Dr. Sourav Mondal
Mathematics, University of Sharjah, Sharjah, Ash Shāriqah, United Arab Emirates
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Academic Career Length
9Years (2018-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications7 January 2021 in Complex & Intelligent Systems
Journal Article
Topological index is a numerical value associated with a chemical constitution for correlation of chemical structure with various physical properties, chemical reactivity or biological activity. In this work, some new indices based on neighborhood degree sum of nodes are proposed. To make the computation of the novel indices convenient, an algorithm is designed. Quantitative structure property relationship (QSPR) study is a good statistical method for investigating drug activity or binding mode for different receptors. QSPR analysis of the newly introduced indices is studied here which reveals their predicting power. A comparative study of the novel indices with some well-known and mostly used indices in structure-property modelling and isomer discrimination is performed. Some mathematical properties of these indices are also discussed here.
27 May 2020 in Polycyclic Aromatic Compounds
Journal Article
The novel coronavirus disease 2019 (COVID-19) emerged in Wuhan, China, and has spread rapidly to nearly every part of the world. Unfortunately, no drug or vaccine has been accepted for the treatment of this pandemic. Researchers have established the efficacy of some existing antiviral drugs to control COVID-19 in vitro. Some of them are remdesivir (GS-5734), chloroquine, hydroxychloroquine, theaflavin. Topological indices are mathematical interpretations of a molecule generated by an algorithm implemented to a given molecular representation. Topological indices are used to model different physicochemical properties and biological activities of chemical compounds. In this work, some degree-based and neighborhood degree sum-based topological indices are investigated for the aforesaid antiviral drugs using polynomial approach. The results obtained can aid in the design of new medicine for the treatment of COVID-19.
1 December 2019 in International Journal of Mathematics for Industry
Journal Article
Topological indices are numeric quantities that transform chemical structure to real number. Topological indices are used in QSAR/QSPR studies to correlate the bioactivity and physiochemical properties of molecule. In this paper, some newly designed neighborhood degree-based topological indices named as neighborhood Zagreb index ( ), neighborhood version of Forgotten topological index ( ), modified neighborhood version of Forgotten topological index ( ), neighborhood version of second Zagreb index ( ) and neighborhood version of hyper Zagreb index ( ) are obtained for Graphene and line graph of Graphene using subdivision idea. In addition, these indices are compared graphically with respect to their response for Graphene and line graph of subdivision of Graphene.
9 March 2021 in The European Physical Journal Plus
Journal Article
7 May 2023 in Journal of Applied Mathematics and Computing
Journal Article
Sourav Mondal
Kinkar Chandra Das14 November 2022 in The European Physical Journal Plus
Journal Article
About Me
Dr. Sourav Mondal is a Researcher in the Department of Mathematics at the University of Sharjah, United Arab Emirates. He received his Ph.D. in Mathematics from the National Institute of Technology Durgapur, India, in 2022. Prior to joining the University of Sharjah, he held a postdoctoral fellowship at Sungkyunkwan University, Republic of Korea, and served as an Assistant Professor at SRM Institute of Science and Technology, India.
His research interests include Extremal Graph Theory, Chemical Graph Theory, Spectral Graph Theory, Graph Invariants, and Quantitative Structure–Property/Activity Relationship (QSPR/QSAR) modeling. His work focuses on the development and analysis of graph-theoretical descriptors, extremal problems for graph invariants, graph energies, and applications of topological indices in mathematical chemistry.
Dr. Mondal has authored more than 60 research publications, including over 50 SCIE-indexed articles, with over 1,800 citations and an h-index of 22 (Google Scholar). He has contributed to the resolution of several open problems in chemical graph theory and has introduced and studied novel graph descriptors with applications in molecular property prediction. In 2025, he was recognized in the Stanford–Elsevier World's Top 2% Scientists list. He actively serves the research community as a reviewer for several international journals and as a Guest Editor of a special issue in an SCIE-indexed journal.