Rafia Mumtaz
- Plant Science top 5%
- Environmental Engineering top 2%
- Water Science and Technology top 2%
- Computer Networks and Communications top 5%
- Ecology top 10%
- Co-authors
- Uferah ShafiJosé García-NietoSyed Mohammad Hassan ZaidiSyed Ali Raza ZaidiNaveed IqbalHirra AnwarSyed Ali HassanUmair Ahmed
- Topics
- Smart Agriculture and AI (11 papers)Water Quality Monitoring Technologies (10 papers)Remote Sensing in Agriculture (10 papers)
- Cited by
- Environmental EngineeringWater Science and TechnologyIndustrial and Manufacturing Engineering
- Partner nations
- PakistanUnited KingdomUnited States
In The Last Decade
Rafia Mumtaz
68 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Plant Science 608
- Environmental Engineering 560
- Water Science and Technology 540
- Computer Networks and Communications 263
- Ecology 240
Countries citing papers authored by Rafia Mumtaz
This map shows the geographic impact of Rafia Mumtaz'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 Rafia Mumtaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafia Mumtaz more than expected).
Fields of papers citing papers by Rafia Mumtaz
This network shows the impact of papers produced by Rafia Mumtaz. 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 Rafia Mumtaz. The network helps show where Rafia Mumtaz may publish in the future.
Co-authorship network of co-authors of Rafia Mumtaz
This figure shows the co-authorship network connecting the top 25 collaborators of Rafia Mumtaz. A scholar is included among the top collaborators of Rafia Mumtaz 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 Rafia Mumtaz. Rafia Mumtaz 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 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | Comparing the preventive behavior of medical students and physicians in the era of COVID-19: Novel medical problems demand novel curricular interventions (vol 48, pg 473, 2020) | 1 |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 26 | |
| 17 | Precision Agriculture Techniques and Practices: From Considerations to Applicationsbreakdown → | 440 |
| 18 | 77 | |
| 19 | 9 | |
| 20 | 25 |
About Rafia Mumtaz
Rafia Mumtaz is a scholar working on Environmental Engineering, Water Science and Technology and Industrial and Manufacturing Engineering, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Water Quality Monitoring Technologies (10 papers) and Remote Sensing in Agriculture (10 papers). The work is most often cited by research in Environmental Engineering (560 citations), Water Science and Technology (540 citations) and Industrial and Manufacturing Engineering (186 citations). Rafia Mumtaz has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Uferah Shafi, José García-Nieto, Syed Mohammad Hassan Zaidi, Syed Ali Raza Zaidi, Naveed Iqbal, Hirra Anwar, Syed Ali Hassan, Umair Ahmed, Sadaf Mumtaz and Asad Ali Shah. Their work appears in journals such as IEEE Access, Sensors and International Journal of Remote Sensing.
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.