W. C. Thacker

2.5k total citations
62 papers, 1.9k citations indexed

About

W. C. Thacker is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, W. C. Thacker has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Oceanography, 24 papers in Atmospheric Science and 21 papers in Global and Planetary Change. Recurrent topics in W. C. Thacker's work include Oceanographic and Atmospheric Processes (33 papers), Meteorological Phenomena and Simulations (20 papers) and Climate variability and models (16 papers). W. C. Thacker is often cited by papers focused on Oceanographic and Atmospheric Processes (33 papers), Meteorological Phenomena and Simulations (20 papers) and Climate variability and models (16 papers). W. C. Thacker collaborates with scholars based in United States, Saudi Arabia and Israel. W. C. Thacker's co-authors include Robert Bryan Long, Eli Tziperman, J. W. Lavelle, Mohamed Iskandarani, Ashwanth Srinivasan, Omar Knio, Justin Winokur, Ihab Sraj, Donald V. Hansen and Alen Alexanderian and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Fluid Mechanics and Journal of Climate.

In The Last Decade

W. C. Thacker

58 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. C. Thacker United States 24 903 788 639 384 164 62 1.9k
Mohamed Iskandarani United States 23 801 0.9× 779 1.0× 467 0.7× 359 0.9× 174 1.1× 68 1.6k
Robert N. Miller United States 22 1.2k 1.3× 1.2k 1.5× 1.0k 1.6× 350 0.9× 48 0.3× 53 2.2k
R. W. Lardner Canada 24 843 0.9× 313 0.4× 313 0.5× 126 0.3× 114 0.7× 104 2.0k
Andrew C. Poje United States 25 1.2k 1.3× 674 0.9× 475 0.7× 306 0.8× 93 0.6× 62 1.9k
François-Xavier Le Dimet France 8 411 0.5× 1.1k 1.4× 854 1.3× 255 0.7× 39 0.2× 24 1.6k
Graham Hughes Australia 24 739 0.8× 553 0.7× 539 0.8× 549 1.4× 108 0.7× 78 2.0k
A. S. Monin Russia 20 401 0.4× 719 0.9× 678 1.1× 435 1.1× 161 1.0× 75 1.8k
François‐Xavier Le Dimet France 20 184 0.2× 575 0.7× 435 0.7× 345 0.9× 34 0.2× 57 1.2k
Alberto Scotti United States 26 948 1.0× 640 0.8× 364 0.6× 722 1.9× 365 2.2× 74 2.0k
Ralf Giering Germany 23 1.1k 1.2× 1.4k 1.8× 2.0k 3.2× 154 0.4× 34 0.2× 45 3.0k

Countries citing papers authored by W. C. Thacker

Since Specialization
Citations

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

Fields of papers citing papers by W. C. Thacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. C. Thacker. 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 W. C. Thacker. The network helps show where W. C. Thacker may publish in the future.

Co-authorship network of co-authors of W. C. Thacker

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

All Works

20 of 20 papers shown
1.
Iskandarani, Mohamed, et al.. (2016). An overview of uncertainty quantification techniques with application to oceanic and oil‐spill simulations. Journal of Geophysical Research Oceans. 121(4). 2789–2808. 32 indexed citations
2.
Iskandarani, Mohamed, et al.. (2016). Propagation of uncertainty and sensitivity analysis in an integral oil‐gas plume model. Journal of Geophysical Research Oceans. 121(5). 3488–3501. 9 indexed citations
3.
Winokur, Justin, Ihab Sraj, Omar Knio, et al.. (2013). A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
4.
Srinivasan, Ashwanth, Eric P. Chassignet, Laurent Bertino, et al.. (2011). A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances. Ocean Modelling. 37(3-4). 85–111. 26 indexed citations
5.
Thacker, W. C., Ashwanth Srinivasan, Mohamed Iskandarani, Omar Knio, & Matthieu Le Hénaff. (2011). Propagating boundary uncertainties using polynomial expansions. Ocean Modelling. 43-44. 52–63. 28 indexed citations
6.
Srinivasan, Ashwanth, Omar Knio, Vassiliki H. Kourafalou, et al.. (2010). Many Task Computing for modeling the fate of oil discharged from the Deep Water Horizon well blowout. 1–7. 4 indexed citations
7.
Thacker, W. C.. (2008). Estimating Salinity between 25° and 45°S in the Atlantic Ocean Using Local Regression. Journal of Atmospheric and Oceanic Technology. 25(1). 114–130. 8 indexed citations
8.
Cummings, Jim, Alan J. Wallcraft, Harley E. Hurlburt, et al.. (2006). The Navy Coupled Ocean Data Assimilation (NCODA) System in HYCOM.
9.
Thacker, W. C., et al.. (2006). Estimating salinity to complement observed temperature: 2.Northwestern Atlantic. Journal of Marine Systems. 65(1-4). 249–267. 14 indexed citations
10.
Hansen, Donald V. & W. C. Thacker. (1999). Estimation of salinity profiles in the upper ocean. Journal of Geophysical Research Atmospheres. 104(C4). 7921–7933. 29 indexed citations
11.
Thacker, W. C., et al.. (1997). A comparision of low-dimensional representations of sea-surface temperature anomalies in the North Atlantic. International Journal of Climatology. 17(9). 953–967. 3 indexed citations
12.
Thacker, W. C., et al.. (1997). PARTITIONING THE NORTH ATLANTIC INTO REGIONS OF SIMILAR SEASONAL SEA-SURFACE TEMPERATURE ANOMALIES. International Journal of Climatology. 17(1). 3–23. 3 indexed citations
13.
Thacker, W. C., et al.. (1996). Climatic Indices, Principal Components, and the Gauss-Markov Theorem. Journal of Climate. 9(8). 1942–1958. 14 indexed citations
14.
Thacker, W. C.. (1996). Metric-based principal components:. data uncertainties. Tellus A Dynamic Meteorology and Oceanography. 48(4). 584–592. 11 indexed citations
15.
Thacker, W. C., et al.. (1994). The rigid lid's contribution to the ill‐conditioning of oceanic inverse problems. Journal of Geophysical Research Atmospheres. 99(C5). 10131–10141. 3 indexed citations
16.
Long, Robert Bryan & W. C. Thacker. (1989). Data assimilation into a numerical equatorial ocean model. I. The model and the assimilation algorithm. Dynamics of Atmospheres and Oceans. 13(3-4). 379–412. 27 indexed citations
17.
Thacker, W. C.. (1980). A geodesic finite-difference method for curved domains: Simulations of tidal motion on a sphere. Journal of Computational Physics. 37(3). 355–370. 3 indexed citations
18.
Lavelle, J. W. & W. C. Thacker. (1978). EFFECTS OF HINDERED SETTLING ON SEDIMENT CONCENTRATION PROFILES. Journal of Hydraulic Research. 16(4). 347–355. 10 indexed citations
19.
Thacker, W. C.. (1977). Shear dispersion in time-varying flows. STIN. 78. 21421. 1 indexed citations
20.
Thacker, W. C.. (1977). Irregular Grid Finite-Difference Techniques: Simulations of Oscillations in Shallow Circular Basins. Journal of Physical Oceanography. 7(2). 284–292. 31 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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