Best Researcher Award
Mujtaba Sultani
Kabul Polytechnic University (KPU), Afghanistan
| Mujtaba Sultani |
| Affiliation |
Kabul Polytechnic University |
| Country |
Afghanistan |
| Scopus ID |
59155314100 |
| Documents |
3 |
| Citations |
18 |
| h-index |
2 |
| Subject Area |
Data Mining |
| Event |
International AI Data Scientist Award |
| ORCID |
0009-0009-4267-703X |
Mujtaba Sultani is a researcher affiliated with Kabul Polytechnic University (KPU), Afghanistan, whose listed subject area is Data Mining. His research profile can be explored through scholarly indexing platforms and researcher identification services. The available bibliometric information provides a snapshot of his indexed research output and citation activity.
Abstract
This article presents an overview of Mujtaba Sultani’s academic profile, institutional affiliation, research subject, and available bibliometric indicators. The listed Scopus profile reports three documents, 18 citations, and an h-index of two. These indicators provide a limited quantitative perspective and should be interpreted alongside publication quality, research methods, originality, and verified contributions. [1]
Keywords
Mujtaba Sultani, Data Mining, research metrics, scholarly publications, citation analysis, Kabul Polytechnic University, artificial intelligence research.
Introduction
Data Mining involves discovering useful patterns and relationships within datasets using computational and statistical techniques. Research in this field can support data interpretation, predictive analysis, and evidence-based decision-making. Sultani’s listed subject area places his profile within this broader research domain; specific research topics require confirmation from his individual publications. [1]
Research Profile
Sultani is affiliated with Kabul Polytechnic University in Afghanistan. His Scopus author identifier is 59155314100. His ORCID record provides an additional researcher-identification resource. Author profiles and publication records should be checked for accuracy and completeness before formal evaluation. [2]
Research Contributions
The available profile data identifies Data Mining as the relevant subject area. Determining specific contributions requires reviewing the methods, findings, originality, and practical relevance of individual studies. No particular discovery or application is attributed here without supporting publication evidence.
Publications
The supplied Scopus information lists three documents. Their titles, publication venues, dates, and DOI identifiers should be verified directly through the author record before individual publications are described or cited.
Research Impact
The reported 18 citations and h-index of two indicate measurable citation activity within the indexed record. Citation counts can change over time and may vary across databases. They are best considered alongside research quality, reproducibility, collaboration, and broader scholarly relevance.
Award Suitability
The Best Researcher Award associated with the International AI Data Scientist Award provides a context for reviewing academic output and research contributions. A fair assessment should consider verified publications, originality, scholarly influence, and alignment with award criteria. The profile information presented here does not independently establish award selection or judging outcomes.
Conclusion
Mujtaba Sultani’s listed affiliation, Data Mining subject area, and bibliometric indicators provide a concise overview of his academic profile. Further assessment should rely on verified publications and documented research contributions.
External Links
References
- Elsevier. (n.d.). Scopus author details: Mujtaba Sultani, Author ID 59155314100. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=59155314100
- ORCID. (n.d.). Researcher identifier record.
https://orcid.org/0009-0009-4267-703X