Pawan Kumar Patidar | Machine Learning | Young Researcher Award

Published on by Young Scientists Awards

Young Researcher Award

Pawan Kumar Patidar
Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur

Pawan Kumar Patidar
Researcher Pawan Kumar Patidar
Affiliation Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur
Country India
Scopus ID 58175373800
Documents 9
Citations 109
h-index 3
Subject Area Machine Learning
Event International Young Scientist Award
Pawan Kumar Patidar is a researcher affiliated with Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, India, whose research profile is associated with the field of Machine Learning. His scholarly record includes nine documents, 109 citations, and an h-index of 3 according to the supplied research-profile information. The researcher is associated with the International Young Scientist Award, recognizing research activity and contributions within the relevant academic field.[1]

Abstract

Pawan Kumar Patidar is a Machine Learning researcher affiliated with Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur. The supplied scholarly profile records nine documents, 109 citations, and an h-index of 3. These indicators provide a bibliometric overview of research activity and scholarly visibility. The profile is considered in connection with the International Young Scientist Award and its recognition of research-oriented academic contributions.

Keywords

Machine Learning; Artificial Intelligence; Researcher; Scholarly Publications; Bibliometrics; Research Impact; Young Researcher Award; Academic Research.

Introduction

Machine Learning is a major area of contemporary computer science and artificial intelligence, concerned with computational methods that enable systems to identify patterns and improve performance from data. Research in this field spans supervised and unsupervised learning, classification, prediction, optimization, and data-driven decision-making.[2] Within this context, Pawan Kumar Patidar’s profile is associated with Machine Learning research and scholarly publication activity.

Research Profile

The supplied research information identifies Pawan Kumar Patidar with Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, India. The reported Scopus record contains nine documents and 109 citations, with an h-index of 3. These metrics are bibliometric indicators and should be interpreted alongside publication quality, research relevance, originality, and broader scholarly contribution.[1]

Research Contributions

The research profile is positioned within Machine Learning, a field that supports computational approaches to pattern recognition, prediction, classification, and automated analysis. Based on the supplied information, the documented scholarly output demonstrates participation in academic research and dissemination through indexed publications. Specific research contributions should be evaluated from the individual publications and their methodological and application-specific findings rather than from bibliometric measures alone.

Publications

The supplied profile reports nine scholarly documents. Publication records provide evidence of research dissemination and form an important component of academic evaluation. Citation counts can provide an indication of subsequent scholarly use, although citation practices vary considerably among disciplines, publication types, and research communities.[1]

Research Impact

The reported 109 citations and h-index of 3 indicate measurable scholarly visibility within the supplied bibliometric record. Research impact, however, is multidimensional and may also include methodological contribution, reproducibility, practical applications, collaboration, and influence on subsequent research. Bibliometric indicators therefore provide one component of an overall assessment rather than a complete measure of scientific significance.

Award Suitability

The documented research profile is relevant to consideration for the International Young Scientist Award in the Machine Learning area. The combination of an identified institutional affiliation, indexed scholarly documents, citations, and an established h-index provides a research-oriented basis for consideration. Final award suitability should be determined through the applicable nomination, verification, and evaluation procedures of the award program.

Conclusion

Pawan Kumar Patidar is associated with Machine Learning research at Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur. The supplied scholarly indicators comprise nine documents, 109 citations, and an h-index of 3. Collectively, these data establish a documented research profile suitable for academic consideration while emphasizing the importance of evaluating individual research contributions, publication quality, and research relevance alongside quantitative metrics.

References

  1. Elsevier. (n.d.). Scopus author details: Pawan Kumar Patidar, Author ID 58175373800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58175373800
  2. Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260.
    https://doi.org/10.1126/science.aaa8415
  3. Google Scholar. (n.d.). Scholar profile associated with Pawan Kumar Patidar.
    https://scholar.google.com/citations?user=kW4v5uIAAAAJ&hl=en&oi=sra