Seann Reed

3.2k total citations
52 papers, 2.2k citations indexed

About

Seann Reed is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Seann Reed has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Water Science and Technology, 29 papers in Global and Planetary Change and 18 papers in Atmospheric Science. Recurrent topics in Seann Reed's work include Hydrology and Watershed Management Studies (37 papers), Flood Risk Assessment and Management (20 papers) and Meteorological Phenomena and Simulations (9 papers). Seann Reed is often cited by papers focused on Hydrology and Watershed Management Studies (37 papers), Flood Risk Assessment and Management (20 papers) and Meteorological Phenomena and Simulations (9 papers). Seann Reed collaborates with scholars based in United States, Chile and India. Seann Reed's co-authors include Ziya Zhang, Michael Smith, Fekadu Moreda, Victor Koren, V. Koren, Dong-Jun Seo, David R. Maidment, Dong‐Jun Seo, John C. Schaake and Alfonso Mejía and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Journal of Environmental Quality.

In The Last Decade

Seann Reed

49 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Seann Reed United States	21	1.8k	1.6k	846	676	132	52	2.2k
Michael Smith United States	21	2.0k 1.1×	1.7k 1.1×	886 1.0×	758 1.1×	102 0.8×	43	2.4k
V. Koren United States	14	1.3k 0.7×	1.1k 0.7×	598 0.7×	499 0.7×	54 0.4×	25	1.6k
Wouter Knoben Canada	16	1.4k 0.8×	1.2k 0.8×	434 0.5×	660 1.0×	121 0.9×	38	1.9k
D. C. Garen United States	18	1.3k 0.7×	988 0.6×	939 1.1×	423 0.6×	93 0.7×	29	1.8k
Renata J. Romanowicz Poland	23	1.3k 0.7×	1.3k 0.8×	287 0.3×	436 0.6×	185 1.4×	77	1.8k
Dong‐Jun Seo United States	20	1.3k 0.7×	1.3k 0.8×	972 1.1×	752 1.1×	64 0.5×	73	2.0k
Yasuto Tachikawa Japan	19	1.2k 0.6×	1.3k 0.8×	528 0.6×	354 0.5×	115 0.9×	233	1.6k
P. J. Restrepo United States	16	1.1k 0.6×	865 0.5×	414 0.5×	600 0.9×	92 0.7×	29	1.5k
Ilias Pechlivanidis Sweden	22	1.4k 0.8×	1.3k 0.8×	370 0.4×	481 0.7×	100 0.8×	72	1.8k
О. Н. Насонова Russia	16	1.1k 0.6×	837 0.5×	533 0.6×	336 0.5×	92 0.7×	82	1.3k

Countries citing papers authored by Seann Reed

Since Specialization

Citations

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

Fields of papers citing papers by Seann Reed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seann Reed

This figure shows the co-authorship network connecting the top 25 collaborators of Seann Reed. A scholar is included among the top collaborators of Seann Reed 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 Seann Reed. Seann Reed 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

Reed, Seann. (2020). Validation of NWS Hydrologic Ensemble Forecast Service (HEFS) Real-time Products at the Middle Atlantic River Forecast Center. 1 indexed citations

Sharma, Sanjib, Ridwan Siddique, Seann Reed, et al.. (2018). Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system. Hydrology and earth system sciences. 22(3). 1831–1849. 27 indexed citations

Sharma, Sanjib, et al.. (2018). Skill of ensemble flood inundation forecasts at short- to medium-range timescales. Journal of Hydrology. 568. 207–220. 24 indexed citations

Ward, J., et al.. (2017). Nationwide validation of ensemble streamflow forecasts from the Hydrologic Ensemble Forecast Service (HEFS) of the U.S. National Weather Service. AGUFM. 2017. 2 indexed citations

Zhang, Ziya, Victor Koren, Seann Reed, et al.. (2011). SAC-SMA a priori parameter differences and their impact on distributed hydrologic model simulations. Journal of Hydrology. 420-421. 216–227. 20 indexed citations

Zhang, Yu, Seann Reed, & David Kitzmiller. (2010). Effects of Retrospective Gauge-Based Readjustment of Multisensor Precipitation Estimates on Hydrologic Simulations. Journal of Hydrometeorology. 12(3). 429–443. 24 indexed citations

Reed, Seann, et al.. (2009). Inundation Mapping Using Hydraulic Models and GIS: Case Studies of Steady and Unsteady Models on the Tar River, NC. World Environmental and Water Resources Congress 2009. 1–10. 1 indexed citations

Smith, M. B., et al.. (2006). The Distributed Hydrologic Model Intercomparison Project Phase 2 (DMIP 2): Overview and Initial NWS Results. AGUSM. 2007. 1 indexed citations

Moreda, Fekadu, et al.. (2005). Hydrologic Modeling on a 4km Grid over the Conterminous United States (CONUS). AGUFM. 2005. 1 indexed citations

10.

Moreda, Fekadu, Victor Koren, Ziya Zhang, Seann Reed, & Michael Smith. (2005). Parameterization of distributed hydrological models: learning from the experiences of lumped modeling. Journal of Hydrology. 320(1-2). 218–237. 42 indexed citations

11.

Zhang, Ziya, Michael Smith, Victor Koren, et al.. (2004). 76. A Study of the Relationship between Rainfall Variability and the Improvement of Using a Distributed Model. Tunnelling and Underground Space Technology. 15(2). 188–196. 1 indexed citations

12.

Smith, Michael, V. Koren, Ziya Zhang, et al.. (2004). NOAA NWS distributed hydrologic modeling research and development. 5 indexed citations

13.

Zhang, Ziya, Victor Koren, Michael Smith, Seann Reed, & David Wang. (2004). Use of Next Generation Weather Radar Data and Basin Disaggregation to Improve Continuous Hydrograph Simulations. Journal of Hydrologic Engineering. 9(2). 103–115. 42 indexed citations

14.

Smith, Martha, et al.. (2003). Results of the Distributed Model Intercomparison Project (DMIP). EGS - AGU - EUG Joint Assembly. 6955. 1 indexed citations

15.

Solie, John B., M. L. Stone, W. R. Raun, et al.. (2003). Real-time sensing and N fertilization with a field scale greenseekerTM applicator.. 1546–1556. 14 indexed citations

16.

Koren, Victor, et al.. (2003). Use of spatially variable data in river flood prediction. EGS - AGU - EUG Joint Assembly. 14670. 4 indexed citations

17.

Smith, Michael, et al.. (2002). Evaluating the Results of DMIP: How the NWS will Move Forward with Distributed Modeling. AGUSM. 2002. 1 indexed citations

18.

Koren, Victor, et al.. (2001). Use of NEXRAD Precipitation Estimates in Distributed Modeling: Parameterization, Aggregation Scale, and Data Uncertainties. AGUFM. 2001. 1 indexed citations

19.

Reed, Seann, et al.. (2001). Derivation of Routing Parameters for a Gridded Runoff Model. AGUSM. 2001. 1 indexed citations

20.

Lesser, Victor, et al.. (1982). A High-Level simulation Testbed for cooperative distributed problem solving.. International Conference on Distributed Computing Systems. 341–350. 10 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