Mariush Kemblowski
- Environmental Engineering top 1%
- Water Science and Technology top 2%
- Global and Planetary Change top 5%
- Civil and Structural Engineering top 5%
- Geochemistry and Petrology top 5%
- Co-authors
- Mac McKeeTirusew AsefaAbedalrazq F. KhalilM. Kashif GillRichard L. JohnsonPaul C. JohnsonLuis BastidasUpmanu Lall
- Topics
- Hydrological Forecasting Using AI (6 papers)Groundwater flow and contamination studies (6 papers)Soil and Unsaturated Flow (5 papers)
- Partner nations
- United StatesTaiwan
In The Last Decade
Mariush Kemblowski
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Environmental Engineering 812
- Water Science and Technology 413
- Global and Planetary Change 286
- Civil and Structural Engineering 200
- Geochemistry and Petrology 168
Countries citing papers authored by Mariush Kemblowski
This map shows the geographic impact of Mariush Kemblowski'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 Mariush Kemblowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariush Kemblowski more than expected).
Fields of papers citing papers by Mariush Kemblowski
This network shows the impact of papers produced by Mariush Kemblowski. 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 Mariush Kemblowski. The network helps show where Mariush Kemblowski may publish in the future.
Co-authorship network of co-authors of Mariush Kemblowski
This figure shows the co-authorship network connecting the top 25 collaborators of Mariush Kemblowski. A scholar is included among the top collaborators of Mariush Kemblowski 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 Mariush Kemblowski. Mariush Kemblowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 245 | |
| 3 | 42 | |
| 4 | 133 | |
| 5 | 28 | |
| 6 | 44 | |
| 7 | 47 | |
| 8 | 251 | |
| 9 | 73 | |
| 10 | 13 | |
| 11 | 82 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | Assessing the significance of subsurface contaminant vapor migration to enclosed spaces: site-specific alternatives to generic estimates | 53 |
| 15 | 8 | |
| 16 | 42 |
About Mariush Kemblowski
Mariush Kemblowski is a scholar working on Environmental Engineering, Civil and Structural Engineering and Industrial and Manufacturing Engineering, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (6 papers), Groundwater flow and contamination studies (6 papers) and Soil and Unsaturated Flow (5 papers). The work is most often cited by research in Environmental Engineering (812 citations), Water Science and Technology (413 citations) and Geochemistry and Petrology (168 citations). Mariush Kemblowski has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Mac McKee, Tirusew Asefa, Abedalrazq F. Khalil, M. Kashif Gill, Richard L. Johnson, Paul C. Johnson, Luis Bastidas, Upmanu Lall, Cristin L. Bruce and Qiang Shu. Their work appears in journals such as Environmental Science & Technology, Water Resources Research and Journal of Hydrology.
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.