Noor Ul Ain
- Plant Science
- Molecular Biology
- Materials Chemistry
- Social Psychology
- Computational Theory and Mathematics top 10%
- Co-authors
- Muhammad Aqib ShabbirMuhammad NaveedTariq AzizMuhammad Umer AzeemMetab AlharbiAbdullah F. AlasmariMaqbool Hussain SialFasih Ullah Haider
- Topics
- Quantum-Dot Cellular Automata (4 papers)Health and Well-being Studies (3 papers)Advanced Memory and Neural Computing (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionScientific Reports
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Noor Ul Ain
36 papers receiving 381 citations
Peers
Comparison fields: 5 of 122
- Plant Science 61
- Molecular Biology 52
- Materials Chemistry 46
- Social Psychology 42
- Computational Theory and Mathematics 42
Countries citing papers authored by Noor Ul Ain
This map shows the geographic impact of Noor Ul Ain'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 Noor Ul Ain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noor Ul Ain more than expected).
Fields of papers citing papers by Noor Ul Ain
This network shows the impact of papers produced by Noor Ul Ain. 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 Noor Ul Ain. The network helps show where Noor Ul Ain may publish in the future.
Co-authorship network of co-authors of Noor Ul Ain
This figure shows the co-authorship network connecting the top 25 collaborators of Noor Ul Ain. A scholar is included among the top collaborators of Noor Ul Ain 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 Noor Ul Ain. Noor Ul Ain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 21 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | Flipped Classroom and Insight of Students: Progress in Medical Education and Practices | 1 |
| 15 | 0 | |
| 16 | 35 | |
| 17 | Changing Challenges into Opportunities in Higher Education System during COVID-19 through Digital Education | 1 |
| 18 | DYSFUNCTIONAL BELIEFS AND ATTITUDES ABOUT SLEEP IN UNDERGRADUATE MEDICAL AND DENTAL STUDENTS | 3 |
| 19 | 10 | |
| 20 | MANIFESTATION OF ZINC DEFICIT IN KARACHI PAKISTAN; A CROSS SECTIONAL STUDY | 1 |
About Noor Ul Ain
Noor Ul Ain is a scholar working on Horticulture, Business and International Management and Applied Microbiology and Biotechnology, having authored 45 papers that have together received 389 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (4 papers), Health and Well-being Studies (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Drug Discovery (1 citation), Communication (37 citations) and Organizational Behavior and Human Resource Management (39 citations). Noor Ul Ain has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Muhammad Aqib Shabbir, Muhammad Naveed, Tariq Aziz, Muhammad Umer Azeem, Metab Alharbi, Abdullah F. Alasmari, Maqbool Hussain Sial, Fasih Ullah Haider, Shafiq ur Rehman and Nima Jafari Navimipour. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.
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.