Micheal Arockiaraj
- Geometry and Topology top 0.5%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Materials Chemistry top 10%
- Inorganic Chemistry top 5%
- Co-authors
- K. BalasubramanianJoseph ClementDaniel PaulS. KavithaJessie AbrahamIndra RajasinghS. PrabhuM. Arulperumjothi
- Topics
- Graph theory and applications (64 papers)Computational Drug Discovery Methods (37 papers)Interconnection Networks and Systems (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsMolecules
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Micheal Arockiaraj
101 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 60
- Geometry and Topology 1.2k
- Computational Theory and Mathematics 1.1k
- Organic Chemistry 639
- Materials Chemistry 359
- Inorganic Chemistry 236
Countries citing papers authored by Micheal Arockiaraj
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 26 | |
| 10 | 68 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 60 | |
| 16 | 17 | |
| 17 | 42 | |
| 18 | 21 | |
| 19 | 39 | |
| 20 | 1 |
About Micheal Arockiaraj
Micheal Arockiaraj is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Inorganic Chemistry, having authored 108 papers that have together received 1.8k indexed citations. Recurring topics across this work include Graph theory and applications (64 papers), Computational Drug Discovery Methods (37 papers) and Interconnection Networks and Systems (23 papers). The work is most often cited by research in Geometry and Topology (1.2k citations), Computational Theory and Mathematics (1.1k citations) and Organic Chemistry (639 citations). Micheal Arockiaraj has collaborated with scholars based in India, United States and China. Frequent co-authors include K. Balasubramanian, Joseph Clement, Daniel Paul, S. Kavitha, Jessie Abraham, Indra Rajasingh, S. Prabhu, M. Arulperumjothi, Sandi Klavžar and Paul Manuel. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecules.
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.