Mavoungou Bayone Don-Faustin U-Vangsy | Data Visualization | Best Review Paper Award

Published on by Research Data Analysis

Best Review Paper Award

Mavoungou Bayone Don-Faustin U-Vangsy – Changchun University of Technology, China

Mavoungou Bayone Don-Faustin U-Vangsy
Affiliation Changchun University of Technology
Country China
Documents 1
Subject Area Data Visualization
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0007-2998-0419

Mavoungou Bayone Don-Faustin U-Vangsy is associated with Changchun University of Technology in China and is identified with Data Visualization as the stated subject area. The supplied profile records one document and an ORCID identifier. Detailed Scopus metrics, publication metadata, and citation indicators are not available in the supplied record and are therefore not inferred.

Abstract

This academic recognition profile documents the available information concerning Mavoungou Bayone Don-Faustin U-Vangsy, affiliated with Changchun University of Technology, China, and associated with Data Visualization. The supplied record indicates one document and an ORCID identifier. Scopus explains that author profiles may include publication, citation, affiliation, subject-area, and author-identifier information.[1]

Keywords

  • Data Visualization
  • Research Data Analysis
  • Academic Research
  • Research Publications
  • Research Impact
  • Best Review Paper Award
  • ORCID

Introduction

Data visualization supports the communication, exploration, and interpretation of complex information through graphical and interactive representations. In research data analysis, visualization can help identify patterns, relationships, distributions, and anomalies that are difficult to recognize in raw datasets. Its effectiveness depends on appropriate design, analytical context, accuracy, and interpretation of findings.[1]

Research Profile

Mavoungou Bayone Don-Faustin U-Vangsy is identified in the supplied profile as affiliated with Changchun University of Technology, China, with Data Visualization listed as the subject area. The supplied record reports one document and provides an ORCID identifier. Scopus ID, citation count, and h-index are not available in the supplied information.[2]

Research Contributions

The available record indicates research activity associated with Data Visualization, but it does not provide sufficient bibliographic detail to attribute specific methods, datasets, software, or findings. Accordingly, contributions should be assessed from documented publications, research outputs, and verifiable scholarly metadata rather than inferred from affiliation or subject classification alone carefully.[3]

Publications

The supplied information reports one document for the researcher. No publication title, journal, year, DOI, authorship position, publisher, or citation details were provided. Consequently, this page records the publication count without assigning unsupported bibliographic claims. A complete publication assessment would require verification through authoritative scholarly databases and the researcher’s identifier.[2]

Research Impact

Research impact may be examined through publications, citations, scholarly visibility, reuse, collaboration, and contributions to research practice. Scopus author profiles can provide publication and citation information, while ORCID supports persistent researcher identification. For this profile, citation and h-index values are unavailable, so no quantitative impact claim is currently made here.[3]

Award Suitability

The Best Review Paper Award recognizes a publication-based achievement, so suitability should depend on evidence that the nominated work is a review paper and meets the award’s criteria. The supplied record confirms one document but does not identify its type or title. Therefore, suitability is preliminary and requires publication verification.[3]

Conclusion

The available evidence presents a researcher affiliated with Changchun University of Technology whose stated subject area is Data Visualization and whose supplied record contains one document. The profile includes an ORCID identifier. Because publication and citation metadata are unavailable, recognition should remain evidence-based and subject to independent verification before evaluation.[2]

References

  1. When multimodal fusion helps: An ablation study of EEG–ECG fusion strategies for emotion recognition
    https://www.sciencedirect.com/science/article/abs/pii/S0010482526004592?via%3Dihub
  2. ORCID. (n.d.). ORCID record: Mavoungou Bayone Don-Faustin U-Vangsy. ORCID.
    https://orcid.org/0009-0007-2998-0419
  3. International Research Data Analysis Excellence & Awards(2026).
    https://researchdataanalysis.com/award-nomination/

 

Anil Chandra Kothari | Data Visualization | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Anil Chandra Kothari
Affiliation Indian Institute Of Petroleum
Country India
Scopus ID 57647950300
Documents 21
Citations 146
h-index 8
Subject Area Data Visualization
Event Research Data Analysis Awards

Anil Chandra Kothari
Indian Institute Of Petroleum, India

Anil Chandra Kothari is a researcher affiliated with the Indian Institute Of Petroleum whose scholarly work contributes to data visualization and analytical research. His publication record, citation performance, and documented academic outputs indicate continued engagement with scientific investigation and interdisciplinary collaboration. The available bibliometric indicators provide an overview of research productivity and academic influence within indexed literature.[1]

Abstract

This article summarizes the research profile of Anil Chandra Kothari using publicly available bibliometric information. The profile reflects publication activity, citation performance, and research engagement in data visualization and related analytical disciplines. These indicators provide an objective overview of scholarly productivity and are commonly considered during academic recognition and award evaluations.[1]

Keywords

Data Visualization, Scientific Research, Bibliometrics, Citation Analysis, Research Performance, Scopus, Academic Recognition, Research Excellence.

Introduction

Academic awards often recognize sustained scholarly contributions supported by measurable research indicators and quality publications. Bibliometric information such as indexed documents, citations, and h-index provides transparent evidence of research activity while complementing qualitative assessments of scientific contributions.

Research Profile

The available Scopus profile reports 21 indexed publications, 146 citations, and an h-index of 8. These metrics indicate an active publication record and measurable academic visibility across indexed research outputs within the research community.[1]

Research Contributions

Research activities contribute to advancing data visualization methodologies for interpreting scientific information through structured analytical approaches. These efforts support improved communication of research findings across multidisciplinary domains.The published work demonstrates consistent participation in collaborative scientific investigations and promotes evidence-based analytical practices. Such contributions encourage reproducibility and effective interpretation of research datasets.[4]

Publications

The indexed publication record consists of twenty-one scholarly documents covering analytical and scientific research topics. These publications collectively contribute to citation accumulation and demonstrate continuous participation in peer-reviewed academic literature.[1]

Research Impact

With 146 citations and an h-index of 8, the research profile demonstrates measurable scholarly influence based on indexed citation statistics. Citation indicators suggest that published work has received recognition and usage within relevant academic fields.

Award Suitability

Considering the available bibliometric evidence, publication consistency, citation performance, and recognized scholarly outputs, the profile aligns with common evaluation criteria applied in research excellence and best researcher award assessments. Final decisions typically include both quantitative and qualitative peer evaluation.[6]

Conclusion

The documented academic profile presents a concise overview of measurable scholarly achievements associated with Anil Chandra Kothari. Publication metrics, citation indicators, and ongoing research engagement collectively provide an evidence-based foundation for professional academic recognition within the Research Data Analysis Awards framework.

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Anil Chandra Kothari, Author ID 57647950300.
    https://www.scopus.com/authid/detail.uri?authorId=57647950300
  2. Das, B., Seth, J., Roy, A., … Debnath, S. C., & Islam, S. M. (2026). Utility of a triazine-based imine-linked donor–acceptor COF (TAPT–TP) for the synthesis of 2-oxazolidinone derivatives and CO₂ photoreduction under visible light irradiation. ChemNanoMat.
    https://aces.onlinelibrary.wiley.com/doi/abs/10.1002/cnma.202500562
  3. Kumar, B., Kumar, N., Enam, W., … Bhaumik, A., & Chowdhury, B. (2026). Reverse water gas shift reaction at low temperatures via Fe₃C using α-Fe₂O₃/sugar cane bagasse waste-derived silica catalysts. ACS Sustainable Chemistry & Engineering.
    https://pubs.acs.org/doi/10.1021/acssuschemeng.5c10169