Michael Smith

3.5k total citations
43 papers, 2.4k citations indexed

About

Michael Smith is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Michael Smith has authored 43 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Water Science and Technology, 23 papers in Global and Planetary Change and 19 papers in Atmospheric Science. Recurrent topics in Michael Smith's work include Hydrology and Watershed Management Studies (33 papers), Flood Risk Assessment and Management (19 papers) and Hydrology and Drought Analysis (13 papers). Michael Smith is often cited by papers focused on Hydrology and Watershed Management Studies (33 papers), Flood Risk Assessment and Management (19 papers) and Hydrology and Drought Analysis (13 papers). Michael Smith collaborates with scholars based in United States, Slovenia and Brazil. Michael Smith's co-authors include Ziya Zhang, Victor Koren, Seann Reed, Fekadu Moreda, V. Koren, Dong-Jun Seo, Qingyun Duan, Bryce Finnerty, Dong‐Jun Seo and Soroosh Sorooshian and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Hydrological Processes.

In The Last Decade

Michael Smith

41 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Smith United States	21	2.0k	1.7k	886	758	122	43	2.4k
V. Koren United States	14	1.3k 0.6×	1.1k 0.6×	598 0.7×	499 0.7×	102 0.8×	25	1.6k
Nicolás Le Moine France	17	1.6k 0.8×	1.3k 0.7×	333 0.4×	576 0.8×	101 0.8×	33	1.7k
D. C. Garen United States	18	1.3k 0.6×	988 0.6×	939 1.1×	423 0.6×	132 1.1×	29	1.8k
J. Gurtz Switzerland	19	1.4k 0.7×	1.3k 0.7×	980 1.1×	277 0.4×	76 0.6×	25	1.9k
Thibault Mathevet France	21	1.7k 0.8×	1.4k 0.8×	382 0.4×	599 0.8×	62 0.5×	33	1.9k
Fekadu Moreda United States	14	1.1k 0.6×	901 0.5×	375 0.4×	430 0.6×	78 0.6×	30	1.3k
О. Н. Насонова Russia	16	1.1k 0.5×	837 0.5×	533 0.6×	336 0.4×	77 0.6×	82	1.3k
Charles W. Downer United States	12	1.1k 0.5×	830 0.5×	310 0.3×	609 0.8×	156 1.3×	32	1.4k
Guillaume Thirel France	23	1.3k 0.7×	1.1k 0.6×	500 0.6×	488 0.6×	59 0.5×	72	1.6k
Julien Lerat Australia	22	1.6k 0.8×	1.4k 0.8×	251 0.3×	555 0.7×	88 0.7×	50	1.8k

Countries citing papers authored by Michael Smith

Since Specialization

Citations

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

Fields of papers citing papers by Michael Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Smith

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

All Works

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20 of 20 papers shown

Smith, Michael, et al.. (2021). Validation of Urban Flood Inundation Models Applied Using Nationally Available Data Sets: Novel Analyses of Observed High Water Information. Journal of Hydrologic Engineering. 26(12). 9 indexed citations

Smith, Michael. (2020). Hyper Resolution Modeling of Urban Flood Inundation. National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 1 indexed citations

Koren, Victor, Michael Smith, & Zhengtao Cui. (2014). Physically-based modifications to the Sacramento Soil Moisture Accounting model. Part A: Modeling the effects of frozen ground on the runoff generation process. Journal of Hydrology. 519. 3475–3491. 44 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

Koren, V., Michael Smith, Zhengtao Cui, et al.. (2010). Modification of Sacramento Soil Moisture Accounting Heat Transfer Component (SAC-HT) for enhanced evapotranspiration. 16 indexed citations

Smith, Michael B. & Michael Smith. (2010). Organic Chemistry. 19 indexed citations

Smith, Michael, V. Koren, Ziya Zhang, & Zhengtao Cui. (2009). Distributed Hydrologic Modeling: From Research to Operational Forecasting. World Environmental and Water Resources Congress 2009. 1–10. 2 indexed citations

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

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

10.

Smith, Michael. (2005). Comment on ‘Potential and limitations of 1D modeling of urban flooding’ by O. Mark et al. [J. Hydrol. 299 (2004) 284-299].. Journal of Hydrology. 321(1-4). 1–4. 4 indexed citations

11.

Smith, Michael. (2005). Comment on ‘Analysis and modeling of flooding in urban drainage systems’. Journal of Hydrology. 317(3-4). 355–363. 48 indexed citations

12.

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

13.

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

14.

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

15.

Moreda, Fekadu, et al.. (2002). Evaluation of NEXRAD Rainfall Data in a Lumped and Distributed Hydrologic Models for a Mountainous Watershed. AGUSM. 2002. 1 indexed citations

16.

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

17.

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

18.

Boyle, Douglas P., Hoshin V. Gupta, Soroosh Sorooshian, et al.. (2001). Toward improved streamflow forecasts: value of semidistributed modeling. Water Resources Research. 37(11). 2749–2759. 194 indexed citations

19.

Smith, Michael, Dong Jun Seo, Bryce Finnerty, & Victor Koren. (1996). Distributed Parameter Hydrologic Modeling and NEXRAD for River Forecasting: Scale Issues Facing the National Weather Service. 140–145. 4 indexed citations

20.

Smith, Michael. (1993). A gis‐based distributed parameter hydrologic model for urban areas. Hydrological Processes. 7(1). 45–61. 23 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.

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