Jay Ratcliff

701 total citations
14 papers, 493 citations indexed

About

Jay Ratcliff is a scholar working on Signal Processing, Oceanography and Ecology. According to data from OpenAlex, Jay Ratcliff has authored 14 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 4 papers in Oceanography and 4 papers in Ecology. Recurrent topics in Jay Ratcliff's work include Data Management and Algorithms (5 papers), Ocean Waves and Remote Sensing (4 papers) and Tropical and Extratropical Cyclones Research (4 papers). Jay Ratcliff is often cited by papers focused on Data Management and Algorithms (5 papers), Ocean Waves and Remote Sensing (4 papers) and Tropical and Extratropical Cyclones Research (4 papers). Jay Ratcliff collaborates with scholars based in United States, France and Canada. Jay Ratcliff's co-authors include Donald T. Resio, Jennifer L. Irish, Jeffrey A. Melby, Seung‐Woo Kim, Norberto C. Nadal-Caraballo, Shengru Tu, Xuefeng Li, Jane McKee Smith, Mahdi Abdelguerfi and Kevin Shaw and has published in prestigious journals such as Journal of Physical Oceanography, Natural Hazards and Computing in Science & Engineering.

In The Last Decade

Jay Ratcliff

14 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Ratcliff United States 7 392 247 194 165 54 14 493
A. F. Blumberg United States 9 245 0.6× 168 0.7× 203 1.0× 122 0.7× 60 1.1× 24 400
Vladimir A. Paramygin United States 14 353 0.9× 253 1.0× 142 0.7× 249 1.5× 78 1.4× 31 481
Masashi Minamide United States 10 555 1.4× 135 0.5× 440 2.3× 58 0.4× 8 0.1× 18 606
Hasan Pourtaheri United States 6 508 1.3× 322 1.3× 179 0.9× 362 2.2× 157 2.9× 6 667
Jesse Feyen United States 8 495 1.3× 310 1.3× 183 0.9× 281 1.7× 69 1.3× 17 640
Mark Hope United States 7 474 1.2× 319 1.3× 133 0.7× 318 1.9× 75 1.4× 9 570
Bachir Annane United States 11 388 1.0× 188 0.8× 160 0.8× 54 0.3× 19 0.4× 18 480
Norberto C. Nadal-Caraballo United States 9 305 0.8× 131 0.5× 178 0.9× 90 0.5× 22 0.4× 35 384
Kwok Fai Cheung United States 9 364 0.9× 258 1.0× 106 0.5× 216 1.3× 47 0.9× 20 462
Carlos Mejía France 10 114 0.3× 302 1.2× 141 0.7× 15 0.1× 59 1.1× 33 452

Countries citing papers authored by Jay Ratcliff

Since Specialization
Citations

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

Fields of papers citing papers by Jay Ratcliff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Ratcliff

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

All Works

14 of 14 papers shown
1.
Heath, Ronald E., Gary L. Brown, Charles D. Little, et al.. (2015). Old River Control Complex sedimentation investigation. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 7 indexed citations
3.
Kim, Seung‐Woo, Jeffrey A. Melby, Norberto C. Nadal-Caraballo, & Jay Ratcliff. (2014). A time-dependent surrogate model for storm surge prediction based on an artificial neural network using high-fidelity synthetic hurricane modeling. Natural Hazards. 76(1). 565–585. 76 indexed citations
4.
Ratcliff, Jay & Jane McKee Smith. (2011). Sea Level Rise Impacts to Military Installations in Lower Chesapeake Bay. 4. 740–752. 8 indexed citations
5.
Morang, Andrew, et al.. (2010). Mississippi River Sediment Availability Study: Summary of Available Data. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 3 indexed citations
6.
Atkinson, J. H., Joannes J. Westerink, Ty V. Wamsley, et al.. (2008). Hurricane Storm Surge and Wave Modeling in Southern Louisiana: A Brief Overview. 467–506. 7 indexed citations
7.
Irish, Jennifer L., Donald T. Resio, & Jay Ratcliff. (2008). The Influence of Storm Size on Hurricane Surge. Journal of Physical Oceanography. 38(9). 2003–2013. 341 indexed citations
8.
Ratcliff, Jay, et al.. (2007). Hydraulic Splines: A Hybrid Approach to Modeling River Channel Geometries. Computing in Science & Engineering. 9(5). 4–15. 13 indexed citations
9.
Ratcliff, Jay, et al.. (2005). Automated terrain generation using LIDAR and waterbody survey data. 3. 1185–1189. 1 indexed citations
10.
Abdelguerfi, Mahdi, et al.. (2004). Integrating Web services into map image applications. 43. 44–49 Vol.1. 3 indexed citations
11.
12.
Ratcliff, Jay, et al.. (2002). Web-based distribution of GIS metropolitan maps. 419–424. 6 indexed citations
14.
Tu, Shengru, et al.. (2001). A systematic approach to reduction of user-perceived response time for GIS web services. 47–52. 18 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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