Stanislaw Dubiel | Data Analysis | Best Researcher Award

Best Researcher Award

Stanislaw Dubiel – AGH University of Krakow

Stanislaw Dubiel, affiliated with AGH University of Krakow, Poland, is presented in this academic recognition profile in relation to research activity in Data Analysis. The profile summarizes the researcher information supplied for the International Research Data Analysis Excellence & Awards, including bibliometric indicators, research-area information, and relevant scholarly profile links.

Stanislaw Dubiel
Affiliation AGH University of Krakow
Country Poland
Scopus ID 7003846402
Documents 214
Citations 2,656
h-index 25
Subject Area Data Analysis
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-8781-7843

Abstract

This academic recognition article profiles Stanislaw Dubiel of AGH University of Krakow, Poland, with a stated research focus in Data Analysis. The supplied scholarly indicators comprise 214 documents, 2,656 citations, and an h-index of 25, together with a Scopus Author ID of 7003846402. These indicators are presented as bibliometric information associated with the supplied researcher profile and should be interpreted in the context of database coverage, indexing practices, publication chronology, and citation accumulation. [1]

Keywords

Stanislaw Dubiel; Best Researcher Award; Data Analysis; AGH University of Krakow; Poland; Research Data Analysis; Bibliometrics; Scientific Research; Scopus; ORCID; Research Impact; Scholarly Publications; Citation Analysis; Research Recognition.

Introduction

Research recognition based on bibliometric information commonly considers indicators such as publication output, citation counts, and h-index values alongside qualitative assessments of research contribution. Such measures provide useful quantitative context but do not independently establish the significance, originality, or societal value of individual research contributions. [1]

Research Profile

Stanislaw Dubiel is identified in the supplied information as a researcher affiliated with AGH University of Krakow in Poland. The stated subject area is Data Analysis, indicating an academic orientation toward analytical approaches for processing, interpreting, and evaluating research data. The supplied Scopus identifier is 7003846402, while the supplied ORCID identifier is 0000-0002-8781-7843. [1] [2]

Research Contributions

The reported publication and citation indicators suggest an established indexed research record. In evaluating such a record, quantitative measures can be complemented by consideration of publication quality, methodological rigor, reproducibility, interdisciplinary relevance, collaboration, and the practical or scientific significance of research findings. [1]

Publications

The supplied input does not provide an itemized publication bibliography for Stanislaw Dubiel. Accordingly, individual article titles, journals, publication years, author lists, and DOI identifiers are not reproduced here to avoid attributing publications without source verification. The complete indexed publication record can be consulted through the supplied Scopus author profile, where available. [1]

Research Impact

The supplied bibliometric record reports 2,656 citations and an h-index of 25 across 214 documents. Citation-based indicators can help describe the visibility and reception of a research record within indexed scholarly literature, although citation counts may vary between databases and should not be interpreted as a complete measure of research quality or societal impact. [1]

Award Suitability

Based solely on the information supplied for this article, Stanislaw Dubiel presents a profile with a documented institutional affiliation, a defined research area in Data Analysis, an identified Scopus author record, an ORCID identifier, and reported bibliometric indicators of 214 documents, 2,656 citations, and an h-index of 25. These elements may provide relevant evidence for consideration in a research recognition process. [1] [2]

Conclusion

Stanislaw Dubiel of AGH University of Krakow is presented in this profile as a researcher working in the broad area of Data Analysis. The supplied record includes 214 documents, 2,656 citations, and an h-index of 25, together with Scopus and ORCID identifiers that can support scholarly record verification. [1] [2]

