for this article does not include the individual publication titles, journals, publication years, authorship positions, or DOI identifiers of those documents. Consequently, individual publications are not listed here without independent bibliographic verification. The reported document count should be understood as the supplied Scopus profile metric rather than as a complete publication bibliography. [1]
For formal academic evaluation, publication-level assessment may include bibliographic verification, journal or conference details, citation context, methodological contribution, authorship role, and the relevance of each work to the award’s stated criteria. Where DOI identifiers exist for individual publications, they should be associated with the corresponding verified records rather than inferred from incomplete bibliographic information.
Research Impact
The supplied bibliometric indicators report one citation and an h-index of one for the identified Scopus profile. These measures provide limited quantitative evidence concerning citation activity and should be interpreted in relation to publication age, disciplinary citation patterns, document type, and the size of the researcher’s indexed publication record. [1]
Research impact can extend beyond citation counts. In fisheries, potential forms of scholarly and practical impact may include contributions to aquatic resource research, fisheries management, aquaculture development, environmental observation, methodological advancement, training, collaboration, and knowledge transfer. However, specific impact claims concerning Md Shariful Islam would require supporting evidence from the researcher’s publications, projects, datasets, patents, institutional activities, or other documented outputs.
Award Suitability
Md Shariful Islam is presented for consideration in connection with the Best Researcher Award associated with the Global Sensor Awards. The supplied profile establishes an academic affiliation in Fisheries and identifies a documented Scopus and ORCID presence. These elements can support researcher identification and verification during an academic recognition process. [1] [2]
The suitability of the profile for a sensor-focused recognition program should be evaluated against the specific award criteria and the researcher’s verified outputs. In particular, evidence demonstrating a connection between fisheries research and sensing, monitoring, instrumentation, data acquisition, sensor applications, or related technological methods would be relevant where such work forms part of the award’s eligibility requirements. The available information alone does not establish a specific sensor technology contribution and therefore should not be interpreted as doing so.
A balanced award assessment may consider the following dimensions:
- Quality and originality of the research contributions.
- Relevance of the research to the stated award scope.
- Verified publication and citation records.
- Scientific or technological significance of documented research outputs.
- Potential contribution to fisheries, aquatic research, monitoring, or related sensing applications.
- Evidence of broader academic or practical impact.
Conclusion
Md Shariful Islam is a fisheries researcher affiliated with the Bangladesh Fisheries Research Institute. The supplied scholarly profile records three documents, one citation, and an h-index of one, together with Scopus Author ID 59804045500 and ORCID iD 0000-0003-1639-8108. [1] [2]
For Best Researcher Award consideration, these identifiers and bibliometric indicators provide a basic framework for profile verification. A comprehensive scholarly evaluation should additionally examine the researcher’s verified publications, originality, disciplinary contributions, research quality, and documented relevance to the award’s scope. Where the award emphasizes sensing technology, evidence connecting the researcher’s fisheries work with sensing or monitoring technologies would be particularly important.
External Links
References
- Elsevier. (n.d.). Scopus author details: Md Shariful Islam, Author ID 59804045500. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=59804045500
- ORCID. (n.d.). ORCID record: Md Shariful Islam, ORCID iD 0000-0003-1639-8108. ORCID.
https://orcid.org/0000-0003-1639-8108
- Føre, M., Frank, K., Norton, T., Svendsen, E., Alfredsen, J. A., Dempster, T., Eguiraun, H., Watson, W., Stahl, A., Sunde, L. M., Schellewald, C., Skøien, K. R., Alver, M., & Berckmans, D. (2018). Precision fish farming: A new framework to improve production efficiency and fish welfare. Biosystems Engineering, 173, 176–193.
https://doi.org/10.1016/j.biosystemseng.2017.10.001