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Electronic Properties of Graphene: A Co-author Bibliometric Analysis

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Author Affiliations

  • 1G.N. Khalsa College, Matunga, Mumbai, India
  • 2Vellore institute of Technology, Vellore, Tamil Nadu, India

Res. J. Material Sci., Volume 14, Issue (1), Pages 1-9, February,16 (2026)

Abstract

Astonishing properties possessed by graphene has rewarded this carbon material a high pedestal. Graphene has an atom thick 2D honeycomb hexagonal structure of carbon atoms and has unique electronic properties. It is a zero-band gap material and shows integer quantum hall effect (IQHE) even at room temperature. Electronic properties of graphene offer low sheet resistance and high transmittance which is useful in the production of several electronic devices. Looking into the potential of electronic properties of graphene and the emerging literature a bibliometric study has been undertaken. The data for bibliometric analysis on electronic properties of graphene has been obtained from Web of Science (WOS) database from January 2004 to March 2025. Obtained data been analysed through the bibliometrix R package and VOS-viewer software. Metadata report as obtained through bibliometrix reveals excellent condition of all bibliometric parameters. Number of documents published under various WOS categories have been represented by a donut-chart. Published documents belonging to different categories have been shown through a pi-chart. A bar chart of publishers supporting the research on electronic properties of graphene has been presented. The chart shows that maximum number of documents have been published by Elsevier publishing house. Co-author, analysis has been performed to identify the collaboration among the authors, organizations and countries worldwide. Data has been analysed using different bibliometric indicators viz. number of documents (NDs), citations and total linking strength (TLS). Normalized parameters are assumed to be better performance indicators in bibliometrics to represent the actual contribution of an author, organization or country. So normalized citations (NCs) have been calculated from the WOS data by writing Python code for it. Visualization maps have been created by VOS-viewer software to depict the result using normalized citations as weight.