References

    1. Lattice vibrations in sigma-phase Fe45.8Cr49Ni5.2 compound as revealed by Mössbauer spectroscopy.
      https://www.researchgate.net/publication/410796801_Lattice_vibrations_in_sigma-phase_Fe458Cr49Ni52_compound_as_revealed_by_Mossbauer_spectroscopy
    2. Effect of strain release on redistribution of Cr atoms in selected cold-worked Fe-Cr alloys
      https://www.researchgate.net/publication/396115073_Effect_of_strain_release_on_redistribution_of_Cr_atoms_in_selected_cold-worked_Fe-Cr_alloys
    3. Tuning magnetic frustration via composition: Spin-glass dynamics and phase diagrams of sigma-phase Fe-Cr-Ni alloys
      https://www.researchgate.net/publication/398070995_Tuning_magnetic_frustration_via_composition_Spin-glass_dynamics_and_phase_diagrams_of_sigma-phase_Fe-Cr-Ni_alloys

Ebrahim Ghaderpour | Financial Data Analysis | Best Researcher Award

Dr. Ebrahim Ghaderpour, Financial Data Analysis, Best Researcher Award

Doctorate at Sapienza University of Rome, Italy

Professional Profile

Orcid Profile
Scopus Profile
Research Gate

Summary

Dr. Ebrahim Ghaderpour is an accomplished Assistant Professor in Remote Sensing for Engineering Geology at Sapienza University of Rome, specializing in ground deformation processes and cultural heritage monitoring using remote sensing techniques. He is also the Founder and CEO of Earth and Space Inc., focusing on Earth observation data analysis. With a robust background in academia and industry, Dr. Ghaderpour has extensive experience in teaching, research, and software development across various scientific disciplines.

Education

  • Ph.D. in Big Data Analytics, York University, Toronto, ON, Canada, 2018
  • Ph.D. in Theoretical and Computational Science, University of Lethbridge, Lethbridge, AB, Canada, 2014
  • M.Sc. in Mathematics, Isfahan University of Technology, Isfahan, Iran, 2010
  • B.Sc. in Applied Mathematics, University of Isfahan, Isfahan, Iran, 2007

Professional Experience

  • Assistant Professor, Department of Earth Sciences, Sapienza University of Rome, Italy (2022-present)
  • Founder and CEO, Earth and Space Inc., Calgary, AB, Canada (2020-present)
  • Postdoctoral Associate, Department of Geomatics Engineering, University of Calgary, Canada (2021-2022)
  • Sessional Instructor, University of Calgary and University of Lethbridge, Canada (2016-2022)
  • Research and Teaching Assistant, York University and University of Lethbridge, Canada (2013-2016)

📖 Publication Top Noted

Article: A fractional-order multiple-model type-2 fuzzy control for interconnected power systems incorporating renewable energies and demand response

  • Authors: Yan, S.-R., Dai, Y., Shakibjoo, A.D., Ghaderpour, E., Mohammadzadeh, A.
  • Journal: Energy Reports
  • Volume: 12
  • Pages: 187–196
  • Year: 2024

Article: On the stochastic significance of peaks in the least-squares wavelet spectrogram and an application in GNSS time series analysis

  • Authors: Ghaderpour, E., Pagiatakis, S.D., Mugnozza, G.S., Mazzanti, P.
  • Journal: Signal Processing
  • Volume: 223
  • Pages: 109581
  • Year: 2024

Article: Ground deformation monitoring via PS-InSAR time series: An industrial zone in Sacco River Valley, central Italy

  • Authors: Ghaderpour, E., Mazzanti, P., Bozzano, F., Scarascia Mugnozza, G.
  • Journal: Remote Sensing Applications: Society and Environment
  • Volume: 34
  • Pages: 101191
  • Year: 2024

Article: A fast and robust method for detecting trend turning points in InSAR displacement time series

  • Authors: Ghaderpour, E., Antonielli, B., Bozzano, F., Scarascia Mugnozza, G., Mazzanti, P.
  • Journal: Computers and Geosciences
  • Volume: 185
  • Pages: 105546
  • Year: 2024

Article: Personalized Blood Pressure Control by Machine Learning for Remote Patient Monitoring

  • Authors: Vu, M.T., Alattas, K.A., Bouteraa, Y., Ghaderpour, E., Mohammadzadeh, A.
  • Journal: IEEE Access
  • Year: 2024