@article{3901,
  author = {Naveen Chaparwal, P.S. Rajput},
  title = {An in-depth Scientometric Analysis of the 100 Most Cited Articles on Biomass Research},
  journal = {Journal of Science and Technology Metrics},
  year = {2023},
  volume = {4},
  number = {3},
  doi = {https://doi.org/10.6025/stm/2023/4/3/90-103},
  url = {https://www.dline.info/jstm/fulltext/v4n3/jstmv4n3_2.pdf},
  abstract = {In this study, we conducted a scientometric analysis of the 100 most cited articles on biomass to gain a comprehensive understanding of the biomass research landscape. This study analysis includes an examination of annual total citations per year, top journals with high impact factors and total citations, relevant sources, author indexes, affiliations, keyword frequency, and co-authorship networks. The findings reveal trends in citation impact over time, highlighting the recognition received by articles across different years. Top journals, such as Nature and Science, are identified as influential sources in terms of impact factor and total citations. The analysis of author indexes sheds light on the productivity and impact of top authors, while relevant affiliations are identified based on the number of associated articles. Frequent keywords provide insights into key focus areas within biomass research. Co-authorship networks reveal collaborative relationships among authors, organizations, and countries. These findings contribute to a deeper understanding of citation impact, source relevance, author productivity, affiliations, keyword trends, and collaboration patterns within the field of study. Researchers can utilize these insights to identify influential works, establish research collaborations, and explore emerging trends within the field of study.},
}