Micheal Arockiaraj

2.3k total citations
108 papers, 1.8k citations indexed

About

Micheal Arockiaraj is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Micheal Arockiaraj has authored 108 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Geometry and Topology, 60 papers in Computational Theory and Mathematics and 30 papers in Organic Chemistry. Recurrent topics in Micheal Arockiaraj's work include Graph theory and applications (64 papers), Computational Drug Discovery Methods (37 papers) and Interconnection Networks and Systems (23 papers). Micheal Arockiaraj is often cited by papers focused on Graph theory and applications (64 papers), Computational Drug Discovery Methods (37 papers) and Interconnection Networks and Systems (23 papers). Micheal Arockiaraj collaborates with scholars based in India, United States and China. Micheal Arockiaraj's co-authors include K. Balasubramanian, Joseph Clement, Daniel Paul, S. Kavitha, Jessie Abraham, Indra Rajasingh, S. Prabhu, M. Arulperumjothi, Sandi Klavžar and Paul Manuel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecules.

In The Last Decade

Micheal Arockiaraj

101 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Micheal Arockiaraj India 26 1.2k 1.1k 639 359 236 108 1.8k
Али Реза Ашрафи Iran 26 2.5k 2.2× 2.0k 1.8× 1.5k 2.4× 413 1.2× 91 0.4× 299 3.1k
Fuji Zhang China 25 1.7k 1.5× 1.2k 1.1× 887 1.4× 208 0.6× 47 0.2× 161 2.1k
Muhammad Azeem Pakistan 21 898 0.8× 1.1k 1.0× 265 0.4× 223 0.6× 62 0.3× 146 1.5k
Ante Graovac Croatia 22 1.6k 1.3× 1.3k 1.2× 1.1k 1.8× 326 0.9× 73 0.3× 84 2.0k
Damir Vukičević Croatia 26 2.1k 1.8× 1.8k 1.7× 1.4k 2.1× 266 0.7× 61 0.3× 131 2.8k
Shahid Zaman Pakistan 26 1.1k 0.9× 1.1k 1.0× 503 0.8× 201 0.6× 120 0.5× 85 1.5k
Kinkar Chandra Das South Korea 33 3.6k 3.1× 3.0k 2.7× 2.0k 3.1× 285 0.8× 176 0.7× 298 4.1k
Boris Furtula Serbia 30 3.7k 3.2× 3.3k 3.0× 2.3k 3.5× 377 1.1× 128 0.5× 131 4.1k
Muhammad Faisal Nadeem Pakistan 24 838 0.7× 970 0.9× 334 0.5× 161 0.4× 42 0.2× 121 1.5k
Sakander Hayat China 20 933 0.8× 941 0.9× 520 0.8× 144 0.4× 27 0.1× 40 1.2k

Countries citing papers authored by Micheal Arockiaraj

Since Specialization
Citations

This map shows the geographic impact of Micheal Arockiaraj'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 Micheal Arockiaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micheal Arockiaraj more than expected).

Fields of papers citing papers by Micheal Arockiaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Micheal Arockiaraj. 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 Micheal Arockiaraj. The network helps show where Micheal Arockiaraj may publish in the future.

Co-authorship network of co-authors of Micheal Arockiaraj

This figure shows the co-authorship network connecting the top 25 collaborators of Micheal Arockiaraj. A scholar is included among the top collaborators of Micheal Arockiaraj 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 Micheal Arockiaraj. Micheal Arockiaraj 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.
Clement, Joseph, et al.. (2025). Distance-based network topologies of coro-graphenes. Chemical Papers. 79(12). 8863–8880.
3.
Arockiaraj, Micheal, et al.. (2025). Structural analysis of bond information entropy and HOMO-LUMO gap in CLO and KFI zeolites. Journal of Molecular Structure. 1328. 141276–141276. 1 indexed citations
4.
Paul, Daniel, et al.. (2025). Molecular descriptor-based QSPR analysis of physicochemical properties in neuromuscular drugs. Modern Physics Letters B. 39(28). 1 indexed citations
5.
Arockiaraj, Micheal, et al.. (2024). Degree based hybrid topological indices and entropies of hydrogen bonded benzo-trisimidazole frameworks. Journal of Molecular Structure. 1314. 138740–138740. 9 indexed citations
6.
Paul, Daniel, et al.. (2024). Total Face Irregularity Strength of Certain Graphs. Mathematical Problems in Engineering. 2024. 1–7.
7.
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
8.
Arockiaraj, Micheal, et al.. (2024). Mathematical modeling for prediction of physicochemical characteristics of cardiovascular drugs via modified reverse degree topological indices. The European Physical Journal E. 47(8). 53–53. 11 indexed citations
9.
Arockiaraj, Micheal, et al.. (2023). Entropy structural characterization of zeolites BCT and DFT with bond-wise scaled comparison. Scientific Reports. 13(1). 10874–10874. 26 indexed citations
10.
Arockiaraj, Micheal, et al.. (2023). Refined degree bond partitions, topological indices, graph entropies and machine-generated boron NMR spectral patterns of borophene nanoribbons. Journal of Molecular Structure. 1295. 136524–136524. 15 indexed citations
11.
Arockiaraj, Micheal, et al.. (2022). Relativistic topological and spectral characteristics of zeolite SAS structures. Journal of Molecular Structure. 1270. 133854–133854. 17 indexed citations
12.
Liu, Jia, Micheal Arockiaraj, M. Arulperumjothi, & S. Prabhu. (2021). Distance based and bond additive topological indices of certain repurposed antiviral drug compounds tested for treating COVID‐19. International Journal of Quantum Chemistry. 121(10). e26617–e26617. 60 indexed citations
13.
Prabhu, S., et al.. (2021). Molecular structural characterization of superphenalene and supertriphenylene. International Journal of Quantum Chemistry. 122(2). 17 indexed citations
14.
Zhang, Lin, Tian-Le Sun, Micheal Arockiaraj, M. Arulperumjothi, & S. Prabhu. (2021). Wiener Polarity Index Calculation of Square-Free Graphs and Its Implementation to Certain Complex Materials. Mathematical Problems in Engineering. 2021. 1–13. 2 indexed citations
15.
Arockiaraj, Micheal, et al.. (2021). Second Zagreb and Sigma Indices of Semi and Total Transformations of Graphs. Complexity. 2021(1). 2 indexed citations
16.
Arockiaraj, Micheal, et al.. (2020). Weighted Mostar indices as measures of molecular peripheral shapes with applications to graphene, graphyne and graphdiyne nanoribbons. SAR and QSAR in environmental research. 31(3). 187–208. 42 indexed citations
17.
Arockiaraj, Micheal, Jia‐Bao Liu, M. Arulperumjothi, & S. Prabhu. (2020). On Certain Topological Indices of Three-Layered Single-Walled TitaniaNanosheets. Combinatorial Chemistry & High Throughput Screening. 25(3). 483–495. 21 indexed citations
18.
Prabhu, S., et al.. (2020). Molecular topological characterization of three classes of polycyclic aromatic hydrocarbons. Journal of Molecular Structure. 1229. 129501–129501. 39 indexed citations
19.
Manuel, Paul, Indra Rajasingh, & Micheal Arockiaraj. (2012). WIENER, SZEGED AND VERTEX PI INDICES OF REGULAR TESSELLATIONS. 3(2). 165–183. 1 indexed citations
20.
Arockiaraj, Micheal, Paul Manuel, Indra Rajasingh, & Bharati Rajan. (2011). Wirelength of 1-fault hamiltonian graphs into wheels and fans. Information Processing Letters. 111(18). 921–925. 20 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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