Bahaa Khalil
- Environmental Engineering top 1%
- Global and Planetary Change top 2%
- Water Science and Technology top 1%
- Atmospheric Science top 10%
- Electrical and Electronic Engineering
- Co-authors
- Jan AdamowskiBogdan Ozga-ZielińskiAnteneh BelaynehD. NalleyTaha B. M. J. OuardaAndré St‐HilaireJohn QuiltyMaheswaran Rathinasamy
- Topics
- Hydrological Forecasting Using AI (20 papers)Water Quality and Pollution Assessment (12 papers)Hydrology and Watershed Management Studies (11 papers)
In The Last Decade
Bahaa Khalil
32 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Environmental Engineering 972
- Global and Planetary Change 956
- Water Science and Technology 883
- Atmospheric Science 205
- Electrical and Electronic Engineering 164
Countries citing papers authored by Bahaa Khalil
This map shows the geographic impact of Bahaa Khalil'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 Bahaa Khalil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bahaa Khalil more than expected).
Fields of papers citing papers by Bahaa Khalil
This network shows the impact of papers produced by Bahaa Khalil. 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 Bahaa Khalil. The network helps show where Bahaa Khalil may publish in the future.
Co-authorship network of co-authors of Bahaa Khalil
This figure shows the co-authorship network connecting the top 25 collaborators of Bahaa Khalil. A scholar is included among the top collaborators of Bahaa Khalil 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 Bahaa Khalil. Bahaa Khalil 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 | 7 | |
| 3 | 28 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 19 | |
| 7 | 12 | |
| 8 | 50 | |
| 9 | 1 | |
| 10 | 132 | |
| 11 | Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression modelsbreakdown → | 396 |
| 12 | 9 | |
| 13 | 22 | |
| 14 | 32 | |
| 15 | 10 | |
| 16 | 29 | |
| 17 | Statistical analyses of the adequacy of the surface water quality monitoring network in Saskatchewan. | 1 |
| 18 | 137 | |
| 19 | 60 | |
| 20 | 69 |
About Bahaa Khalil
Bahaa Khalil is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (20 papers), Water Quality and Pollution Assessment (12 papers) and Hydrology and Watershed Management Studies (11 papers). The work is most often cited by research in Environmental Engineering (972 citations), Water Science and Technology (883 citations) and Global and Planetary Change (956 citations). Bahaa Khalil has collaborated with scholars based in Canada, Egypt and Poland. Frequent co-authors include Jan Adamowski, Bogdan Ozga-Zieliński, Anteneh Belayneh, D. Nalley, Taha B. M. J. Ouarda, André St‐Hilaire, John Quilty, Maheswaran Rathinasamy, Kate Reilly and Abdul Shabbir. Their work appears in journals such as Water Resources Research, Journal of Hydrology and Hydrology and earth system sciences.
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.