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  • View Larger Image solanki

Dr. Solanki Gupta

Dr. Solanki Gupta

Assistant Professor

  • [email protected]
  • https://www.linkedin.com/in/solanki-gupta-289156185/
solanki
  • Profile

  • Education

  • Experience

  • Research

  • Publications

  • Conferences/ Symposiums

  • Profile

Solanki Gupta is an accomplished educator and have a solid foundation in research and academia. Before joining KMRU, she was working as Senior Research Fellow at Banaras Hindu University, Varanasi. She published several research papers in SCI/SCIE journals and participated in numerous prestigious conferences. Her expertise spans a range of advanced topics, including Data Analytics, Text Analytics, Artificial Intelligence, Machine Learning, Statistical Laws, Altmetrics, and Scientometrics.

Educational Background: Solanki holds a master’s degree in computer science from Banaras Hindu University (BHU), Varanasi, and a bachelor’s degree in computer science and mathematics from National PG College, Lucknow. She completed her secondary education at Lucknow Public School, where she consistently excelled academically and secured top positions both at the district and state levels.

Awards and Achievements: Throughout his career, Solanki has been recognized for his excellence academics. She qualified UGC NET in 2018 and after that she cleared UGC NET JRF in 2021. Additionally, she qualified RET (research entrance test) and PET (postgraduate ent ance test) examinations organized by BHU. Apart from this, she won several awards, scholarships and recognitions during her academic career.

Certifications and Professional Development: Solanki is committed to continuous learning and professional development. She has completed various online certifications offered by several prestigious foreign universities and institutions through Coursera such as IBM Data Science Specialization, Python for Data Science, AI and Development, Data Analysis with python, Data visualization with python, Machine learning with python, etc. She recently participated in AI Data scientist Training program by NASSCOM.

Skills and Strengths: Solanki is skilled in data analysis, trend analysis, Statistical assessments using inferential techniques, etc. She is proficient in several software programs, including Python, Microsoft Excel, SPSS, VoSviewer, Pajek, Weka etc.

  • Education

Degree School/College Board/University Year of Passing
10th LPS Up Board 2012
12th LPS UP Board 2104
B.Sc. NPGC, Lucknow Lucknow Univ. 2017
M.Sc. BHU, Varanasi BHU 2019
Ph.D. BHU, Varanasi BHU
  • Experience

Name
of Organization/Institution
National PG College,
Lucknow
Designation Date Total Experience

6 months

Joined Relieved From To
Guest Faculty Guest Faculty 22-07- 2019 25-01- 2020
  • Research

Data Analytics, Machine Learning, AI, Altmetrics, Statistical Laws, Scientometrics

  • Publications

  • Gupta, S., Kanaujia, A., Lathabai, H. H., & Singh, V. K., Mayr, P. (2024). Patterns in the growth and thematic evolution of Artificial Intelligence research: A study using Bradford distribution of productivity and Path Analysis. International Journal of Intelligent Systems. https://www.hindawi.com/journals/ijis/2024/5511224
  • Gupta, S. & Singh, V. K. (2024). Distributional Characteristics of Dimensions Concepts: An Empirical Analysis using Zipf’s Law. Scientometrics. https://link.springer.com/article/10.1007/s11192-023-04899-9
  • Gupta, S., Singh, V. K., & Banshal, S. K. (2024). Altmetric Data Quality Analysis using Benford’s Law. Scientometrics. https://link.springer.com/article/10.1007/s11192-024-05061-9
  • Gupta, S & Singh, V. K. (2023). Quantitative estimation of trends in Artificial Intelligence Research: A Study of Bradford Distributions using Leimkuhler Model. Journal of Scientometrics Research, 11(3).1-8. https://jscires.org/full-text/6556/
  • Banshal, S. K., Gupta, S., Lathabai, H. H., & Singh, V. K. (2022). Power Laws inaltmetrics: An empirical analysis. Journal of Informetrics, 16(3), 101309. https://doi.org/10.1016/j.joi.2022.101309
  • Conferences/ Symposiums

  • Gupta, S., Singh, V. K., & Banshal, S. K. (2023). On the Quality of altmetric data: An exploratory analysis using Benford’s Law. Proceedings of 19th International Conference on Scientometrics and Informetrics (ISSI), Indiana University, Bloomington, United States,139-154. https://zenodo.org/records/8305637
  • Gupta, S., Kanaujia, A., Bhattacharya, S. & Singh, V. K. (2023). International  University Rankings and Changing University Functions: Underlining indicators to capture societal and entrepreneurial contributions of universities. 27th International Conference on Science, Technology and Innovation Indicators (STI 2023), Leiden, Netherlands. https://doi.org/10.55835/644281c46972d54225e8f684
  • Gupta, S., Kanaujia, A., Bhattacharya, S. & Singh, V.K. (2023). Do international rankings appropriately capture the changing functions of universities? 20th Globelics Conference “Innovation-Driven Knowledge-Economies and Transformation in the Global South”. Kerela, India.
  • Gupta, S. & Singh, V. K. (2023). Exploring trends in Artificial Intelligence Research using Leimkuhler Model of Bradford Distributions. International Conference of Mathematical Society- BHU on “Recent Trends in Mathematical and Computational Sciences (RTMCS), Varanasi, India.
  • Banshal, S. K., Basu, A., Singh, V. K., Gupta, S., & Muhuri, P. K. (2021). Do’altmetric mentions’ follow Power Laws? Evidence from social media mention data in Altmetric. com. Proceedings of 18th International Conference on Scientometrics and Informetrics (ISSI), Leuven, Belgium, 81–93. https://www.issi-society.org/proceedings/issi_2021/Proceedings%20ISSI%202021.pdf
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