References

  1. Peierls, R. E. (1935)., Quelques Proprietes Typiques Des Corpses Solides., Annales de l’institut Henri Poincare, 5, 177.
  2. Landau, L. D. (1937)., On the theory of phase transitions., Zh. Eksp. Teor. Fiz., 7, 19–32.
  3. Novoselov K. S. and A. K. Geim et.al. (2004)., Electric Field Effect in Atomically Thin Carbon Films., Science. 306 (5696), 666–669. https://doi.org/DOI: 10.1126/science.1102896.
  4. Geim A. K., Novoselov K.S. (2007)., The Rise of Graphene., Nature Materials, 6, 183–191.
  5. K. S. Novoselov, D. Jiang, F. Schedin and A. K. Geim. (2005)., Two-Dimensional Atomic Crystals., 102(30), 10451–10453. https://doi.org/10.1073/pnas.0502848102.
  6. P. R. Wallace. (1947).The Band Theory of Graphite. Physical Review, 71 (9)., undefined, undefined
  7. D.R. Nelson and L. Peliti. (1947)., Fluctuations in Membranes with Crystalline and Hexatic Order., Journal de Physique, 48(7), 1085–1092.
  8. Castro Nato A. H., Guinea F., Peres N.M.R., Novoselov K.S. and Geim A.K. (2009)., The Electronic Properties of Graphene. Reviews of Modern Physics, 81(1), 109., undefined
  9. I.A. Ovid’ko (2013)., Mechanical Properties of Graphene., Rev. Adv. Mater. Sci., 34, 1–11.
  10. L A Falkovsky (2008)., Optical Properties of Graphene., J. Phys., 129, 012004.
  11. Jingang Wang, Fengcai Ma, Wenjie Liang, Rongming Wang and Mengtao Sun (2017)., Optical, Photonic and Optoelectronic Properties of Graphene, h-BN and Their Hybrid Materials., Nanophotonics, 6(5), 943–976. https://doi.org/DOI 10.1515/nanoph-2017-0015.
  12. Nujiang Tang, Tao Tang Hongzhe Pan, Yuanyuan Sun, Jie Chen and Youwei Du. (2020)., Magnetic Properties of Graphene., Elsevier, pp 137–161.
  13. K. S. Novoselov, E. McCann, S. V. Morozov, V. I. Fal’ko, M. I. Katsnelson, U. Zeitler, D. Jiang, F. Schedin & A. K. Geim (2006)., Unconventional Quantum Hall Effect and Berry’s Phase of 2π in Bilayer Graphene., Nature Physics, 2, 177–180.
  14. SannaL., Anil Bhardwaj, AmitK. Pandit, Sumeet Gupta and Shubham Mahajan (2021)., A Review of Graphene Nanoribbon Field-Effect Transistor Structures. Journal of Electronic Materials, 50, 3. https://doi.org/10.1007/s11664 -021-08859-y., undefined
  15. Zhichao Weng, Sebastian C. Dixon, Lok Yi Lee, Colin J. Humphreys, Ivor Guiney, Oliver Fenwick, and William P. Gillin (2022)., Wafer-Scale Graphene Anodes Replace Indium Tin Oxide in Organic Light-Emitting Diodes., Adv. Optical Mater, 10, 2101675. https://doi.org/10.1002/adom. 202101675.
  16. Zhou, X., Lv, P., Li, M., Xu, J., Cheng, G., Yuan, N., & Ding, J. (2022)., Graphene oxide aerogel foam constructed all-solid electrolyte membranes for lithium batteries., Langmuir, 38(10), 3257-3264.
  17. Hubert B. Heersche, Pablo Jarillo-Herrero1, Jeroen B. Oostinga, Lieven M.K. Vandersypen, Alberto F. Morpurgo (2007)., Induced Superconductivity in Graphene., Solid State Communications, 143, 72–76.
  18. Mohammad Hamidul Islam, Md Rashedul Islam, Marzia Dulal, Shaila Afroj, Nazmul Karim (2022)., The Effect of Surface Treatments and Graphene-Based Modifications on Mechanical Properties of Natural Jute Fiber Composites: A Review., I Science, 25, 103597. https://doi.org/10.1016/ j.isci.2021.103597.
  19. Mohamed S. Selim, Nesreen A. Fatthallah, Shimaa A. Higazy, Hekmat R. Madian, Zhifeng Hao, Xiang Chen (2018)., Metal Oxide-Based Antibacterial Nano-Agents for Wastewater Treatment., Progress Organanic coating, 121, 160.
  20. Yuanhao Wu, Junyao Yang, Alexander van Teijlingen, Alice Berardo, Ilaria Corridori, Jingyu Feng, Jing Xu, Maria-Magdalena Titirici, Jose Carlos Rodriguez-Cabello,; Nicola M Pugno, Jiaming Sun, Wen Wang, Tell Tuttle, Alvaro Mata (2022)., Disinfector-Assisted Low Temperature Reduced Graphene Oxide-Protein Surgical Dressing for the Postoperative Photothermal Treatment of Melanoma., Adv. Funct. Mater, 32, 2205802. https://doi.org/DOI: 10.1002/adfm.202205802.
  21. Sumit Goenkaa, Vinayak Santa and Shilpa Sant (2014)., Graphene-Based Nanomaterials for Drug Delivery and Tissue Engineering., Journal of Controlled Release, 173, 75–88.
  22. Aria, Massimo, Cuccurullo, Corrado (2017)., Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis., J of Informatics, 11(4), 959-75.
  23. K. Subramanyam (1983)., Bibliometric Studies of Research Collaboration: A Review., Journal of Information Science., 6, 33–3.
  24. R. Broadus (1987)., Toward a Definition of “Bibliometrics.”, Scientometrics, 12(5–6), 373–379. https://doi.org/10.1007/bf02016680.
  25. Pritchard, A (1969)., Statistical Bibliography or Bibliometrics., Journal of Documentation, 25, 348–349.
  26. Van Eck, N., & Waltman, L. (2010)., Software survey: VOS viewer, a computer program for bibliometric mapping., scientometrics, 84(2), 523-538.
  27. N. Eck and L. Waltman (2022)., Manual for VOS viewer.,
  28. Zhu, J. and Liu, W. A. (2020)., Tale of Two Databases: The Use of Web of Science and Scopus in Academic Papers., Scientometrics, 123, 321–335.
  29. Pranckutė, R. (2021)., Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world., Publications, 9(1), 12.
  30. Li, K., Rollins, J., & Yan, E. (2018)., Web of Science use in published research and review papers 1997–2017: A selective, dynamic, cross-domain, content-based analysis., Scientometrics, 115(1), 1-20.
  31. HF Moed (2005)., Citation analysis in research evaluation., In New developments in the use of citation analysis in research evaluation; Chapter 4; Springer.
  32. Schneider, J. (2009)., An Outline of the Bibliometric Indicator Used for Performance-Based Funding of Research Institutions in Norway., Eur Polit Sci., 12(8), 364-78.