A. Rafieeinasab

606 total citations
25 papers, 287 citations indexed

About

A. Rafieeinasab is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, A. Rafieeinasab has authored 25 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Water Science and Technology, 11 papers in Global and Planetary Change and 10 papers in Atmospheric Science. Recurrent topics in A. Rafieeinasab's work include Hydrology and Watershed Management Studies (16 papers), Flood Risk Assessment and Management (8 papers) and Meteorological Phenomena and Simulations (7 papers). A. Rafieeinasab is often cited by papers focused on Hydrology and Watershed Management Studies (16 papers), Flood Risk Assessment and Management (8 papers) and Meteorological Phenomena and Simulations (7 papers). A. Rafieeinasab collaborates with scholars based in United States, Mexico and South Korea. A. Rafieeinasab's co-authors include Haksu Lee, Amir Mohammad Norouzi, Dong Jun Seo, B. Cosgrove, Sunghee Kim, Dong-Jun Seo, Zhengtao Cui, Sunghee Kim, O. P. Sreejith and J. L. McCreight and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Hydrological Processes.

In The Last Decade

A. Rafieeinasab

25 papers receiving 282 citations

Peers

A. Rafieeinasab

GPC

WST

ECOLO

Katia Chancibault France

Béatrice Vincendon France

Leizhi Wang China

Nergui Nanding China

Sella Nevo United States

Ian McNamara Germany

Murray Dale United Kingdom

Rob Cifelli United States

Parthkumar Modi United States

Fábio L.R. Diniz Brazil

Katia Chancibault France

A. Rafieeinasab

266 ×1.2

GPC

167 ×1.0

WST

156 ×1.0

95 ×1.1

9 ×0.6

ECOLO

Citations per year, relative to A. Rafieeinasab A. Rafieeinasab (= 1×) peers Katia Chancibault

Countries citing papers authored by A. Rafieeinasab

Since Specialization

Citations

This map shows the geographic impact of A. Rafieeinasab'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 A. Rafieeinasab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Rafieeinasab more than expected).

Fields of papers citing papers by A. Rafieeinasab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Rafieeinasab. 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 A. Rafieeinasab. The network helps show where A. Rafieeinasab may publish in the future.

Co-authorship network of co-authors of A. Rafieeinasab

This figure shows the co-authorship network connecting the top 25 collaborators of A. Rafieeinasab. A scholar is included among the top collaborators of A. Rafieeinasab 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 A. Rafieeinasab. A. Rafieeinasab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gharamti, Mohamad El, A. Rafieeinasab, & J. L. McCreight. (2024). Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction. Hydrology and earth system sciences. 28(14). 3133–3159. 2 indexed citations

Rafieeinasab, A., et al.. (2024). Ensemble Methods for Parameter Estimation of WRF‐Hydro. Water Resources Research. 61(1). 1 indexed citations

Hughes, Mimi, Darren L. Jackson, D. M. Unruh, et al.. (2024). Evaluation of Retrospective National Water Model Soil Moisture and Streamflow for Drought‐Monitoring Applications. Journal of Geophysical Research Atmospheres. 129(6). 10 indexed citations

Read, Laura, et al.. (2023). Development and evaluation of the channel routing model and parameters within the National Water Model. JAWRA Journal of the American Water Resources Association. 59(5). 1051–1066. 11 indexed citations

Gharamti, Mohamad El, et al.. (2021). Ensemble Streamflow Data Assimilation using WRF-Hydro and DART: Hurricane Florence Flooding. 1 indexed citations

Gharamti, Mohamad El, et al.. (2021). Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding. Hydrology and earth system sciences. 25(9). 5315–5336. 19 indexed citations

Saharia, Manabendra, et al.. (2021). India flood inventory: creation of a multi-source national geospatial database to facilitate comprehensive flood research. Natural Hazards. 108(1). 619–633. 39 indexed citations

McAllister, Mary Louise, David Gochis, Michael Barlage, et al.. (2020). The Community WRF-Hydro Modeling System Version 5.2 Updates & New Community Focused Testbed. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

Xue, Z. George, et al.. (2020). A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro. Water. 12(6). 1840–1840. 9 indexed citations

10.

Feng, Xiangyu, A. Rafieeinasab, David Kitzmiller, et al.. (2019). Calibrating the National Water Model V2.1 over the Contiguous United States. AGU Fall Meeting Abstracts. 2019. 2 indexed citations

11.

Castronova, Anthony M., A. L. Dugger, A. Rafieeinasab, et al.. (2019). Improving Access to Continental-Scale Hydrology Models for Research and Education - A Subsetting Adventure. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

12.

Cosgrove, B., A. L. Dugger, K. M. Sampson, et al.. (2018). Multi-variate evaluation of the NOAA National Water Model. AGU Fall Meeting Abstracts. 2018. 2 indexed citations

13.

McAllister, Mary Louise, David Gochis, Michael Barlage, et al.. (2018). The Community WRF-Hydro Modeling System Version 5 melding with the National Water Model: Enhancements and Education. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

14.

Castronova, Anthony M., et al.. (2018). Disseminating CONUS National Water Model Simulation Data at Watershed Scales to Engage a Broad Community of Water Scientists. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

15.

Gochis, David, Michael Barlage, A. L. Dugger, et al.. (2018). WRF-Hydro Model Source Code Version 5. UCAR/NCAR. 16 indexed citations

16.

Dugger, A. L., A. Rafieeinasab, David Gochis, et al.. (2016). Evaluating CONUS-Scale Runoff Simulation across the National Water Model WRF-Hydro Implementation to Disentangle Regional Controls on Streamflow Generation and Model Error Contribution. AGU Fall Meeting Abstracts. 2016. 1 indexed citations

17.

Saghafian, Bahram, et al.. (2016). An Integrated Approach for Site Selection of Snow Measurement Stations. Water. 8(11). 539–539. 2 indexed citations

18.

Rafieeinasab, A., et al.. (2016). Evaluation of streamflow forecast for the National Water Model of U.S. National Weather Service. AGUFM. 2016. 1 indexed citations

19.

Rafieeinasab, A., Amir Mohammad Norouzi, Dong Jun Seo, & Brian R. Nelson. (2015). Improving high-resolution quantitative precipitation estimation via fusion of multiple radar-based precipitation products. Journal of Hydrology. 531. 320–336. 18 indexed citations

20.

Rafieeinasab, A., Dong-Jun Seo, Haksu Lee, & Sunghee Kim. (2014). Comparative evaluation of maximum likelihood ensemble filter and ensemble Kalman filter for real-time assimilation of streamflow data into operational hydrologic models. Journal of Hydrology. 519. 2663–2675. 37 indexed citations

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.

Explore authors with similar magnitude of impact