E. J. Bayler

479 total citations
19 papers, 288 citations indexed

About

E. J. Bayler is a scholar working on Oceanography, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, E. J. Bayler has authored 19 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oceanography, 8 papers in Atmospheric Science and 6 papers in Environmental Engineering. Recurrent topics in E. J. Bayler's work include Oceanographic and Atmospheric Processes (13 papers), Climate variability and models (6 papers) and Ocean Waves and Remote Sensing (5 papers). E. J. Bayler is often cited by papers focused on Oceanographic and Atmospheric Processes (13 papers), Climate variability and models (6 papers) and Ocean Waves and Remote Sensing (5 papers). E. J. Bayler collaborates with scholars based in United States, France and Italy. E. J. Bayler's co-authors include Zhengyu Liu, Lixin Wu, Sudhir Nadiga, Avichal Mehra, Vladimir M. Krasnopolsky, David Behringer, Roberto Sabia, Nicolás Reul, Oleg Melnichenko and Nicolas Kolodziejczyk and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing and Journal of Physical Oceanography.

In The Last Decade

E. J. Bayler

16 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. J. Bayler United States	7	227	132	132	63	14	19	288
Kei Muneyama Japan	6	300 1.3×	101 0.8×	191 1.4×	30 0.5×	15 1.1×	15	332
J. Boutin France	11	320 1.4×	174 1.3×	146 1.1×	111 1.8×	16 1.1×	13	373
Yukio Kurihara Japan	6	190 0.8×	162 1.2×	151 1.1×	15 0.2×	28 2.0×	11	274
Senliang Bao China	7	203 0.9×	100 0.8×	93 0.7×	65 1.0×	11 0.8×	39	274
Rongwang Zhang China	9	179 0.8×	121 0.9×	147 1.1×	13 0.2×	25 1.8×	17	249
Sophie Belamari France	8	344 1.5×	190 1.4×	304 2.3×	16 0.3×	8 0.6×	12	401
Cristina González‐Haro Spain	11	210 0.9×	136 1.0×	98 0.7×	75 1.2×	15 1.1×	35	297
J.C.B. da Silva Portugal	8	264 1.2×	85 0.6×	54 0.4×	9 0.1×	16 1.1×	10	286
C.‐E. Testut France	8	432 1.9×	289 2.2×	355 2.7×	24 0.4×	20 1.4×	11	527

Countries citing papers authored by E. J. Bayler

Since Specialization

Citations

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

Fields of papers citing papers by E. J. Bayler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. J. Bayler. 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 E. J. Bayler. The network helps show where E. J. Bayler may publish in the future.

Co-authorship network of co-authors of E. J. Bayler

This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Bayler. A scholar is included among the top collaborators of E. J. Bayler 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 E. J. Bayler. E. J. Bayler 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:

19 of 19 papers shown

Bayler, E. J., Paul Chang, Jacqueline L. De La Cour, et al.. (2024). Satellite Oceanography in NOAA: Research, Development, Applications, and Services Enabling Societal Benefits from Operational and Experimental Missions. Remote Sensing. 16(14). 2656–2656. 1 indexed citations

Trossman, David S. & E. J. Bayler. (2022). An Algorithm to Bias-Correct and Transform Arctic SMAP-Derived Skin Salinities into Bulk Surface Salinities. Remote Sensing. 14(6). 1418–1418. 1 indexed citations

Vinogradova, Nadya, Tong Lee, Jacqueline Boutin, et al.. (2019). Satellite Salinity Observing System: Recent Discoveries and the Way Forward. Frontiers in Marine Science. 6. 137 indexed citations

Krasnopolsky, Vladimir M., Sudhir Nadiga, Avichal Mehra, & E. J. Bayler. (2018). Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean. Applied Computational Intelligence and Soft Computing. 2018. 1–10. 7 indexed citations

Link, Jason S., E. J. Bayler, Christopher W. Brown, et al.. (2017). High-level NOAA unified modeling overview.. NOAA Institutional Repository. 3 indexed citations

Kim, Hae-Cheol, Sudhir Nadiga, SeungHyun Son, et al.. (2017). Implications of ocean color in the upper water thermal structure at NINO3.4 region: a sensitivity study for optical algorithms and ocean color variabilities. GIScience & Remote Sensing. 55(4). 568–582. 3 indexed citations

Boyer, Tim, et al.. (2016). NCEI-TSG: A Global in situ Sea-surface Salinity and Temperature Database of Thermosalinograph (TSG) Observations. AGU Fall Meeting Abstracts. 2016. 1 indexed citations

Nadiga, Sudhir, Vladimir M. Krasnopolsky, E. J. Bayler, et al.. (2016). Neural network technique for gap-filling satellite ocean color observations.. NOAA Institutional Repository. 1 indexed citations

Krasnopolsky, Vladimir M., Sudhir Nadiga, Avichal Mehra, E. J. Bayler, & David Behringer. (2015). Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations. Computational Intelligence and Neuroscience. 2016. 1–9. 36 indexed citations

10.

Xie, P., Tim Boyer, E. J. Bayler, et al.. (2014). An in situ‐satellite blended analysis of global sea surface salinity. Journal of Geophysical Research Oceans. 119(9). 6140–6160. 21 indexed citations

11.

Sabia, Roberto, Marlene Klockmann, Diego Fernández‐Prieto, et al.. (2013). Satellite-based T/S Diagrams and Surface Ocean Water Masses. DIGITAL.CSIC (Spanish National Research Council (CSIC)).

12.

Font, Jordi, R. Sabia, Gary Lagerloef, et al.. (2012). Derivation of AN Experimental Satellite-Based T-S Diagram. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 2012. 1 indexed citations

13.

Sabia, R., Gary Lagerloef, E. J. Bayler, et al.. (2012). Derivation of an experimental satellite-based T-S diagram. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 5760–5763. 2 indexed citations

14.

Bayler, E. J.. (2011). Implications of satellite sea-surface salinity observations for operational microwave radiometry. Zenodo (CERN European Organization for Nuclear Research). 2. 1–8. 2 indexed citations

15.

Bayler, E. J.. (2011). Passive microwave observation spatial biases and uncertainty induced by sea-surface salinity. 1–8.

16.

Bayler, E. J. & Zhengyu Liu. (2008). Basin‐scale wind‐forced dynamics of the seasonal southern South China Sea gyre. Journal of Geophysical Research Atmospheres. 113(C7). 17 indexed citations

17.

Liu, Zhengyu, Lixin Wu, & E. J. Bayler. (1999). Rossby Wave–Coastal Kelvin Wave Interaction in the Extratropics. Part I: Low-Frequency Adjustment in a Closed Basin. Journal of Physical Oceanography. 29(9). 2382–2404. 32 indexed citations

18.

Batteen, Mary L., et al.. (1992). A Numerical Study of Wind- and Thermal-Forcing Effects on the Ocean Circulation off Western Australia. Journal of Physical Oceanography. 22(12). 1406–1433. 22 indexed citations

19.

Bayler, E. J.. (1991). Seasonal wind and ocean thermal forcing influences on the generation of the Leeuwin Current and its eddies. Defense Technical Information Center (DTIC). 1 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