Glen Watabayashi

450 total citations
8 papers, 318 citations indexed

About

Glen Watabayashi is a scholar working on Pollution, Oceanography and Global and Planetary Change. According to data from OpenAlex, Glen Watabayashi has authored 8 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pollution, 3 papers in Oceanography and 3 papers in Global and Planetary Change. Recurrent topics in Glen Watabayashi's work include Oil Spill Detection and Mitigation (8 papers), Atmospheric and Environmental Gas Dynamics (3 papers) and Oceanographic and Atmospheric Processes (2 papers). Glen Watabayashi is often cited by papers focused on Oil Spill Detection and Mitigation (8 papers), Atmospheric and Environmental Gas Dynamics (3 papers) and Oceanographic and Atmospheric Processes (2 papers). Glen Watabayashi collaborates with scholars based in United States, Canada and Norway. Glen Watabayashi's co-authors include S.D. Rice, Jeffrey W. Short, Joan F. Braddock, J.R. Payne, Douglas A. Wolfe, Julien Michel, Alan J. Mearns, J. A. Galt, Debra Simecek-Beatty and Robert D. Martín and has published in prestigious journals such as Environmental Science & Technology and International Oil Spill Conference Proceedings.

In The Last Decade

Glen Watabayashi

8 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Glen Watabayashi United States	5	195	123	116	72	71	8	318
J.R. Payne	3	227 1.2×	150 1.2×	117 1.0×	68 0.9×	73 1.0×	4	366
Gary Shigenaka United States	12	162 0.8×	159 1.3×	91 0.8×	80 1.1×	106 1.5×	31	396
M. Scott Miles United States	8	239 1.2×	183 1.5×	102 0.9×	74 1.0×	88 1.2×	12	387
William B. Driskell United States	9	172 0.9×	145 1.2×	97 0.8×	97 1.3×	56 0.8×	24	308
Buffy M. Meyer United States	9	245 1.3×	196 1.6×	105 0.9×	64 0.9×	94 1.3×	16	411
Gary S. Mauseth United States	5	211 1.1×	105 0.9×	94 0.8×	82 1.1×	126 1.8×	15	350
Alain Lamarche United States	4	195 1.0×	94 0.8×	88 0.8×	76 1.1×	123 1.7×	9	334
W Gardiner United States	7	184 0.9×	200 1.6×	76 0.7×	68 0.9×	51 0.7×	13	350
Andrew Graham United States	3	179 0.9×	89 0.7×	86 0.7×	74 1.0×	124 1.7×	6	331
Greg Challenger United States	4	182 0.9×	86 0.7×	88 0.8×	78 1.1×	127 1.8×	7	321

Countries citing papers authored by Glen Watabayashi

Since Specialization

Citations

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

Fields of papers citing papers by Glen Watabayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glen Watabayashi

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

All Works

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8 of 8 papers shown

1.

Watabayashi, Glen, et al.. (2017). Predicting Surface Oil Transport in California Using a High-Resolution Regional Ocean Modeling System (ROMS) and the National Oceanic and Atmospheric Administration's (NOAA's) Trajectory Analysis Planner (TAP). International Oil Spill Conference Proceedings. 2017(1). 2017309–2017309. 1 indexed citations

2.

MacFadyen, Amy, et al.. (2014). Utilization of the Northern Gulf Operational Forecast System to Predict Trajectories of Surface Oil from a Persistent Source Offshore of the Mississippi River Delta. International Oil Spill Conference Proceedings. 2014(1). 531–543. 2 indexed citations

3.

Mearns, Alan J., et al.. (2003). Using a New Dispersed Oil Model to Support Ecological Risk Assessment. International Oil Spill Conference Proceedings. 2003(1). 523–530. 6 indexed citations

4.

Simecek-Beatty, Debra, et al.. (1997). TRAJECTORY PREDICTION FOR BARGE BUFFALO 292 SPILL. International Oil Spill Conference Proceedings. 1997(1). 25–31. 5 indexed citations

5.

Wolfe, Douglas A., Glen Watabayashi, Jeffrey W. Short, et al.. (1994). The Fate of the Oil Spilled from the Exxon Valdez. Environmental Science & Technology. 28(13). 560A–568A. 186 indexed citations

6.

Wolfe, Douglas A., Julien Michel, J.R. Payne, et al.. (1994). The Fate of the Oil Spilled from the Exxon Valdez. Environmental Science & Technology. 28(13). 560A–568A. 111 indexed citations

7.

Galt, J. A., et al.. (1991). Trajectory Analysis for the Exxon Valdez: Hindcast Study. International Oil Spill Conference Proceedings. 1991(1). 629–634. 6 indexed citations

8.

Field, Loren J., Charles B. Henry, Jacqueline Michel, et al.. (1989). Exxon Valdez oil spill : NOAA's response, March 24-September 20, 1989. 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.

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