M. S. Pervez
- Global and Planetary Change top 10%
- Ecology top 10%
- Water Science and Technology top 10%
- Atmospheric Science
- Environmental Engineering top 10%
- Co-authors
- Jesslyn F. BrownJames RowlandMichael BuddeGeoffrey M. HenebryJ. P. VerdinK. O. AsanteG. A. ArtanChristina Bandaragoda
- Topics
- Remote Sensing in Agriculture (4 papers)Hydrology and Watershed Management Studies (4 papers)Hydrological Forecasting Using AI (3 papers)
- Partner nations
- United StatesIndia
In The Last Decade
M. S. Pervez
13 papers receiving 370 citations
Peers
Comparison fields: 5 of 42
- Global and Planetary Change 245
- Ecology 190
- Water Science and Technology 119
- Atmospheric Science 97
- Environmental Engineering 81
Countries citing papers authored by M. S. Pervez
This map shows the geographic impact of M. S. Pervez'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 M. S. Pervez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. S. Pervez more than expected).
Fields of papers citing papers by M. S. Pervez
This network shows the impact of papers produced by M. S. Pervez. 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 M. S. Pervez. The network helps show where M. S. Pervez may publish in the future.
Co-authorship network of co-authors of M. S. Pervez
This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Pervez. A scholar is included among the top collaborators of M. S. Pervez 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 M. S. Pervez. M. S. Pervez 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 | Multi-model perspectives and inter-comparison of soil moisture and evapotranspiration in East Africa—an application of Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) | 1 |
| 3 | Hydrologic Modeling for Monitoring Water Availability in Africa | 1 |
| 4 | Evaluation of Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) and application in East Africa | 1 |
| 5 | 46 | |
| 6 | Land Surface Modeling Applications for Famine Early Warning | 1 |
| 7 | 106 | |
| 8 | 1 | |
| 9 | 185 | |
| 10 | Accuracy Assessment of the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the Conterminous United States (MIrAD-US) | 1 |
| 11 | 17 | |
| 12 | 28 | |
| 13 | Integration of SRTM DEM and Hydraulic Analysis for Flood Response Planning. | 1 |
About M. S. Pervez
M. S. Pervez is a scholar working on Environmental Engineering, Water Science and Technology and Ecological Modeling, having authored 13 papers that have together received 390 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (4 papers), Hydrology and Watershed Management Studies (4 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Global and Planetary Change (245 citations), Water Science and Technology (119 citations) and Ecology (190 citations). M. S. Pervez has collaborated with scholars based in United States and India. Frequent co-authors include Jesslyn F. Brown, James Rowland, Michael Budde, Geoffrey M. Henebry, J. P. Verdin, K. O. Asante, G. A. Artan, Christina Bandaragoda, J. Dungan Smith and Amy McNally. Their work appears in journals such as Remote Sensing of Environment, Frontiers in Immunology and 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.