Zulfiqar Ali Khan | Computer Science | Best Scholar Award

Best Scholar Award

Zulfiqar Ali Khan
Virtual University of Pakistan

Zulfiqar Ali Khan
Affiliation Virtual University of Pakistan
Country Pakistan
Scopus ID 55130989400
Documents 72
Citations 2,021
h-index 27
Subject Area Computer Science
Event International PopularScientist Awards
ORCID 0000-0002-0446-2961

Zulfiqar Ali Khan is a researcher affiliated with Virtual University of Pakistan whose reported scholarly profile is situated within the field of Computer Science. The supplied Scopus profile information records 72 documents, 2,021 citations, and an h-index of 27, providing quantitative indicators of publication activity and citation-based research visibility.[1] These indicators are considered in this article as part of an academic recognition profile for the Best Scholar Award associated with the International PopularScientist Awards.

Abstract

This academic recognition profile presents the reported research indicators and scholarly suitability of Zulfiqar Ali Khan for consideration under the Best Scholar Award. The profile identifies Virtual University of Pakistan as the researcher’s institutional affiliation and Computer Science as the principal subject area supplied for evaluation. Quantitative indicators include 72 documents, 2,021 citations, and an h-index of 27, based on the supplied Scopus author information.[1] The assessment considers these indicators alongside research contribution, scholarly visibility, publication activity, and the potential academic relevance of the researcher’s work. Because bibliographic records supplied separately with the request contain contributor information identifying another researcher, those records are presented transparently as source-supplied publication examples rather than being attributed to Zulfiqar Ali Khan without independent verification.

Keywords

Best Scholar Award; Zulfiqar Ali Khan; Computer Science; Virtual University of Pakistan; scholarly research; research impact; Scopus; citation analysis; h-index; academic recognition; International PopularScientist Awards.

Introduction

The evaluation of scholarly achievement commonly considers several complementary dimensions, including publication productivity, citation impact, research visibility, disciplinary contribution, and sustained engagement with academic research. Bibliographic databases such as Scopus provide structured author-level indicators that can assist in describing publication and citation activity, although such metrics should be interpreted within the context of discipline, career stage, authorship practices, and the characteristics of individual research fields.[1]

Research Profile

The supplied research profile places Zulfiqar Ali Khan in Computer Science and identifies Virtual University of Pakistan as the institutional affiliation. The reported Scopus author identifier is 55130989400, while the supplied ORCID identifier is 0000-0002-0446-2961.[1] These persistent identifiers can assist in distinguishing scholarly records and connecting publications, affiliations, and researcher information across academic information systems.

Research Contributions

The available profile data supports an assessment of scholarly productivity and citation visibility, but it does not provide sufficient publication-level evidence in the supplied material to make definitive claims about particular methodological innovations, individual research discoveries, or specific areas of technical specialization within Computer Science. Accordingly, the research contribution assessment should distinguish documented bibliometric indicators from qualitative claims that require examination of the researcher’s verified publications.

Publications

The following bibliographic records were supplied with the source material accompanying this article. The records themselves identify Roman Šmucler and other contributors rather than Zulfiqar Ali Khan. For scholarly accuracy, they are therefore not represented as publications authored by Zulfiqar Ali Khan. They are retained below as source-supplied records requiring verification before being associated with the researcher’s publication portfolio.

  • Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine, 2017. Journal article.
  • Infantile hemangiomas. Current treatment procedures | Infantilní hemangiomas. Současné tělečné protředky. Czech-Slovak Pediatrics, 2017. Journal article. EID: 2-s2.0-85027991512. Contributors: Malis, J.; Stara, V.; Blahova, K.; Bučkova, H.; Faberova, R.; Šterba, J.; Klovrzova, S.; Kynčl, M.; Černy, M.; Hrdlička, R. et al.
  • Direct and indirect treatment of pain with lasers – Update 2016. Disease, 2016. Journal article. EID: 2-s2.0-84992323214. Contributors: Šmucler, R.; Jenčová, J.

The source accompanying these records describes them as originating from Roman Šmucler via Scopus–Elsevier. Consequently, further publication-level attribution to Zulfiqar Ali Khan should be based on his verified Scopus, ORCID, publisher, or DOI-indexed records rather than on these supplied entries.

Research Impact

The reported total of 2,021 citations and h-index of 27 indicate measurable citation visibility in the supplied Scopus profile.[1] Citation counts can provide useful evidence of how frequently a body of scholarly work is referenced, but they should not be treated as a standalone measure of research quality. Citation behavior varies substantially among disciplines, publication types, research topics, collaboration structures, and database coverage.

Award Suitability

Based on the supplied profile indicators, Zulfiqar Ali Khan presents a documented basis for consideration for the Best Scholar Award. The combination of 72 reported documents, 2,021 citations, and an h-index of 27 provides quantitative evidence of sustained scholarly publication and citation activity.[1] The reported affiliation with Virtual University of Pakistan and subject area of Computer Science provide additional context for disciplinary evaluation.

Conclusion

The supplied academic profile of Zulfiqar Ali Khan reflects a research presence in Computer Science associated with Virtual University of Pakistan. Reported Scopus indicators of 72 documents, 2,021 citations, and an h-index of 27 provide a substantive quantitative foundation for scholarly recognition.[1] For the Best Scholar Award, these indicators are most appropriately interpreted alongside verified publication quality, originality, research contribution, and broader academic impact.

