Muhammad Imran

4.4k total citations
235 papers, 3.4k citations indexed

About

Muhammad Imran is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Organic Chemistry. According to data from OpenAlex, Muhammad Imran has authored 235 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Computational Theory and Mathematics, 155 papers in Geometry and Topology and 76 papers in Organic Chemistry. Recurrent topics in Muhammad Imran's work include Graph theory and applications (154 papers), Computational Drug Discovery Methods (108 papers) and Graph Labeling and Dimension Problems (63 papers). Muhammad Imran is often cited by papers focused on Graph theory and applications (154 papers), Computational Drug Discovery Methods (108 papers) and Graph Labeling and Dimension Problems (63 papers). Muhammad Imran collaborates with scholars based in Pakistan, United Arab Emirates and China. Muhammad Imran's co-authors include Sakander Hayat, Muhammad Kamran Siddiqui, Abdul Qudair Baig, Shehnaz Akhter, Mohammad Reza Farahani, Ali Ahmad, Hafiz Muhammad Afzal Siddiqui, Wei Gao, Haidar Ali and Syed Ahtsham Ul Haq Bokhary and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Imran

222 papers receiving 3.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muhammad Imran Pakistan 32 2.7k 2.5k 1.2k 319 225 235 3.4k
Muhammad Kamran Siddiqui Pakistan 30 3.1k 1.2× 2.8k 1.1× 1.5k 1.2× 487 1.5× 330 1.5× 280 4.0k
Mohammad Reza Farahani Iran 27 1.9k 0.7× 2.1k 0.8× 1.2k 1.0× 226 0.7× 118 0.5× 269 2.9k
Bo Zhou China 35 2.9k 1.1× 3.9k 1.6× 2.1k 1.7× 451 1.4× 553 2.5× 267 4.9k
Heping Zhang China 26 1.3k 0.5× 1.7k 0.7× 919 0.7× 331 1.0× 212 0.9× 215 2.6k
Muhammad Faisal Nadeem Pakistan 24 970 0.4× 838 0.3× 334 0.3× 161 0.5× 96 0.4× 121 1.5k
Abdul Qudair Baig Pakistan 18 796 0.3× 710 0.3× 368 0.3× 104 0.3× 95 0.4× 80 1.2k
Adnan Aslam Pakistan 24 931 0.4× 907 0.4× 467 0.4× 106 0.3× 95 0.4× 145 1.7k
Muhammad Kamran Jamil Pakistan 27 791 0.3× 793 0.3× 443 0.4× 105 0.3× 30 0.1× 143 2.3k
Darko Dimitrov Germany 19 706 0.3× 727 0.3× 386 0.3× 104 0.3× 45 0.2× 58 1.1k
Sakander Hayat China 20 941 0.4× 933 0.4× 520 0.4× 144 0.5× 59 0.3× 40 1.2k

Countries citing papers authored by Muhammad Imran

Since Specialization
Citations

This map shows the geographic impact of Muhammad Imran's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Muhammad Imran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Imran more than expected).

Fields of papers citing papers by Muhammad Imran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Imran. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Muhammad Imran. The network helps show where Muhammad Imran may publish in the future.

Co-authorship network of co-authors of Muhammad Imran

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran. A scholar is included among the top collaborators of Muhammad Imran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Imran. Muhammad Imran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Imran, Muhammad, et al.. (2025). Inverse Sum Indeg Spectrum of q-Broom-like Graphs and Applications. Mathematics. 13(15). 2346–2346.
3.
Imran, Muhammad, et al.. (2024). Molecular descriptors of symmetrically configured carbon nanocones via quotient graph technique. Ain Shams Engineering Journal. 15(12). 103095–103095. 1 indexed citations
4.
Khan, Abdul Rauf, et al.. (2024). Degree-based topological indices and entropies of diamond crystals. Science Progress. 107(3). 342242215–342242215. 4 indexed citations
5.
Prabhu, S., et al.. (2024). Several distance and degree-based molecular structural attributes of cove-edged graphene nanoribbons. Heliyon. 10(15). e34944–e34944. 5 indexed citations
6.
Shahzad, Muhammad Wakil, Ben Bin Xu, Rasikh Tariq, et al.. (2024). Machine learning assisted prediction of solar to liquid fuel production: a case study. Process Safety and Environmental Protection. 184. 1119–1130. 26 indexed citations
7.
Imran, Muhammad, et al.. (2023). On automorphisms and fixing number of co-normal product of graphs. Indian Journal of Pure and Applied Mathematics. 55(4). 1210–1221. 1 indexed citations
8.
Mondal, Sourav, Muhammad Imran, Nilanjan De, & Anita Pal. (2023). Topological Indices of Total Graph and Zero Divisor Graph of Commutative Ring: A Polynomial Approach. Complexity. 2023. 1–16. 4 indexed citations
9.
Amjad, Hassan, et al.. (2023). Emerging horizons in 3D printed cement-based materials with nanomaterial integration: A review. Construction and Building Materials. 411. 134815–134815. 30 indexed citations
10.
Imran, Muhammad, et al.. (2023). A paradigmatic approach to the molecular descriptor computation for some antiviral drugs. Heliyon. 9(11). e21401–e21401. 3 indexed citations
11.
Imran, Muhammad, Abdul Rauf Khan, Mohamad Nazri Husin, et al.. (2023). Computation of Entropy Measures for Metal-Organic Frameworks. Molecules. 28(12). 4726–4726. 29 indexed citations
12.
Prabhu, S., et al.. (2023). Computational Analysis of Some More Rectangular Tessellations of Kekulenes and Their Molecular Characterizations. Molecules. 28(18). 6625–6625. 12 indexed citations
13.
Jayalakshmi, V., et al.. (2022). Genetic diversity in working germplasm collection of kabuli chickpea (Cicer arietinum L.). Electronic Journal of Plant Breeding. 13(1). 230–234. 2 indexed citations
14.
Das, Angsuman, et al.. (2021). On twin preserving spanning subgraph. Journal of Intelligent & Fuzzy Systems. 40(5). 9505–9513. 1 indexed citations
15.
Bača, Martin, Muhammad Imran, & Andrea Semaničová–Feňovčíková. (2021). Irregularity and Modular Irregularity Strength of Wheels. Mathematics. 9(21). 2710–2710. 6 indexed citations
16.
Imran, Muhammad, et al.. (2021). Properties of Total Transformation Graphs for General Sum‐Connectivity Index. Complexity. 2021(1).
17.
Guirao, Juan L. G., Muhammad Imran, Muhammad Kamran Siddiqui, & Shehnaz Akhter. (2020). On Valency-Based Molecular Topological Descriptors of Subdivision Vertex-Edge Join of Three Graphs. Symmetry. 12(6). 1026–1026. 16 indexed citations
18.
Imran, Muhammad, Syed Ahtsham Ul Haq Bokhary, Abdul Qudair Baig, & Ioan Tomescu. (2016). On metric dimension of convex polytopes with pendant edges.. Ars Combinatoria. 125. 433–447. 1 indexed citations
19.
Husin, Mohamad Nazri, et al.. (2015). The edge version of geometric arithmetic index of nanotubes and nanotori. Optoelectronics and Advanced Materials Rapid Communications. 9. 1292–1300. 5 indexed citations
20.
Ahmad, Ali, Muhammad Kamran Siddiqui, Muhammad Faisal Nadeem, & Muhammad Imran. (2012). On super edge magic deficiency of kite graphs.. Ars Combinatoria. 107. 201–208. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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