Mehraj‐ud‐din Naik
- Materials Chemistry top 10%
- Mechanical Engineering top 5%
- Biomedical Engineering top 10%
- Inorganic Chemistry top 5%
- Modeling and Simulation top 2%
- Co-authors
- Lekha Charan MeherS.N. NaikL. M. DasParvaiz Ahmad NaikSami‐ullah RatherR.P. AgarwalaJian ZuMudasir Ahmad
- Topics
- Nuclear Materials and Properties (14 papers)Radioactive element chemistry and processing (11 papers)Hydrogen Storage and Materials (9 papers)
- Cited by
- Modeling and SimulationEnergy Engineering and Power TechnologyFluid Flow and Transfer Processes
- Journals
- SHILAP Revista de lepidopterologíaAnalytical ChemistryCoordination Chemistry Reviews
- Partner nations
- IndiaSaudi ArabiaChina
In The Last Decade
Mehraj‐ud‐din Naik
60 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Materials Chemistry 612
- Mechanical Engineering 412
- Biomedical Engineering 398
- Inorganic Chemistry 231
- Modeling and Simulation 181
Countries citing papers authored by Mehraj‐ud‐din Naik
This map shows the geographic impact of Mehraj‐ud‐din Naik'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 Mehraj‐ud‐din Naik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehraj‐ud‐din Naik more than expected).
Fields of papers citing papers by Mehraj‐ud‐din Naik
This network shows the impact of papers produced by Mehraj‐ud‐din Naik. 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 Mehraj‐ud‐din Naik. The network helps show where Mehraj‐ud‐din Naik may publish in the future.
Co-authorship network of co-authors of Mehraj‐ud‐din Naik
This figure shows the co-authorship network connecting the top 25 collaborators of Mehraj‐ud‐din Naik. A scholar is included among the top collaborators of Mehraj‐ud‐din Naik 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 Mehraj‐ud‐din Naik. Mehraj‐ud‐din Naik 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 | 2 | |
| 3 | 16 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | Memory impacts in hepatitis C: A global analysis of a fractional-order model with an effective treatmentbreakdown → | 66 |
| 8 | 6 | |
| 9 | 18 | |
| 10 | 30 | |
| 11 | 37 | |
| 12 | 10 | |
| 13 | 15 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 9 | |
| 19 | 9 | |
| 20 | 11 |
About Mehraj‐ud‐din Naik
Mehraj‐ud‐din Naik is a scholar working on Energy Engineering and Power Technology, Modeling and Simulation and Inorganic Chemistry, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nuclear Materials and Properties (14 papers), Radioactive element chemistry and processing (11 papers) and Hydrogen Storage and Materials (9 papers). The work is most often cited by research in Modeling and Simulation (181 citations), Energy Engineering and Power Technology (86 citations) and Fluid Flow and Transfer Processes (111 citations). Mehraj‐ud‐din Naik has collaborated with scholars based in India, Saudi Arabia and China. Frequent co-authors include Lekha Charan Meher, S.N. Naik, L. M. Das, Parvaiz Ahmad Naik, Sami‐ullah Rather, R.P. Agarwala, Jian Zu, Mudasir Ahmad, Kee Suk Nahm and Sang Woon Hwang. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Coordination Chemistry Reviews.
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.