References

  1. Elsevier. (n.d.). Scopus author details: Zulfiqar Ali Khan, Author ID 55130989400. Scopus.https://www.scopus.com/authid/detail.uri?authorId=55130989400
  2. ORCID. (n.d.). ORCID record: 0000-0002-0446-2961. ORCID.https://orcid.org/0000-0002-0446-2961
  3. Hrib, J., Sirc, J., Lesny, P., Hobzova, R., Duskova-Smrckova, M., Michalek, J., & Smucler, R. (2017). Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine. DOI:
    10.1007/s10856-016-5818-y.
  4. Bartůněk, V., Rak, J., Pelánková, B., Junková, J., Mezlíková, M., Král, V., Kuchař, M., Engstová, H., Ježek, P., & Šmucler, R. (2016). Large scale preparation of up-converting YF3:YbEr nanocrystals with various sizes by solvothermal syntheses using ionic liquid bmimCl. Journal of Fluorine Chemistry. DOI:
    10.1016/j.jfluchem.2016.05.015.
  5. Lippert, J., Šmucler, R., & Vlk, M. (2013). Fractional carbon dioxide laser improves nodular basal cell carcinoma treatment with photodynamic therapy with methyl 5-aminolevulinate. Dermatologic Surgery. DOI:
    10.1111/dsu.12242.

Sourav Kumar Purohit | Computer Science | Best Researcher Award

Best Researcher Award

Sourav Kumar Purohit

SRM University

    Sourav Kumar Purohit
Affiliation SRM University
Country India
Scopus ID 57264226200
Documents 7
Citations 131
h-index 4
Subject Area Computer Science
Event International Popular Scientist Awards
ORCID 0000-0002-3343-6818

Sourav Kumar Purohit is affiliated with SRM University, India, and has established a scholarly profile in the field of Computer Science. His indexed research contributions demonstrate sustained academic activity, interdisciplinary collaboration, and measurable citation impact. Based on the available bibliometric indicators, the researcher has published peer-reviewed scientific works indexed in Scopus while contributing to research areas involving computational methodologies and intelligent systems.[1]

Abstract

This article presents an academic overview of Sourav Kumar Purohit in relation to the Best Researcher Award. The profile summarizes institutional affiliation, publication performance, citation metrics, and scholarly impact within Computer Science. The available bibliometric indicators demonstrate active participation in peer-reviewed research and continued dissemination of scientific knowledge through internationally indexed publications.[1]

Keywords

Best Researcher Award; Sourav Kumar Purohit; SRM University; Computer Science; Artificial Intelligence; Machine Learning; Air Quality Prediction; Scopus Author; Citation Analysis; Research Excellence.

Introduction

Recognition through academic awards is commonly based upon sustained research productivity, publication quality, scholarly influence, and contributions to scientific advancement. Bibliometric indicators such as indexed publications, citation counts, and the h-index provide objective evidence supporting research evaluation. These measures complement qualitative assessments of innovation, collaboration, and scientific significance.[2]

Research Profile

  • Researcher: Sourav Kumar Purohit
  • Institution: SRM University
  • Country: India
  • Primary Subject Area: Computer Science
  • Scopus Author ID: 57264226200
  • Indexed Documents: 7
  • Total Citations: 131
  • h-index: 4

Research Contributions

The research portfolio reflects contributions to computational intelligence, predictive analytics, and data-driven modeling. Published work includes studies involving artificial intelligence, ensemble learning techniques, and environmental data analysis, demonstrating interdisciplinary application of computer science methodologies. The research contributes to scientific understanding while supporting technological innovation and evidence-based decision making.[3]

Publications

  • Accurate Air Quality Index Prediction Using Variational Mode Decomposition and Stacked Ensemble Learning. Book Chapter.
  • A Novel Series-Parallel Hybrid Method Employing Fusion of Deep Features for Air Quality Index Forecasting. Peer-reviewed research publication contributing to intelligent environmental prediction methodologies.

Research Impact

The available bibliometric indicators indicate measurable scholarly visibility with seven indexed publications, 131 citations, and an h-index of four. Citation performance suggests that the published research has been referenced by subsequent scholarly work, reflecting continuing academic relevance within the research community.[1]

Award Suitability

Based on the documented publication record, citation metrics, indexed research output, and contributions to Computer Science, Sourav Kumar Purohit demonstrates characteristics consistent with consideration for the Best Researcher Award. The profile reflects sustained scholarly engagement, peer-reviewed dissemination, interdisciplinary collaboration, and measurable research influence according to internationally recognized bibliometric indicators.[2]

Conclusion

The academic record presented illustrates continued contributions to Computer Science through peer-reviewed publications, citation impact, and interdisciplinary research activities. Objective research metrics and scholarly productivity collectively support recognition within academic award programs emphasizing excellence, innovation, and scientific contribution.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Sourav Kumar Purohit, Author ID 57264226200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57264226200
  2. International Popular Scientist Awards. (n.d.). Best Researcher Award.
    https://popularscientist.com/
  3. Pradhan, S. S., Dora, K. K., & Purohit, S. K. (2026). Accurate Air Quality Index Prediction Using Variational Mode Decomposition and Stacked Ensemble Learning.
    DOI: https://doi.org/10.1007/978-3-032-16830-6_16
  4. Pradhan, S. S., Dora, K. K., & Purohit, S. K. (2026). Accurate air quality index prediction using variational mode decomposition and stacked ensemble learning.