Justin Davis

427 total citations
39 papers, 315 citations indexed

About

Justin Davis is a scholar working on Oceanography, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Justin Davis has authored 39 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oceanography, 18 papers in Atmospheric Science and 15 papers in Earth-Surface Processes. Recurrent topics in Justin Davis's work include Tropical and Extratropical Cyclones Research (16 papers), Coastal and Marine Dynamics (15 papers) and Ocean Waves and Remote Sensing (11 papers). Justin Davis is often cited by papers focused on Tropical and Extratropical Cyclones Research (16 papers), Coastal and Marine Dynamics (15 papers) and Ocean Waves and Remote Sensing (11 papers). Justin Davis collaborates with scholars based in United States, India and Canada. Justin Davis's co-authors include Y. Peter Sheng, Vladimir A. Paramygin, Jennifer A. Bridge, Renato Figueiredo, Stan Uryasev, Brian M. Phillips, David R. Forrest, Forrest J. Masters, Pedro L. Fernández-Cabán and A. Sheremet and has published in prestigious journals such as Monthly Weather Review, Materials and Journal of Atmospheric and Oceanic Technology.

In The Last Decade

Justin Davis

36 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin Davis United States	12	140	118	98	62	45	39	315
Xi Feng China	11	139 1.0×	147 1.2×	145 1.5×	34 0.5×	30 0.7×	33	343
Kyu-Han Kim South Korea	9	35 0.3×	22 0.2×	97 1.0×	15 0.2×	25 0.6×	75	379
Peng Zheng China	9	85 0.6×	70 0.6×	97 1.0×	47 0.8×	28 0.6×	36	307
Jan Viebahn Netherlands	11	161 1.1×	175 1.5×	14 0.1×	195 3.1×	20 0.4×	20	344
Chih-Min Hsieh Taiwan	10	59 0.4×	113 1.0×	107 1.1×	30 0.5×	69 1.5×	24	322
Chinmay S. Kulkarni United States	11	37 0.3×	116 1.0×	23 0.2×	35 0.6×	19 0.4×	22	338
Dongyu Feng United States	7	47 0.3×	24 0.2×	9 0.1×	64 1.0×	24 0.5×	24	222
S. V. V. Arun Kumar India	12	87 0.6×	140 1.2×	108 1.1×	49 0.8×	50 1.1×	30	362
Fangjie Yu China	10	45 0.3×	206 1.7×	21 0.2×	66 1.1×	41 0.9×	45	332
Sudhir Kumar Chaturvedi India	9	22 0.2×	91 0.8×	15 0.2×	35 0.6×	21 0.5×	25	328

Countries citing papers authored by Justin Davis

Since Specialization

Citations

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

Fields of papers citing papers by Justin Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Davis

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

Phillips, Brian M., Forrest J. Masters, Britt Raubenheimer, et al.. (2023). An Experimental Platform to Study Wind, Hydrodynamic, and Biochemical Conditions in the Littoral Zone During Extreme Coastal Storms. Oceanography. 1 indexed citations

Suchy, Yana, et al.. (2022). Ecological validity reconsidered: the Night Out Task versus the D-KEFS. Journal of Clinical and Experimental Neuropsychology. 44(8). 562–579. 6 indexed citations

Fernández-Cabán, Pedro L., et al.. (2021). Cyber-physical aerodynamic shape optimization of a tall building in a wind tunnel using an active fin system. Journal of Wind Engineering and Industrial Aerodynamics. 220. 104835–104835. 10 indexed citations

Peng, Zhengyu, et al.. (2018). Long-time non-contact water level measurement with a 5.8-GHz DC-coupled interferometry radar. 1–5. 4 indexed citations

Fernández-Cabán, Pedro L., et al.. (2018). Multi-Objective Optimal Design of a Building Envelope and Structural System Using Cyber-Physical Modeling in a Wind Tunnel. Frontiers in Built Environment. 4. 12 indexed citations

Davis, Justin, et al.. (2017). Mineral Profile of Hybrid Napier Grass Under Slurry Irrigation. International Journal of Advanced Research in Biological Sciences (IJARBS). 4(3). 119–126.

Bufford, Daniel Charles, et al.. (2017). In Situ TEM Multi-Beam Ion Irradiation as a Technique for Elucidating Synergistic Radiation Effects. Materials. 10(10). 1148–1148. 12 indexed citations

Henderson, Barron H., et al.. (2016). Comparing Standard to Feature-Based Meteorological Model Evaluation Techniques in Bogotá, Colombia. Journal of Applied Meteorology and Climatology. 56(2). 391–413. 14 indexed citations

Sheremet, A., et al.. (2016). TRIADS: A phase-resolving model for nonlinear shoaling of directional wave spectra. Ocean Modelling. 99. 60–74. 12 indexed citations

10.

Paramygin, Vladimir A., et al.. (2016). Simulating the Response of Estuarine Salinity to Natural and Anthropogenic Controls. Journal of Marine Science and Engineering. 4(4). 76–76. 2 indexed citations

11.

Sheng, Y. Peter, Justin Davis, Renato Figueiredo, et al.. (2012). A Regional Testbed for Storm Surge and Coastal Inundation Models—An Overview. Estuarine and Coastal Modeling. 476–495. 14 indexed citations

12.

Davis, Justin, Vladimir A. Paramygin, Renato Figueiredo, et al.. (2012). The Coastal Science Educational Virtual Appliance (CSEVA). Estuarine and Coastal Modeling. 5. 359–377. 3 indexed citations

13.

Sheng, Y. Peter, Justin Davis, Renato Figueiredo, & Pãnos M. Pardalos. (2011). Development of a Multimodal Transportation Educational Virtual Appliance (MTEVA) to Study Congestion during Extreme Tropical Events. Transportation Research Board 91st Annual MeetingTransportation Research Board. 2 indexed citations

14.

Davis, Justin, et al.. (2010). Advancing Educational Capacity: Using the SCOOP Educational Virtual Appliance. 201–220. 2 indexed citations

15.

Davis, Justin, Vladimir A. Paramygin, David R. Forrest, & Y. Peter Sheng. (2010). Toward the Probabilistic Simulation of Storm Surge and Inundation in a Limited-Resource Environment. Monthly Weather Review. 138(7). 2953–2974. 25 indexed citations

16.

Sheng, Y. Peter, et al.. (2008). Circulation and Flushing in the Lagoonal System of the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), Florida. Journal of Coastal Research. 10055. 9–25. 26 indexed citations

17.

Davis, Justin, Vladimir A. Paramygin, Arijit Ganguly, Renato Figueiredo, & Y. Peter Sheng. (2006). Simulation of Storm Surge Using Grid Computing. 357–374. 4 indexed citations

18.

Sheng, Y. Peter, et al.. (2004). Integrated-Process and Integrated-Scale Modeling of Large Coastal and Estuarine Areas. 407–422. 3 indexed citations

19.

Davis, Justin & Y. Peter Sheng. (2000). High Performance Estuarine and Coastal Environmental Modeling: The CH3D Example. Estuarine and Coastal Modeling. 470–484. 1 indexed citations

20.

Sheng, Y. Peter & Justin Davis. (1997). Modeling Tidal Circulation in Florida Bay. Coastal Engineering 1996. 94(25). 4242–4252.

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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