John G. W. Kelley

474 total citations
34 papers, 333 citations indexed

About

John G. W. Kelley is a scholar working on Oceanography, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, John G. W. Kelley has authored 34 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oceanography, 14 papers in Global and Planetary Change and 10 papers in Water Science and Technology. Recurrent topics in John G. W. Kelley's work include Oceanographic and Atmospheric Processes (18 papers), Hydrology and Watershed Management Studies (8 papers) and Marine and coastal ecosystems (8 papers). John G. W. Kelley is often cited by papers focused on Oceanographic and Atmospheric Processes (18 papers), Hydrology and Watershed Management Studies (8 papers) and Marine and coastal ecosystems (8 papers). John G. W. Kelley collaborates with scholars based in United States and Canada. John G. W. Kelley's co-authors include Gregory A. Lang, Joseph M. Russo, Philip Chu, Eric J. Anderson, Yi Chen, Keith W. Bedford, Jay S. Hobgood, Andrew M. Liebhold, David J. Schwab and Aijun Zhang and has published in prestigious journals such as IEEE Access, Bulletin of the American Meteorological Society and Environmental Modelling & Software.

In The Last Decade

John G. W. Kelley

33 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John G. W. Kelley United States	10	161	127	124	64	56	34	333
Merja Pulkkanen Finland	8	85 0.5×	92 0.7×	44 0.4×	66 1.0×	35 0.6×	10	272
Farhan Rizwi Australia	13	299 1.9×	39 0.3×	201 1.6×	259 4.0×	42 0.8×	25	501
Ksenija Cindrić Croatia	10	53 0.3×	132 1.0×	209 1.7×	24 0.4×	39 0.7×	17	361
Nikolaus Groll Germany	10	141 0.9×	142 1.1×	170 1.4×	40 0.6×	5 0.1×	19	333
Hannah M. Cooper United States	9	61 0.4×	101 0.8×	174 1.4×	204 3.2×	18 0.3×	12	406
Qing He China	16	68 0.4×	202 1.6×	340 2.7×	34 0.5×	86 1.5×	46	528
J. G. Leon France	4	73 0.5×	50 0.4×	290 2.3×	119 1.9×	220 3.9×	7	395
Benjamin Bass United States	11	36 0.2×	211 1.7×	248 2.0×	21 0.3×	77 1.4×	21	350
Henry Potter United States	11	299 1.9×	327 2.6×	301 2.4×	138 2.2×	13 0.2×	21	591
Renato Ramos da Silva Brazil	10	36 0.2×	256 2.0×	375 3.0×	66 1.0×	53 0.9×	26	458

Countries citing papers authored by John G. W. Kelley

Since Specialization

Citations

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

Fields of papers citing papers by John G. W. Kelley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. W. Kelley. 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 John G. W. Kelley. The network helps show where John G. W. Kelley may publish in the future.

Co-authorship network of co-authors of John G. W. Kelley

This figure shows the co-authorship network connecting the top 25 collaborators of John G. W. Kelley. A scholar is included among the top collaborators of John G. W. Kelley 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 John G. W. Kelley. John G. W. Kelley 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

Zhang, Yinglong, Emanuele Di Lorenzo, Ayumi Fujisaki‐Manome, et al.. (2025). Evaluation of a 3D unstructured grid model for the New York-New Jersey Harbor under different forcing sources. Ocean Modelling. 197. 102598–102598.

Kessler, James, Andrew D. Gronewold, Bahram Khazaei, et al.. (2025). Depth Matters: Lake Bathymetry Selection in Numerical Weather Prediction Systems. Journal of Geophysical Research Atmospheres. 130(2). 1 indexed citations

Kelley, John G. W., et al.. (2024). A database of in situ water temperatures for large inland lakes across the coterminous United States. Scientific Data. 11(1). 282–282. 5 indexed citations

Anderson, Eric J., et al.. (2023). Simulating flood events at the Twin Ports of Duluth-Superior using a linked hydrologic-hydrodynamic framework. Ocean Dynamics. 73(7). 433–447. 2 indexed citations

Ye, Fei, Yinglong Zhang, Zhengui Wang, et al.. (2023). A parallel Python-based tool for meshing watershed rivers at continental scale. Environmental Modelling & Software. 166. 105731–105731. 10 indexed citations

Benjamin, Stanley G., Tatiana G. Smirnova, Eric James, et al.. (2022). Inland lake temperature initialization via coupled cycling with atmospheric data assimilation. Geoscientific model development. 15(17). 6659–6676. 5 indexed citations

Masetti, Giuseppe, Mike J. Smith, Larry A. Mayer, & John G. W. Kelley. (2020). Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping. Frontiers in Marine Science. 6. 5 indexed citations

Richardson, Philip L., Yi Chen, John G. W. Kelley, et al.. (2016). Model Development and Hindcast Simulations of NOAA’s Gulf of Maine Operational Forecast System. Journal of Marine Science and Engineering. 4(4). 77–77. 9 indexed citations

Chen, Yi, et al.. (2014). The northern Gulf of Mexico Operational Forecast System (NGOFS) : model development and skill assessment. 4 indexed citations

10.

Zhang, Aijun, et al.. (2014). NOAA’s Nested Northern Gulf of Mexico Operational Forecast Systems Development. Journal of Marine Science and Engineering. 2(1). 1–17. 8 indexed citations

11.

Beaudoin, Jonathan, et al.. (2013). Oceanographic Weather Maps: Using Oceanographic Models to Improve Seabed Mapping Planning and Acquisition. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 3 indexed citations

12.

Ware, Colin, Peter Mitchell, & John G. W. Kelley. (2009). Designing Flow Visualizations for Oceanography and Meteorology using Interactive Design Space Hill Climbing.. 355–361. 2 indexed citations

13.

Kelley, John G. W., Aijun Zhang, Philip Chu, & Gregory A. Lang. (2007). Skill assessment of NOS Lake Superior Operational Forecast System (LSOFS). 4 indexed citations

14.

Heß, Kurt, et al.. (2003). NOS Procedures for Developing and Implementing Operational Nowcast and Forecast Hydrodynamic Model Systems.. IOC of UNESCO (Intergovernmental Oceanographic Commission). 2 indexed citations

15.

Hess, Kurt, et al.. (2003). NOS standards for evaluating operational nowcast and forecast hydrodynamic model systems. 29 indexed citations

16.

Kelley, John G. W., et al.. (1996). High-Resolution, Short-Term Lake Forecasts for Lake Erie. Estuarine and Coastal Modeling. 367–378. 1 indexed citations

17.

Kelley, John G. W.. (1995). One-Way Coupled Atmospheric-Lake Model Forecasts for Lake Erie.. OhioLink ETD Center (Ohio Library and Information Network). 3 indexed citations

18.

Kelley, John G. W., et al.. (1994). Short-Term Forecasts for Lake Erie. Hydraulic Engineering. 227–231. 1 indexed citations

19.

Kelley, John G. W., et al.. (1994). Coupled Lake Erie Air-Sea, Storm Resolving Forecasts and Predictions, the Viento Project. Estuarine and Coastal Modeling. 202–215. 2 indexed citations

20.

Kelley, John G. W., et al.. (1994). Daily Procedure for GLFS Nowcasts. Hydraulic Engineering. 202–206. 5 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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